[visionlist] Fully funded Ph.D. positions in Robot Learning for Visuo-Tactile Grasp and Manipulation @ RoboTac Lab : BMW Center of Invention and TU/e

[Kaboli, Mohsen]

Dear Colleagues,
We are excited to announce three fully funded Ph.D. positions in Foundation Models and Robot Learning for Grasp and Manipulation at the RoboTac Lab (Embodied Interactive Perception, Robot Learning, and Tactile Intelligence).

 ------------------------------------

Eligibility

  *   Master's degree obtained from the top international universities in Electrical Engineering, Computer Science Mathematics, Systems, and Control, or a related field.
  *   Strong mathematical background and a strong interest in AI, robotics and robot learning
  *   Extensive practical software development experience, preferably in C/C++ and Python required.
  *   Good teamwork and communication skills, and an independent and structured working style.
  *   Efficient communication skills in English

------------------------------------

How to Apply :



Required Documents



  *   CV with photo
  *   One-page cover letter (clearly indicating available start date as well as relevant qualifications, experience, and motivation)
  *   University certificates and transcripts (both BSc and MSc degrees)
  *   Contact details of up to three referees
  *   List of publications
  *   Please check our recent publications and records to get familiar with our research activities.


-------------------------------------

What awaits you?

  *   The work will be carried out at a RoboTac Lab, BMW Center of Invention, Munich, Germany.
  *   The RoboTac Research Lab is equipped with cutting-edge hardware, robotics systems, computational devices, intelligent vehicle, software, etc.
  *   Being part of the BMW Promotion Program with 170 Ph.D. Candidates and offering several outstanding soft-skill pieces of the training program
  *   Opportunity to generously attend top International Conferences in AI/ML and Robotics
  *   Collaborating with a highly specialized international teams of AI/ ML and robotics scientists and engineers.



-------------------------------------

How to send your documents



  *   All documents should be in English and one single pdf saved with your first name and family name. ( Otherwise, it will be deleted)
  *   Please send your application to: robotac at bmw.de by Dec 30th 2024.
  *   The top applicants will be invited for an oral presentation and interview.
  *   Potential Date of Start February  2025.



Regards

Mohsen

---------------------------------------



Dr.-Ing. Mohsen Kaboli

Asst. Professor of Interactive AI and Robotics

RoboTac Lab<https://research.tue.nl/en/persons/mohsen-kaboli>

PI & Head of Embodied Interactive Perception and Robot Learning Lab , TU/e, Netherlands

PI & Lead of BMW AI Robotics Research and RoboTac Lab, Germany


Email: robotac at bmw.de<mailto:robotac at bmw.de>
            m.kaboli at tue.nl<mailto:m.kaboli at tue.nl>

[TUe-logo-descriptor-line-scarlet-rgb]<http://tue.nl/>
[cid:image002.jpg at 01DB5060.64F9B310]


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20241217/52ff7c5a/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.png
Type: image/png
Size: 11991 bytes
Desc: image001.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20241217/52ff7c5a/attachment-0001.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image002.jpg
Type: image/jpeg
Size: 3844 bytes
Desc: image002.jpg
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20241217/52ff7c5a/attachment-0001.jpg>