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.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.
Established in 1479, Københavns Universitet (University of Copenhagen) is a non-profit public higher education institution located in the urban setting of the large city of Copenhagen (population range of 1,000,000-5,000,000 inhabitants), Capital Region of Denmark. Officially accredited and/or recognized by the Uddannelses- og Forskningsministeriet (Ministry of Higher Education and Science, Denmark), Københavns Universitet (KU) is a very large (uniRank enrollment range: 35,000-39,999 students) coeducational higher education institution. Københavns Universitet (KU) offers courses and programs leading to officially recognized higher education degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 540 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International applicants are eligible to apply for enrollment.