Student assistant on deep learning of robotic manipulation, Embodied AI & Neurorobotics (ENS) Lab at SDU Mærsk Mc-Kinney Møller (MMMI) Institute

The SDU ENS lab, the MMMI Institute at the Faculty of Engineering in Odense, seeks a student assistant. We are looking for a candidate to perform the project an industrial project “A visuomotor learning and control framework for arm goal-directed manipulation by flexible tools”. The framework will be validated in a UR robot arm. Note that you are welcome to take this project as a bachelor or master graduation project


  1. Building a simulation scenario (e.g., Isaac Gym) where a UR arm is trained to manipulate flexible tools (i.e., whip) to hit moving targets.  The arm is driven by reinforcement learning and optimization algorithms that have been developed
  2. Simulation to real validation guided by visual tracking of a moving object
  3. Result dissemination (report and publication)

You should:

  1. Master UR arm control and robotic simulation
  2. Have proficiency in reinforcement learning and visual tracking algorithms
  3. Study in a relevant field, e.g., Robotics, Data Engineering, AI, or Physics 
  4. Have adequate communication skills in English speaking and writing
  5. Work independently and as part of a team 
  6. Be self-motivated, e.g., have a curious learning mentality
  7. Have a strong sense of responsibility
  8. Be enrolled as a student at SDU (Odense)

The preferred starting date is the 16th of August 2024, or after agreement. The positions are for 10 months with the possibility for extension. We expect approx. 10-12 hours per week. We understand the balance between job and your study, therefore working hours are flexible. 


For further information about the position, please contact Assoc. Prof.  Xiaofeng Xiong at email:

Important information regarding the application: 

Application deadline is fixed to the 9th August 2024.

An interview will be part of the selection process. Candidates will be shortlisted and interviewed only if receiving a reply.

Employment shall take place in accordance with the framework agreement between the Ministry of Finance and PROSA. 

Please note, the selected candidate as a student assistant must be enrolled as student at SDU.

Application must include cover letter, CV and transcript of grades. All documents in connection with the application should not contain CPR number (civil registration number) – in that case, the CPR number must be crossed out.

All attached files must be in Adobe PDF format and zipped into one attachment. If not, your application may not be considered. The attachment can contain max. 5 Mb.

We recommend that you read how to apply before you apply.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Please write in your application, that you have seen the job offer at Jobfinder.