Deadline Expired
The deadline for the first call has expired, and we are now busy reviewing the 189 applications received. If a second round of applications becomes necessary, the information will be posted here.
We are looking for 12 Doctoral Candidates to join the “WildDrone – Autonomous Drones for Nature Conservation Missions” Marie-Skłodowska-Curie Doctoral Network.
The overarching aim of WildDrone is to revolutionize wildlife conservation practices by integrating the fields of aerial robotics, computer vision, and wildlife ecology, using autonomous drone technology as a unifying platform. Expanding on the existing doctoral programs, the candidates will form an interdisciplinary network of researchers working across European and African countries.
Each of the 12 candidates will conduct research based in one of the three main subject areas of WildDrone. The candidates will work together within the WildDrone network and engage in multi-disciplinary training-by-research to develop technology in close collaboration with end-users.
The WildDrone consortium encompasses 20 partners across 10 countries in Europe, Africa and North America united in the common goal of benefiting wildlife. The Doctoral Candidates will be spread throughout 7 European countries working in both academic institutions and industrial companies:
In addition to these partners, the network includes University of Konstanz (Germany) Kenyatta University (Kenya), Ol Pejeta (wildlife reserve, Kenya), National Park Wadden Sea (wildlife reserve, Denmark), Kuzikus African Safaris (wildlife reserve, Namibia), KBR – an international high-technology company, Danish EPA environmental agency, BBC news outlet, WWF international wildlife foundation, and Danish Agriculture & Food Council, that have teamed up to establish a coordinated effort on researcher training in digital nature conservation.
All candidates will be expected to
- Work in a multidisciplinary team in an international environment.
- Have a deep interest in research and science.
- Possess outstanding research potential, as demonstrated by scientific accomplishments (e.g., quality of thesis, code repositories, conference presentations, outreach activities or publications).
- Have excellent communication skills in English, verbally as well as in scientific writing.
- Be willing to undertake international secondments, internships, and travels.
Please note that these expectations provide a framework for the role and should not be regarded as a definitive list. Other reasonable expectations and duties may be required consistent with the specific PhD project itself.
Additional information
We are searching for a diverse group of candidates with very different backgrounds and qualities, who inspire and motivate each other. We want every talent to feel at home in our organisations and be offered the same career opportunities. We especially welcome applicants from populations that are disproportionately underrepresented in the research fields of aerial robotics, computer vision, or wildlife ecology, and related industries, including applicants from the African continent, where many planned research activities will take place. The only limit is the MSCN mobility rule, dependent on the country of the hosting institution – ‘No residence or main activity (work, studies etc.) in the country of the recruiting beneficiary for more than 12 months in the 36 months before their recruitment date’.
We offer
- Salary consisting of living allowance (EUR 3400*), mobility allowance (EUR 600), family allowance (if applicable, EUR 600). Long-term leave allowance (EUR 4000) and special needs allowance are offered if applicable.
- Working hours that can be discussed and arranged so that they allow for the best possible work-life balance.
*A country correction coefficient applies to the living allowance in order to ensure equal treatment and purchasing power parity for all researchers. Salary rules apply to the doctoral candidates hosted in the European Union. Separate salary rules are applicable for doctoral candidates hosted in United Kingdom and Switzerland. Find more information on salary here.
The guaranteed PhD funding is for 36 months (i.e., EC funding, additional funding is possible, depending on the local Supervisor, and in accordance with the regular PhD time in the country of origin). In addition to their individual scientific projects, all fellows will benefit from further continuing education, which includes internships and secondments, a variety of training modules as well as transferable skills acquired through a unique immersive learning environment.
Do you want to apply?
The application deadline has expired. If you are interested, keep an eye here on our website, there might be a second call!
The application must include
- Motivated two-page application letter: one-page general motivation for WildDrone and one page motivating your interest in specific DC projects (at most 3).
- Detailed Curriculum Vitae (including contact information to 2-3 references, and list of publications if relevant).
- Certificates/ Diplomas (MSc).
- Scientific writing sample (e.g. publication or thesis chapter)
- WildDrone application form (https://wilddrone.eu/application-form/)
The recruitment procedure will be divided into 2 stages. In the first stage, recruitment committees for each subject area will evaluate candidate qualifications based on the application materials. All candidates will be informed whether they advance to stage 2. Project supervisors will evaluate the remaining candidates for their project, and the top candidates for each DC project will be invited for online interviews. References for the top candidates will be contacted at this stage. Interviews are tentatively expected to be held in late February 2023.
Doctoral Candidate Descriptions
Scouting Drones to Prevent Human-wildlife Conflict in Livestock Grazing Systems
In many African nations, wildlife share landscapes with human communities. Mixed-use systems, for example where pastoral communities graze cattle alongside wildlife populations, can benefit human economies and wildlife alike. However, a challenge of these systems is the potentially high rate of human-wildlife conflict. For example, predators can kill livestock and livestock can contract diseases from wild reservoirs, resulting in economic loss and negative attitudes toward wildlife. Many conflicts could be avoided if herders could easily detect potential wildlife threats on the landscape, predict their movement, and adjust livestock herd movements to avoid wildlife threats.
We are looking for a PhD candidate to study the movement and collective behavior of African savannah predators (lions) and herbivores (buffalo), and to build predictive models of animal movement based on behavioral snapshots. This work will form the basis of a drone-based scouting system for planning grazing routes in shared livestock-wildlife systems. The project combines fieldwork, image-based data, and analysis and modeling of collective behavior.
The candidate will:
- Conduct fieldwork at Ol Pejeta Conservancy in Laikipia, Kenya. Here the candidate will use drones to collect behavioral data on target wildlife species, and bio-loggers to track their long-term movements;
- Process drone footage and analyze resulting behavioral data to identify behavioral metrics that best predict future movement of wildlife groups;
- Use predictive modeling to determine how well we can predict future wildlife movement based on behavioral snapshots;
- Present results in scientific publications and at relevant professional conferences.
We Ask:
Required qualifications:
- Master’s or equivalent level degree in ecology, animal behavior, or related field. Graduates with a 4-year bachelor’s degree (with written thesis) in a related subject will be considered in exceptional cases.
- Proficiency in written and spoken English (C1 level). Non-native speakers need to provide documentation of their English proficiency (e.g. TOEFL). German proficiency is not required.
