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Ghent University IDLab advertises a Doctoral Research Assistant – Collaborative Autonomous Robotics (Ghent), focusing on collaboration and coordination techniques for autonomous robot teams. The appointment includes doctoral research, bachelor-level teaching, and departmental service.
The position requires a master’s degree in engineering, engineering technology, computer science or an equivalent, and Dutch proficiency to teach undergraduate courses.
About This Opportunity
Ghent University advertises Doctoral Research Assistant – Collaborative Autonomous Robotics (Ghent), focusing on collaboration and coordination techniques for autonomous robot teams.
At Ghent University IDLab, Department of Information Technology, this full-time research assistant appointment allocates at least half the workload to doctoral research on autonomous robots collaborating with one another. The remainder includes bachelor-level computer-science teaching and departmental service. Applicants need a relevant engineering or computing master’s degree and sufficient Dutch to teach bachelor-level courses. C++, C#, Java, Python and computer-network knowledge are beneficial, not all compulsory. It is a two-year appointment, potentially renewable twice subject to favorable evaluations, on salary scale AAP3. Documents include CV with results, motivation letter and diploma; non-EU degrees may require an equivalence certificate. This is the robotics vacancy with institutional reference 30465, distinct from the energy-efficient-foundation-model role.Academic preparation and entry profile: A master’s degree in engineering, engineering technology, computer science or an accepted equivalent; Dutch proficiency sufficient to teach undergraduate courses is mandatory. Funding and appointment conditions: Salary scale AAP3; salary amount not specified. Who This Opportunity Is Best Suited For: Based on the documented project scope, this opportunity may be particularly suited to applicants whose preparation includes A master’s degree in engineering, engineering technology, computer science or an accepted equivalent; Dutch proficiency sufficient to teach undergraduate courses is mandatory; researchers interested in working with Autonomous robotic systems, C++, C#, Java, Python. This is an editorial fit assessment, not an admissions determination. Potential Challenges / Who May Find It Less Suitable: Relevant considerations are the specialized technical breadth may require significant preparation; teaching commitments may affect how research time is organized. The exact implications depend on the stated eligibility and appointment terms. Overall Opportunity Assessment: The distinctive focus is collaboration and coordination techniques for autonomous robot teams. Applicants should weigh the verified research methods, qualifications and any stated funding or mobility conditions against their research goals.
Collaboration and coordination techniques for autonomous robot teams
Level PhD
Field Collaboration and coordination techniques for autonomous robot teams
Organization Type University
Funding & Compensation
Amount Paid
Funding Type Salary
Funding Status Paid
A master’s degree in engineering, engineering technology, computer science or an accepted equivalent; Dutch proficiency sufficient to teach undergraduate courses is mandatory.