The Department of Computer Science at the University of Copenhagen is excited to announce a two-year postdoctoral position in Simulation-based Adaptation for Robotic Data Reuse, with the possibility for further extension. This unique opportunity involves developing cutting-edge robot automation and adaptation techniques using simulation and machine learning methods.
To be eligible for the Postdoc in Simulation-based Adaptation for Robotic Data Reuse at the University of Copenhagen, applicants must hold a PhD in a relevant field such as Computer Science, Mechanical/Electronic/Automation Engineering, or Applied Mathematics/Physics with a specialty in Artificial Intelligence/Robotics. Candidates should have a strong foundation in robotics, machine learning, and dynamic simulation, with a proven track record of relevant publications.
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( votes)Established in 1479, the University of Copenhagen is one of Europe’s oldest and most prestigious universities. It consistently ranks among the top institutions worldwide, known for its high standards in research and teaching. With a diverse academic environment, the university fosters innovation and critical thinking across various fields. Its strong emphasis on interdisciplinary collaboration and international partnerships attracts students and researchers from around the globe.
Application Deadline: 1 August 2024
Brief Description
- University or Organization: University of Copenhagen
- Department: Department of Computer Science
- Course Level: Postdoctoral
- Award: Two-year postdoctoral position with the possibility for further extension
- Access Mode: Online
- Number of Awards: NA
- Nationality: Open to all nationalities
- The award can be taken in: Denmark
Eligibility
- Eligible Countries: Open to applicants from all countries
- Acceptable Course or Subjects: The scholarship will be awarded in any subject offered by the University of Copenhagen within the scope of the Department of Computer Science.
- Admissible Criteria: To be eligible, the applicants must meet all the following criteria:
- PhD in a relevant field such as Computer Science, Mechanical/Electronic/Automation Engineering, or Applied Mathematics/Physics with a specialty in Artificial Intelligence/Robotics.
- Strong foundation in robotics, machine learning, and/or dynamic simulation.
- Experience in machine learning and robotic systems, particularly manipulation, with a track record of relevant publications.
- Proficiency in C++/Python or other programming languages for building and maintaining software packages.
- Familiarity with robotics simulators such as Issac Sim/MuJoCo.
How to Apply
- The application, in English, must be submitted electronically by clicking the “APPLY NOW” link provided on the official University of Copenhagen job portal.
- Please include:
- Curriculum vitae
- Diplomas (Master, Bachelor, and PhD degree or equivalent)
- Research plan – description of current and future research plans
- Complete publication list
- Separate reprints of 3 particularly relevant papers
Benefits
- The position offers a competitive salary according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
- The successful candidate will benefit from mentorship opportunities, networking, and resources provided by the University of Copenhagen.
- Access to a highly collaborative environment with regular meetings, workshops, and interactions with leading researchers and industry professionals.
- Potential for significant contributions to the field of practical robot learning and smart engineering, with impactful research outputs and real-world applications.