- Willingness to learn R or Python programming languages.
- Good organizational and communication skills.
- Mobility requirement: candidate cannot have lived, worked or studied in Germany for more than 12 months during the period of June 1, 2020 – May 31, 2023.
Preferred qualifications (applicants are not expected to have all of the following qualifications, but please highlight any you do have in your application):
- Experience in predictive modeling or machine learning
- Experience in working with image-based datasets
- Fieldwork experience in animal ecology or conservation
- Experience living or working in (East) Africa, including fieldwork experience
- Expertise in R or Python
We Offer:
The successful candidate will join the Herd Hover project (www.herdhover.com), led by Dr. Blair Costelloe and based in the Department of Collective Behavior at the Max Planck Institute of Animal Behavior and the University of Konstanz. We are a small team of scientists using drone- and image-based methods to study the behavior of animal species in real-world environments. The University of Konstanz and the Max Planck Institute of Animal Behavior together form a thriving research community representing a global hotspot for collective behavior and animal movement research, including the recently awarded Centre for the Advanced Study of Collective Behaviour. The student will join the International Max Planck Research School for Quantitative Behaviour, Ecology and Evolution (IMPRS-QBEE), a joint doctoral program between the Max Planck Institute of Animal Behavior and the University of Konstanz.
Konstanz is a vibrant small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). It is easy to get out into the beautiful German and Swiss countryside and the Alps, as well as to neighboring Zurich.
Project Facts:
Focus: Collect data and develop models necessary to develop a drone-based method for detecting threats along planned livestock grazing routes and predicting whether the behaviour and movement of the threatening species is likely to lead to an encounter with the livestock herd.
Planned Secondments: Ol Pejeta Conservancy (Kenya); fieldwork and data collection (twice).
Principal Supervisor: Blair Costelloe – Postdoctoral Fellow, Max Planck Institute of Animal Behavior
Academic Supervisor: Professor Martin Wikelski, Max Planck Institute of Animal Behavior
Main hosting site: Max Planck Institute of Animal Behavior (Germany), the Ph.D. degree will be awarded by University of Konstanz (Germany).
More information on the DC1 – Livestock-wildlife Interaction project
On the Wings of a Stork: Revealing the Dynamics of Soaring Environments
We are looking for a PhD candidate to study how soaring flight conditions for large migratory birds vary with time and season. The project studies the migration behaviour of white storks. Storks migrate in a soaring-gliding fashion. That means their flight depends entirely on vertical air currents (thermal updrafts). During soaring-gliding flight, individuals make use of updrafts to fly with minimal movement costs. But these fine-scale updrafts are invisible, dynamic, patchily distributed, and highly unpredictable. The project combines real-life 3D GPS bird tracking and drone and computer vision technology to explore the availability of thermal updrafts. We will use drones to autonomously gather data on terrain, land use, and other environmental factors to explore the dynamic environment that birds fly through.
The PhD candidate will investigate how drones can reproduce bird-inspired 3D flight paths, investigate the use of low-altitude images to understand where thermal updrafts occur, and quantify the spatial and temporal dynamic of thermal updraft availability.
The candidate will be involved in different techniques of quantitative data analysis. The ideal candidate should be prepared to conduct research independently and be willing to learn and apply new skills. Experience and interest in fieldwork are very welcome.
We Ask
- MSc or equivalent level degree in ecology, animal behavior, or related field. Graduates with a 4-year Bachelor’s degree (with written thesis) in a related subject will be considered in exceptional cases.
- Proficiency in written and spoken English (C1 level). Non-native speakers need to provide documentation of their English proficiency (e.g. TOEFL). German proficiency is not required.
- Willingness to learn R or Python programming languages. Prior familiarity with these or other programming languages preferred.
- Experience in data science and statistical modelling.
- Good organizational and communication skills.
We Offer
The successful candidate will join Collective Migration group (Flack flock – https://www.ab.mpg.de/flack), led by Dr. Andrea Flack at the Max Planck Institute of Animal Behavior and the University of Konstanz. We are a young, small group that explores the elements that shape migratory decisions of long-distance migrants. To do this, we use state-of-the-art high-resolution biologging in combination with experimental approaches in the field.
The University of Konstanz and the Max Planck Institute of Animal Behavior together form a thriving research community representing a global hotspot for collective behavior and animal movement research, including the recently awarded Centre for the Advanced Study of Collective Behaviour. The student will join the International Max Planck Research School for Quantitative Behaviour, Ecology and Evolution (IMPRS-QBEE), a joint doctoral program between the Max Planck Institute of Animal Behavior and the University of Konstanz.
Konstanz is a vibrant small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). It is easy to get out into the beautiful German and Swiss countryside and the Alps, as well as to neighboring Zurich.
Project Facts:
Focus: Understand how flight conditions for large migratory birds vary with time and season by combining real-life 3D bird tracking with drone and computer vision technology. We will use drones to autonomously gather data on terrain, land use, and other environmental factors to explore the dynamic environment that birds fly through.
Planned Secondments: Bruno Kessler Foundation (Italy) investigating real-time flight plan computations on drones; University of Münster (Germany) investigating the use of low-altitude images to create topological ground maps.
Principal Supervisor: Andrea Flack, Max Planck Institute of Animal Behavior
Academic Supervisor: Professor Martin Wikelski, Max Planck Institute of Animal Behavior
Main hosting site: Max Planck Institute of Animal Behavior (Germany), the Ph.D. will be awarded by University of Konstanz (Germany).
More information on the DC2 – Migration Analysis project
Tracking Cetaceans in Coastal Areas
Are you a highly motivated researcher and excited by an interdisciplinary project on developing autonomous drone technology for wildlife conservation? Are you interested in innovative and applied research to develop effective and feasible practices to monitor wildlife populations and manage human-wildlife conflicts? Then we invite you to apply for this exciting PhD position in our team!
The PhD candidate will study the possibility of using drones and real time deep learning techniques to assist Marine Mammal Observers in detecting and tracking cetaceans near offshore work sites to reduce impact on these species. The PhD will initially use already available drones and software solutions (SDU drones and WIP Harmony software solution) and will link to other PhD projects to test and improve their abilities to film and follow cetaceans. Trials are first made in ideal conditions and subsequently in more and more challenging weather and/or water turbidity conditions to determine the limits of such a protocol and propose recommendations for future commercial use.
