Postdoctoral Position in Simulation-Based Adaptation, University of Copenhagen, Denmark

The University of Copenhagen has four campus areas. As distances in Copenhagen are relatively small, it is easy to get from one campus to the other either by bicycle or public transportation. The campus areas are integrated into the city of Copenhagen and students use the facilities available in the city, adding a lively buzz to the streets and cafés of Copenhagen.

Postdoctoral Position in Simulation-Based Adaptation: The Department of Computer Science at the University of Copenhagen is seeking a highly motivated and skilled individual for a two-year postdoctoral position, with the possibility of further extension. The successful candidate will be involved in developing cutting-edge robot automation and adaptation techniques using simulation and machine learning methods.

Postdoctoral Position in Simulation-Based Adaptation for Robotic Data Reuse

Designation: Postdoctoral Researcher

Research Area:
Simulation-Based Adaptation for Robotic Data Reuse, Digital Manufacturing, and Smart Engineering.

Location:
University of Copenhagen, Denmark

Eligibility/Qualification:

  • PhD in Computer Science, Mechanical/Electronic/Automation Engineering, or Applied Mathematics/Physics with a specialization in Artificial Intelligence/Robotics.
  • Strong foundation in robotics, machine learning, and/or dynamic simulation.
  • Proficiency in C++/Python or other programming languages for building and maintaining software packages.
  • Familiarity with robotics simulators such as Issac Sim/MuJoCo will be advantageous.

Job Description:
The successful candidate will engage in developing novel robot automation and adaptation techniques using simulation and machine learning methods. This unique opportunity focuses on two significant challenges:

  1. Creating algorithms to process previous manufacturing data of various formats and transfer robot motion to fit new task requirements and setup.
  2. Using simulation to synthesize task data, validate and refine robot motion with model-based learning/optimization.
    The role demands a strong foundation in robot learning and control, and a keen interest in applying simulation-based machine learning techniques to solve complex and practice-oriented challenges in digital manufacturing. The candidate will be expected to contribute significantly to the research objectives, demonstrating both technical expertise and collaborative skills.

How to Apply:
Interested candidates should submit the following documents electronically by clicking “APPLY NOW” at the University of Copenhagen’s website:

  • 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

Last Date for Apply:
The deadline for applications is 1st August 2024, 23:59 CEST.

This is a remarkable opportunity for a dedicated individual to work with a multidisciplinary and collaborative team at the forefront of image analysis, simulation technologies, and digital manufacturing.

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