Open Positions

4DQV focuses on mathematically-principled, physics-based and modern machine learning methods. We investigate applications of deep learning and other techniques in computer vision and graphics. We invite motivated students with a strong background in mathematics, physics and machine learning to apply. As we are an interdisciplinary group, mathematicians and physicists are warmly encouraged to apply.

How to apply (PhD position, internship/remote internship, a working student job)

Please send your application to Vladislav Golyanik (golyanik@mpi-inf.mpg.de). Please be specific and factual.
The application should include:

• A cover letter describing your current or latest accomplished study programme and university, your estimation of the relevant background and experience and what type of position you are interested in
• Research statement, i.e., at most a page-long description of your research interests and plans, including why you are interested in working at/with 4DQV
• Your up-to-date CV
• Latest academic transcripts of records
• Optionally: reference letters (free format) and a list of publications

Requirements:

• Solid knowledge of mathematics (linear algebra, calculus and optimisation)
• Relevant experience or courses in computer vision, computer graphics, machine learning and quantum computing (depending on your interests)
• Strong programming skills
• Motivation to work on one of the topics in the scope of 4DQV and improve upon the existing state of the art
• Advanced scientific writing skills

What you can expect:

• A lot of fun working on challenging projects targeted at improving upon the current state of the art
• "Quality of work and fun first" attitude
• A collaborative, open and supportive team
• Regular encounters and exchange with the entire group and department
• Regular (usually, weekly) meetings with the supervisor