We are looking for a PhD candidate who is keen to perform state-of-the-art research on automated or semiautomated methods to collect data on the presence of cetaceans in areas with human construction work. These methods will be based on neural networks specialized in cetacean recognition in different environmental conditions (turbidity, sea states, weather, depth of the animal) created from a dataset of videos with presence and absence of cetaceans. The candidate is expected to publish the research findings in leading international academic journals, but must also communicate well across disciplines, project partners and stakeholders (e.g. marine parks or offshore wind farms managers). The candidate could also be involved in the supervision of MSc students who perform their thesis research within the framework of the project.
We Ask
- MSc in computer science, mathematics or biology, ecology.
- Skills in working with image data and computer vision and machine learning algorithms.
- Experience in data science.
- Team player.
- Good organizational and communication skills.
- Excellent command of English (C1 level).
We Offer
Excellent terms of employment. A few highlights include:
- Paid parental leave
- 35h/week working hours that can be discussed and arranged so that they allow for the best possible work-life balance.
In addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team.
There are plenty of options for personal initiative in a learning environment, and the consortium provides excellent training opportunities. We offer a unique position in an international environment at the highest level with a pleasant and open working atmosphere.
You are going to work in a small French startup and at the University of Southern Denmark (SDU) with a good research environment with close links to experimental researchers.
WIPSEA is an SME specialized in digital environmental impact surveys thanks to the use of custom deep learning techniques to detect and recognize wildlife species in photos or videos.
WIPSEA was founded in 2013 and dedicated the last 8 years to Research and Development projects with several partners: French Biodiversity Office (OFB) and French marine protected areas, Obelix research team of South Brittany University (UBS), IFREMER and France Energies Marines (FEM). Since 2021, WIPSEA is offering services in aerial images automated analysis for human activities environmental impacts surveys to OFB, FEM and offshore wind farms builders and managers. WIPSEA is based in Brittany, France in the very dynamic city of Rennes.
SDU UAS Center brings together experts in robotics, computer vision, physics, software engineering, mechanical engineering, and cyber-physical systems to focus on research, education, innovation, and collaboration in the UAS domain. The Center is located at SDU Campus and at SDU UAS Test Center in HCA Airport near Odense. SDU UAS offers a specialized MSc in drone technology. SDU Department of Biology covers a wide range of topics from basic questions on the origin of life on Earth to societal challenges such as nature conservation.
Project Facts
Focus: Study the possibility to use drones and real time deep learning techniques to assist Marine Mammal Observers in detecting and tracking cetaceans near offshore work sites to reduce impact on these species.
Planned Secondments: University of Southern Denmark (Denmark); training for fieldwork. Max Planck Institute of Animal Behavior (Germany); behavioural data analysis.
Principal Supervisor: Gwénaël Duclos, WIPSEA
Academic Supervisor: Magnus Wahlberg – Associate Professor, University of Southern Denmark
Main hosting site: WIPSEA (France), the Ph.D. will be awarded by University of Southern Denmark (Denmark)
More information on the DC4 – Coastal Monitoring project
Drone-based Behavioral Studies and Abundance/Body Condition Estimates of Marine Mammals and Birds
We are looking for a highly motivated student and excited about an interdisciplinary project on developing autonomous drone technology for wildlife conservation? Are you interested in innovative and applied research to develop effective and feasible practices to monitor wildlife populations and manage human-wildlife conflicts? Do you have previous experience and a keen interest in wildlife biology, animal behavior – and drones?
Then we invite you to apply for this exciting PhD position in our team!
The PhD candidate will develop automated drone-based censusing techniques to monitor populations of marine mammals and birds, automate drone-based techniques to monitor the health of marine mammals and birds, develop guidelines for drone operations near to marine animals and acquire high-resolution data for studies on how animal populations are affected by climate change and human activities.
We are looking for a PhD candidate who is keen on developing techniques for monitoring the behavior and body condition of marine mammals and birds based on visual data acquired by drones. The candidate is expected to publish research findings in leading international academic journals, but must also communicate well across disciplines, project partners and stakeholders (e.g. government, development). The candidate will also be involved in the supervision of MSc students who perform their thesis research within the framework of the project.
We Ask
- MSc in biology or engineering, preferably in zoology, animal behavior or robotics.
- Previous experience in training animals, or
field work on wild animals. - Team player.
- Good organizational and communication skills.
- Excellent command of English (C1 level).
We Offer
With a PhD degree from the University of Southern Denmark, you will be well prepared for a future international research career. Throughout your PhD project you will take part in active research environments both in Denmark and abroad, and in doing so will achieve research results that are eligible for publication in recognized international scientific journals.
As a PhD student at the University of Southern Denmark, you will get:
- A PhD program at the highest international level.
- Broad contact interface with national and international research environments.
- Opportunities for overseas study visits or courses at recognized universities.
- A good research environment with close links to experienced researchers.
- Flexible working conditions.
In addition, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary is according to the Salary composing of living allowance (EUR 3400*), mobility allowance (EUR 600), family allowance (if applicable, EUR 600). *A country correction coefficient applies to the living allowance in order to ensure equal treatment and purchasing power parity for all researchers.
The University of Southern Denmark has a dedicated International Staff Office that will advise you throughout your boarding process. (https://www.sdu.dk/en/om_sdu/international_staff)
More Information
To learn more about this position, please contact Associate professor Magnus Wahlberg (magnus@biology.sdu.dk), or Associate Professor Henrik Skov Midtiby (hemi@mmmi.sdu.dk).
To learn more about SDU and PhD programs visit: (https://www.sdu.dk/en/forskning/phd)
We Are
The University of Southern Denmark welcomed the first students onto the campus in Odense in September 1966, and things have been developing by leaps and bounds ever since. We now have five faculties with more than 27,000 students, almost 20% of whom are from abroad, and more than 3,800 employees distributed across our main campus in Odense and regional campuses in Slagelse, Kolding, Esbjerg and Sønderborg. Several international studies document that we conduct world-class research and are one of the top fifty young universities in the world.
SDU Biology is located at SDU Campus in Odense. We conduct research in drone technologies and future drone applications. Research and teaching at the department spans a broad range of topics within biology, from fundamental questions about how life evolved on Earth and physiological adaptations of organisms, to pressing environmental and societal challenges; effects and mitigations of climate change, anthropogenic noise, endocrine disruptors and pollutants on marine and terrestrial life.
Project Facts
Focus: Developing drone techniques to monitor marine mammal and marine bird populations.
Planned Secondments: Ol Pejeta Conservancy (Kenya); extended field experiments for secondary data collection. Max Planck Institute of Animal Behavior (Germany); data analysis.
Principal Supervisor: Magnus Wahlberg – Associate Professor, University of Southern Denmark
Academic Supervisor: Henrik Skov Midtiby – Associate Professor, University of Southern Denmark
Main hosting site: University of Southern Denmark (Denmark)
More information on the DC8 – Real-time Census project
VTOL Drone Noise Profile Optimization for its Impact on Animal Behaviour
We are looking for a highly motivated researcher that gets excited by an interdisciplinary project on developing autonomous drone technology for wildlife conservation. Are you interested in developing techniques for the safe and unobtrusive use of drones to observe animals undetected? Then we invite you to apply for this PhD position in our team!
Drones with sound profiles and flight paths that support both non-interference with animal behaviors as well as transparency of operation are novel and ethically relevant. They will allow for high-quality observations of animals in-situ, and actively reduce risks of drone misuse. This will be accomplished by modifying the propellers and other elements of the drone’s power system while taking advantage of the differing hearing characteristics of the species to be observed.
The doctoral candidate will research noise profiles of propellors. There will be a focus on characterization of objective (i.e., loudness, frequency, harmonics) and subjective/psychoacoustic interpretation (i.e., annoyance, behavior change) resulting from noise of relevant drones on humans and animal species of interest. Acoustic tests will characterize the noise signature of various drone configurations at different operating conditions. The tests will be performed in the National Aeroacoustics Facility at the University of Bristol. The energy-frequency content and directivity of each drone system will be fully investigated and compared against available audiograms for wildlife species. The doctoral candidate will make use or develop a range of bespoke noise mitigation methods to reduce or alter the noise signature of the drone. This will include changes to the propeller size, number and type of blades, blade tip and trailing edge shapes, use of absorbing or reflective surfaces, etc. The doctoral candidate will conduct drone exposure experiments with captive animals to assess their ability to detect novel drone systems and their strength of responses.
Expected Results: Innovations in the design of drone propellers and power systems which minimize interference with animal behaviors but still provide transparency of operation to humans. A database of drone noise profiles, guidelines for designing drones for calmness, and a testing standard for flying drones near animals. The project will also develop and examine a range of bespoke passive or semi-active noise mitigation methods, depending on the hearing range and sensitivity of the species of interest, to reduce or alter the noise signature of the drones and will test these through experimental exposure of drone systems to captive animals.
We Ask
- MSc degree in physics, engineering or a related field.
- Team player.
- Good organizational and communication skills.
- Excellent command of English (C1 level).
We Offer
- Flexible working conditions.
- A job in a company determined to have a positive impact on the future.
- Experience the excitement, chaos, freedom and rapid growth of a tech startup from within… it will be the ride of your life!
- A warm atmosphere with regular drinks and occasional celebrations.
- A work culture based on freedom & trust.
- An awesome office in Amsterdam with a maker space, sauna, disco-toilet, and delicious lunches.
Project Facts:
Focus: Make use or develop a range of bespoke noise mitigation methods to reduce or alter the noise signature of the drone. The PhD student will conduct drone exposure experiments with captive animals to assess their ability to detect novel drone systems and their strength of responses.
Planned Secondments: University of Southern Denmark (Denmark); initial methodology and experiments. University of Bristol (UK); anechoic wind tunnel experiments and captive animals’ assessment with BZS (twice).
Principal Supervisor: Matthijs Damen, AVY
Academic Supervisors: Professor Ulrik Pagh Schultz Lundquist, University of Southern Denmark, Associate Professor Dylan Cawthorne, University of Southern Denmark.
Main hosting site: AVY BV (Netherlands), the Ph.D. will be awarded by University of Southern Denmark (Denmark)
More information on the DC5 – Calm Drones project
Automated Planning of Safe, Multi-drone Nature Conservation Missions
Are you a highly motivated researcher and excited by an interdisciplinary project on developing autonomous multi-drone technology for wildlife conservation? Are you interested in innovative and applied research to develop effective and feasible practices to monitor wildlife populations and manage human-wildlife conflicts? Then we invite you to apply for this exciting PhD position in our team!
The PhD candidate will develop and study novel coordination mechanisms that enable multi-drone systems to automatically monitor wildlife over extended periods of time based on high-level end-user specifications. Safety related to the wildlife, infrastructure, humans, and other actors in the airspace, will be an important aspect of the autonomous multi-drone operation. Safety must thus be considered both in individual drone behaviors and in the collective decision-making mechanisms to enable safe and reliable adaptation to animal movement and dynamic environmental conditions.
We are looking for a PhD candidate who is keen to perform state-of-the-art research on multi-drone coordination and autonomy in unstructured, real-world environments. The candidate is expected to publish the research findings in leading international academic journals, but must also communicate well across disciplines, project partners and stakeholders. The candidate will also be involved in the supervision of MSc students who perform their thesis research within the framework of the project.
We Ask
- MSc in robotics, autonomous systems, computer science, mathematics, physics, or a related field;
- Skills in working with autonomous robots and/or drones, preferably also with multi-robot systems;
- Experience in data analysis and statistics;
- Team player;
- Good organizational and communication skills;
- Excellent command of English (C1 level).
We Offer
With a PhD degree from the University of Southern Denmark, you will be well prepared for a future international research career. Throughout your PhD project you will take part in active research environments both in Denmark and abroad, and in doing so will achieve research results that are eligible for publication in recognized international scientific journals.
As a PhD student at the University of Southern Denmark, you will get:
- A PhD program at the highest international level
- Broad contact interface with national and international research environments
- Opportunities for overseas study visits or courses at recognized universities
- A good research environment with close links to experienced researchers
- Flexible working conditions
In addition, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team.
The University of Southern Denmark has a dedicated International Staff Office that will advise you throughout your boarding process. (https://www.sdu.dk/en/om_sdu/international_staff)
More Information
To learn more about this position, please contact Professor Anders Christensen (andc@mmmi.sdu.dk).
To learn more about SDU and PhD programs visit: (https://www.sdu.dk/en/forskning/phd)
We Are
The University of Southern Denmark welcomed the first students onto the campus in Odense in September 1966, and things have been developing by leaps and bounds ever since. We now have five faculties with more than 27,000 students, almost 20% of whom are from abroad, and more than 3,800 employees distributed across our main campus in Odense and regional campuses in Slagelse, Kolding, Esbjerg and Sønderborg. Several international studies document that we conduct world-class research and are one of the top fifty young universities in the world.
At SDU Biorobotics we research new innovative concepts within future autonomous robots, wearable robots and artificial intelligence. We get the inspiration from the behavior and structure of animals and we research how to make use of basic biological principles to design versatile and capable robots.
Project Facts
Focus: Model complex drone-based nature conservation missions involving multiple drones operating over an extended period of time, allowing specific missions to be carried out automatically based on high-level end-user specification provided through an interactive tool, while safety aspects of the specific mission are documented using through Bow-Tie Diagrams (BTDs), risk maps, and declarative rules, and adaptation to dynamic conditions such as tracking of moving animals is handled automatically.
Planned Secondments: KBR Wyle Services, LLC (USA); use of AdvoCATE methodology. University of Bristol (UK); integration with parasitic drone concept.
Principal Supervisor: Professor Anders Christensen, University of Southern Denmark
Academic Supervisor: Professor Ulrik Pagh Schultz Lundquist, University of Southern Denmark
Main hosting site: University of Southern Denmark (Denmark)
More information on the DC6 – Automated Planning project
Safe BVLOS Operation of Drones for Nature Conservation
Are you a highly motivated researcher and excited by an interdisciplinary project on developing autonomous drone technology for wildlife conservation? Are you interested in innovative and applied research to develop effective and feasible practices to monitor wildlife populations and manage human-wildlife conflicts? Then we invite you to apply for this exciting PhD position in our team!
The doctoral candidate will establish the technological and operational setup for safe autonomous BVLOS flights for nature conservation missions using Detect And Avoid (DAA) and interacting with UTM in restricted or uncontrolled airspace above rural areas Europe (under the EU Specific Operation Risk Assessment (SORA) framework and U-space services) and in Africa. The on-board system and the supporting UTM infrastructure will support dynamically adaptation to the number of drones with parasitic multi-drone missions and dynamically adapting the mission boundaries for adaptive tracking.
We are looking for a PhD candidate who is keen to perform state-of-the-art research on safe operation of autonomous drones for nature conservation. The candidate is expected to publish the research findings in leading international academic journals, but must also communicate well across disciplines, project partners and stakeholders (e.g. government, development). The candidate will also be involved in the supervision of MSc students who perform their thesis research within the framework of the project.
We Ask
- Masters in robotics engineering, or a related field,
- Skills in working with drones, robotics, autonomy, sensors and sensor data processing, safety and risk assessments,
- Experience in robotics frameworks such as ROS,
- Team player,
- Good organizational and communication skills,
- Excellent command of English (C1 level).
We Offer
With a PhD degree from the University of Southern Denmark, you will be well prepared for a future international research career. Throughout your PhD project you will take part in active research environments both in Denmark and abroad, and in doing so will achieve research results that are eligible for publication in recognized international scientific journals.
As a PhD student at the University of Southern Denmark, you will get:
- A PhD program at the highest international level
- Broad contact interface with national and international research environments
- Opportunities for overseas study visits or courses at recognized universities
- A good research environment with close links to experienced researchers
- Flexible working conditions
In addition, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team.
The University of Southern Denmark has a dedicated International Staff Office that will advise you throughout your boarding process. (https://www.sdu.dk/en/om_sdu/international_staff)
More Information
To learn more about this position, please contact Associate Professor Kjeld Jensen (kjen@mmmi.sdu.dk).
To learn more about SDU and PhD programs visit: (https://www.sdu.dk/en/forskning/phd)
We are
The University of Southern Denmark welcomed the first students onto the campus in Odense in September 1966, and things have been developing by leaps and bounds ever since. We now have five faculties with more than 27,000 students, almost 20% of whom are from abroad, and more than 3,800 employees distributed across our main campus in Odense and regional campuses in Slagelse, Kolding, Esbjerg and Sønderborg. Several international studies document that we conduct world-class research and are one of the top fifty young universities in the world.
SDU UAS Center is located at SDU Campus in Odense and at the nearby HCA Airport, where we run SDU UAS Test Center with laboratories and test facilities for drones. We conduct research in drone technologies and future drone applications. We are an interdisciplinary team of researchers with specializations within e.g. design and construction, robotics, computer vision, software and embedded systems. Together we create drone solutions to the benefit of society.
Project Facts
Focus: Establish the technological and operational setup for safe autonomous BVLOS flights for nature conservation missions.
Planned Secondments: KBR Wyle Services, LLC (USA); use of AdvoCATE methodology. Kenyatta University (Kenya); UTM experiments.
Principal Supervisor: Associate Professor Kjeld Jensen, University of Southern Denmark
Academic Supervisor: Professor Ulrik Pagh Schultz Lundquist, University of Southern Denmark
Main hosting site: University of Southern Denmark (Denmark)
More information on the DC7 – Flexible Deployment project
Parasitic Drones for Individual Identification
Are you a highly motivated researcher and excited by an interdisciplinary project on developing autonomous drone technology for wildlife conservation? Are you interested in innovative and applied research to develop effective and feasible practices to monitor wildlife populations and manage human-wildlife conflicts? Then we invite you to apply for this exciting PhD position in our team!
The PhD candidate will develop the control systems and physical mechanisms required to deploy and recapture a small parasitic drone from a larger, long endurance drone platform. They will also develop and flight test real-time path planning algorithms for multi-viewpoint visual data collection, closely integrating aircraft control and vision systems to generate real-time navigational goals for animal detection.
We are looking for a PhD candidate who is keen to perform state-of-the-art research on the dynamics and control of drones for wildlife conservation. The candidate is expected to publish the research findings in leading international academic journals, but must also communicate well across disciplines, project partners and stakeholders. The candidate will also be involved in the supervision of MSc students who perform their thesis research within the framework of the project.
We Ask
- A first-class undergraduate degree (or international equivalent) in aerospace engineering, robotics, or a related field;
- Excellent software development skills in one or more programming languages, e.g. C++ and Python, plus associated working methods and tools (e.g. version control, toolchains, styles and standards, or systems engineering)
- Team player;
- Good organizational and communication skills;
- Excellent command of English (C1 level).
More Information
To learn more about this position, please contact Prof. Tom Richardson (thomas.richardson@bristol.ac.uk).
We Are
The Bristol Flight Lab is the University of Bristol’s centre for multi-disciplinary aerial robotics research. This collaboration of five academic staff brings together over 40 researchers, students and support staff in the theme of aerial robotics. The lab operates numerous fixed-wing and multi-rotor drones, and has specialist rapid prototyping, avionics and logistics facilities to support operations in the field. Indoor flight tests are conducted at the Bristol Robotics Laboratory https://www.bristolroboticslab.com/ and outdoor test flights at the University’s Fenswood Farm. https://flight-lab.bristol.ac.uk/
The University of Bristol’s Visual Information Laboratory (VI-Lab) exists to undertake innovative, collaborative and interdisciplinary research resulting in world leading technology in the areas of computer vision, image and video communications, content analysis and distributed sensor systems. VI-Lab was formed in 2010 from a building a collaboration across the Departments of Computer Science and Electrical and Electronic Engineering. It now hosts some 70 researchers – one of the largest groupings of its type in the UK. https://vilab.blogs.bristol.ac.uk/
The Faculty operates a collegial, integrated and team-based culture and the staff have a very positive ‘can-do’ approach. We have an active well-being programme and a series of social events throughout the year which make it a vibrant environment in which to work.
As a leading global institution, we are keen to attract the most highly talented individuals from a diverse range of backgrounds. Further information on our commitment to equality and diversity can be found at: http://www.bris.ac.uk/jobs/diversity.html
We are committed to creating and sustaining a positive and mutually supportive working environment for our staff and an excellent teaching and learning experience for our students, where staff are equally valued and respected, and students are encouraged to thrive academically. We offer a broad range of services, activities and initiatives to enhance our staff experience of working at Bristol. For more information, please see http://www.bristol.ac.uk/positive-working/
The University of Bristol https://www.bristol.ac.uk/ is an international powerhouse of learning, discovery and enterprise. Its vision is of a university whose excellence is acknowledged locally, nationally and globally. The Sunday Times (March 2017), Daily Telegraph (October 2013) and Independent (March 2014) describe Bristol as the UK’s most desirable location.
The University is a member of the Worldwide Universities Network, a grouping of 19 research-led institutions of international standing, and of the Russell Group of universities, an association of 24 major research-intensive universities of the UK.
The University of Bristol is dedicated to academic achievement across a broad range of disciplines. It is made up of 27 schools, organised in six faculties: Arts; Biomedical Sciences; Engineering; Health Sciences; Science; Social Sciences and Law. It has approximately 23,000 students (17,000 undergraduates and 6,100 postgraduates) from around 100 countries. The Quality Assurance Agency for Higher Education, which carried out an institutional audit of the University in 2016, has confirmed that Bristol meets its expectations (the highest rating available) for management of education and the academic standards of its awards. The University currently has 40 Fellows of the Royal Society and 15 of the British Academy – a remarkable achievement for a relatively small institution.
Project Facts
Focus: Employ larger fixed-wing drones/UAS for surveys, releasing and recovering smaller aerial robots for efficient multiviewpoint capture and high-resolution close-up photography of individual animals.
Planned Secondments: University of Münster (Germany); integration with computer vision subsystem. AVY (Netherlands); experiments and integration with the Avy platform.
Principal Supervisor: Professor Thomas Richardson, University of Bristol
Main hosting site: University of Bristol (United Kingdom)
More information on the DC13 – Parasitic Drones project
Detecting Posture, Metrics and Biometrics of Animals from Drone Data
Are you a highly motivated researcher and excited by an interdisciplinary project on autonomous processing of drone-based data for wildlife conservation? Are you interested in innovative and applied research to develop effective and feasible practices to monitor wildlife populations and manage human-wildlife conflicts? Then we invite you to apply for this exciting PhD position in our team!
The PhD candidate will investigate and develop new solutions for autonomous planning of drone flights and automated scene interpretation based on AI methods. This includes realizing an advanced planning tool to optimize flight resources (with respect to batteries, time, etc.) and achieving safe and autonomous surveying of wild areas with animals; analyzing, processing and fusing all data collected by the onboard sensors (cameras, LiDAR, IMU/GNSS) to deliver innovative algorithms to track and recognize animals as well as provide 3D measurements.
We are looking for a PhD candidate who is keen to perform innovative research in photogrammetry, computer vision, Artificial Intelligence and planning to support on-board optimization of flight resources identification and semantic 3D reconstruction of wildlife from drone data. The developed solutions, tested and validated using imagery acquired in partner wildlife parks, will facilitate monitoring and detecting postures and biometrics useful for monitoring and conservation purposes.
The candidate is expected to publish the research findings in leading international academic journals or conferences, but must also communicate well across disciplines, project partners and stakeholders.
We Ask
- MSc in geomatics, computer science, mathematics, AI or a related field;
- Skills in working with images, point clouds and AI algorithms
- Experience in data science, SLAM and 3D data processing;
- Team player;
- Good organizational and communication skills;
- Excellent command of English (C1 level).
We Offer
The Fondazione Bruno Kessler (FBK – https://www.fbk.eu/en/) is the top Research Institute in Italy, ranked at the 1st place for scientific excellence within 3 different subject areas and for the economic and social impact according to the latest quality of research Italian evaluation (https://www.fbk.eu/en/result/fbk-ranks-1st-in-italy-for-scientific-excellence-in-three-areas/).
FBK has some 3,500 square meters of laboratories and scientific infrastructures and a community of over 400 researchers, 140 doctoral students, 200 visiting fellows and thesis students, 700 affiliates and accredited students combined.
FBK acts as a scientific and technological hub and its premises and platforms host a lively ecosystem of co-located ventures, spin-offs, projects and training opportunities.
FBK PhD students are formally enrolled at the partner Doctoral Schools (in case of WildDrone at the University of Münster – WWU: www.uni-muenster.de), but develop their research programs at FBK in Trento, a top-level research institution in Italy.
FBK offers excellent terms of employment, including:
- Working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
- A unique position in an international environment with a pleasant and open working atmosphere;
- Company subsidized cafeteria or meal vouchers;
- Welcome office support for visa formalities, accommodation etc.
In addition to these benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team.
The PhD student will be supervised by FBK researchers within 2 research groups:
- 3D Optical Metrology (https://3dom.fbk.eu/)
- Embedded Systems (https://es.fbk.eu/)
Project Facts
Focus: Investigate and develop new solutions for autonomous planning of drone flights and automated scene interpretation based on AI methods.
Planned Secondments: University of Bristol (UK); flight planning, flight dynamics. University of Münster (Germany); tracking, segmentation, SLAM.
Principal Supervisor: Professor Fabio Remondino and Dr Andrea Micheli, Bruno Kessler Foundation
Academic Supervisor: Professor Benjamin Risse, University of Münster
Main hosting site: Fondazione Bruno Kessler (Italy), the Ph.D. will be awarded by University of Münster (Germany)
More information on the DC9 – Individual Characteristics projects
Reconstructing Natural Habitats from Multimodal Drone Measurements
Are you a highly motivated researcher and excited by an interdisciplinary project on developing autonomous drone technology for wildlife conservation? Are you interested in innovative and applied research to develop effective and feasible practices to monitor wildlife populations and manage human-wildlife conflicts? Then we invite you to apply for this exciting PhD position in our team!
The PhD candidate will implement state-of-the-art terrain reconstruction techniques such as SLAM and Structure from Motion algorithms, investigate deep learning algorithms for semantic segmentation and object recognition, and analyze a variety of challenges inherently present in Drone-based image footage such as critical configurations.
We are looking for a PhD candidate who is keen to perform state-of-the-art research on computer vision and machine learning algorithms to generate 3D reconstructions of natural animal habitats from continuous drone video recordings. The candidate is expected to publish the research findings in leading international academic journals, but must also communicate well across disciplines, project partners and stakeholders (e.g. government, development). The candidate will also be involved in the supervision of MSc students who perform their thesis research within the framework of the project.
We Ask
- Masters in computer science, mathematics, physics, or a related field;
- Skills in working with image data and computer vision and machine learning algorithms;
- Experience in data science;
- Team player;
- Good organizational and communication skills;
- Excellent command of English (C1 level).
We Offer
The University of Münster offers excellent terms of employment. A few highlights include:
- paid parental leave;
- working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
- there is a strong focus on vitality and you can make use of the sports facilities available on campus for a small fee;
In addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team.
There are plenty of options for personal initiative in a learning environment, and we provide excellent training opportunities. We offer a unique position in an international environment with a pleasant and open working atmosphere.
You are going to work at one of the largest universities in Germany with a rich and time-honored tradition. It enjoys an outstanding reputation in the region and far beyond. As a research-oriented university, the WWU has made pioneering progress in numerous areas.
The University of Münster is committed to offering excellent research opportunities, high-quality teaching and strong support to its junior researchers. Ensuring equal opportunity for both men and women is also a matter of vital interest.
The International Office of the University of Münster (https://www.uni-muenster.de/InternationalOffice/en/) advises students, academics and staff who are planning a stay abroad or, vice-versa, would like to stay at Münster University.
More Information
To learn more about this position, please contact Prof. Benjamin Risse (b.risse@uni-muenster.de).
We Are
The University of Münster (WWU; www.uni-muenster.de) is one of the largest universities in Germany (> 40.000 students), and its 15 departments cover most scientific disciplines thus providing excellent support for interdisciplinary research. The Institute for Geoinformatics (ifgi, see also uni-muenster.de/Geoinformatics/) is one of the world-leading research institutes in GI Science. Research areas covered include, amongst others, computer Vision, machine learning, geostatistics, spatial intelligence, spatial and situated interaction. WWU and ifgi are currently establishing the StadtLaborMünster, a platform for bidirectional transfer between citizens, urban stakeholders and the university. Since Münster is known as the bicycle capital of Germany, urban biking and environmental aspects are going to be prominent topics for the StadtLaborMünster. Degrees offered by ifgi include a BSc in Geoinformatics, an MSc in Geoinformatics, an MSc in Geospatial Technologies, and a PhD. In 2012, ifgi has created a structured PhD program – the Graduate School in Geoinformatics. uni-muenster.de/Geoinformatics/en/Studies/study_programs/PhD
Computer Vision and Machine Learning Systems Group is located at the Institute for Geoinformatics and associated with the Faculty of Mathematics and Computer Science. Its interdisciplinary research focuses on tracking systems involving technical aspects such as computer vision, machine learning and imaging hardware, as well as behavioral aspects.
Project Facts
Focus: Combining multi-modal drone data into a novel pipeline which explicitly addresses a variety of challenges of terrain reconstructions using machine learning and computer vision techniques.
Planned Secondments: Kuzikus African Safaris PTY; data collection and field evaluation. AVY (Netherlands); experimental evaluation using the Avy drone platform.
Principal Supervisor: Professor Benjamin Risse, University of Münster
Main hosting site: University of Münster (Germany)
More information on the DC10 – Habitat Reconstruction project
Interactive Census Monitoring: the Accurate, the Generic and the Rare
Nowadays we can detect wild animals from drone images with a high accuracy, but models generalize poorly across geographies (e.g. across national parks) and need full retraining when adding new species that would enter the parks. To tackle variations in environment and acquisition conditions, the student will focus on problems of domain adaptation and dataset shift for wild animals detection and characterization (i.e. multi-species characterization with minimal users’ input). Approaches for few shots learning (where only a few examples are present in the new domain) will also be developed for rare sights (e.g., dead elephants, poachers, meat drying racks). Finally, the thesis will study ways to extend detection to population abundance estimations.
Expected results will be:
- Animal detection models readily applicable to multiple ecosystems and wildlife parks
- Strategies to adapt them from one park to the other
- Few-shot learning models to cope with new or rare species
- Proof of concept of adaptability to population mapping across several parks across Africa
We Ask
- You have MSc in environmental engineering or computer science.
- You have experience with remote sensing, machine learning and computer vision (in particular in deep learning).
- You are proficient in Python coding.
- You are fluent in English.
- You are motivated, curious and willing to work in a highly dynamic team.
We Offer
- An opportunity to develop a scientific career in an exciting area of science.
- A unique opportunity to learn high-end techniques and approaches.
- Excellent educational conditions and competitive remuneration.
- A multi-cultural and stimulating scientific environment, in the new EPFL-Valais campus in Sion, Switzerland.
Information about a PhD at EPFL
EPFL is considered one of the best academic institutions in Europe, particularly within engineering. EPFL has several top-level environmental science, artificial intelligence and computer vision laboratories and is cutting edge in these domains. EPFL will be involved via the School of Architecture, Civil and Environmental Engineering (ENAC) and the Environmental Computational Science and Earth Observation (ECEO, eceo.epfl.ch) lab, located on the Sion campus of EPFL.
For more information about a PhD at EPFL, please see:
Project Facts
Focus: Explore the generalization strength of animal detectors based on drone imagery to increase robustness to variations in acquisition conditions and observation of rare sights, thus highlighting requirements for stronger domain shifts and enablers for population mapping.
Planned Secondments: Kuzikus African Safaris PTY; deploying the prototype. Max Planck Institute of Animal Behavior (Germany); using the system for population estimations.
Principal Supervisor: Professor Devis Tuia, EPFL Swiss Federal Institute of Technology Lausanne
Main hosting site: EPFL Swiss Federal Institute of Technology Lausanne (Switzerland), working place will be on the Sion campus of EPFL. The PhD will be awarded by EPFL (Switzerland).
More information on the DC11 – Interactive Census project
Adaptive Tracking for Detection and Identification
Are you a highly motivated researcher and excited by an interdisciplinary project on developing autonomous drone technology for wildlife conservation? Are you interested in innovative and applied research to develop effective and feasible practices to monitor wildlife populations and manage human-wildlife conflicts? Then we invite you to apply for this exciting PhD position in our team!
The PhD candidate will assemble the onboard GPU hardware required for real-time drone-based operations and train a first species detection module based on a combination of available datasets. This single frame architecture will then be extended to perform video object detection where entire frame sequences are utilized to detect key species, and the vision system will automatically generate dynamic paths, seeking suitable high-quality oblique observational positions for close-ups, improving acquisition and individual identification.
We are looking for a PhD candidate who is keen to perform state-of-the-art research on real-time onboard vision systems for wildlife conservation drones. The candidate is expected to publish the research findings in leading international academic journals, but must also communicate well across disciplines, project partners and stakeholders. The candidate will also be involved in the supervision of MSc students who perform their thesis research within the framework of the project.
We Ask
- A first-class degree (or international equivalent) in computer science or a related field;
- Excellent software development skills in one or more programming languages, e.g. C++ and Python, plus associated working methods and tools (e.g. version control, toolchains, styles and standards, or systems engineering)
- Team player;
- Good organizational and communication skills;
- Excellent command of English (C1 level).
More Information
To learn more about this position, please contact Prof. Tom Richardson (thomas.richardson@bristol.ac.uk).
We Are
The Bristol Flight Lab is the University of Bristol’s centre for multi-disciplinary aerial robotics research. This collaboration of five academic staff brings together over 40 researchers, students and support staff in the theme of aerial robotics. The lab operates numerous fixed-wing and multi-rotor drones, and has specialist rapid prototyping, avionics and logistics facilities to support operations in the field. Indoor flight tests are conducted at the Bristol Robotics Laboratory https://www.bristolroboticslab.com/ and outdoor test flights at the University’s Fenswood Farm. https://flight-lab.bristol.ac.uk/
The University of Bristol’s Visual Information Laboratory (VI-Lab) exists to undertake innovative, collaborative and interdisciplinary research resulting in world leading technology in the areas of computer vision, image and video communications, content analysis and distributed sensor systems. VI-Lab was formed in 2010 from a building a collaboration across the Departments of Computer Science and Electrical and Electronic Engineering. It now hosts some 70 researchers – one of the largest groupings of its type in the UK. https://vilab.blogs.bristol.ac.uk/
The Faculty operates a collegial, integrated and team-based culture and the staff have a very positive ‘can-do’ approach. We have an active well-being programme and a series of social events throughout the year which make it a vibrant environment in which to work.
As a leading global institution, we are keen to attract the most highly talented individuals from a diverse range of backgrounds. Further information on our commitment to equality and diversity can be found at: http://www.bris.ac.uk/jobs/diversity.html
We are committed to creating and sustaining a positive and mutually supportive working environment for our staff and an excellent teaching and learning experience for our students, where staff are equally valued and respected, and students are encouraged to thrive academically. We offer a broad range of services, activities and initiatives to enhance our staff experience of working at Bristol. For more information, please see http://www.bristol.ac.uk/positive-working/
The University of Bristol https://www.bristol.ac.uk/ is an international powerhouse of learning, discovery and enterprise. Its vision is of a university whose excellence is acknowledged locally, nationally and globally. The Sunday Times (March 2017), Daily Telegraph (October 2013) and Independent (March 2014) describe Bristol as the UK’s most desirable location.
The University is a member of the Worldwide Universities Network, a grouping of 19 research-led institutions of international standing, and of the Russell Group of universities, an association of 24 major research-intensive universities of the UK.
The University of Bristol is dedicated to academic achievement across a broad range of disciplines. It is made up of 27 schools, organised in six faculties: Arts; Biomedical Sciences; Engineering; Health Sciences; Science; Social Sciences and Law. It has approximately 23,000 students (17,000 undergraduates and 6,100 postgraduates) from around 100 countries. The Quality Assurance Agency for Higher Education, which carried out an institutional audit of the University in 2016, has confirmed that Bristol meets its expectations (the highest rating available) for management of education and the academic standards of its awards. The University currently has 40 Fellows of the Royal Society and 15 of the British Academy – a remarkable achievement for a relatively small institution.
Project Facts
Focus: Determine a suitable base architecture for onboard animal detection and identification given onboard GPU constraints and real-time requirements.
Planned Secondments: University of Münster (Germany); real-time computer vision. EPFL (Switzerland); open-set recognition solution.
Principal Supervisor: Tilo Burghardt – Senior Lecturer, University of Bristol
Academic Supervisor: Professor Thomas Richardson, University of Bristol
Main hosting site: University of Bristol (United Kingdom)
More information on the DC12 – Adaptive Tracking project
WildDrone is an MSCA Doctoral Network funded by the European Union’s Horizon Europe research and innovation funding programme under the Marie Skłodowska-Curie grant agreement no. 101071224.