University of Bern

1 PhD Position in Machine Learning and Computer Vision

2023-02-10
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Positions: We have an opening for 1 PhD position in the areas of machine learning and computer vision. The position is on motion estimation (such as optical flow and structure from motion) via deep learning. Research will be performed in the Computer Vision Group at the University of Bern. The position is immediately available and will be filled as soon as a suitable candidate is found. 

Your profile: We are looking for a highly motivated candidate, who is eager to get involved in cutting edge, creative research. You hold a Master of Science in Computer Science, Mathematics or Engineering, with a solid background in machine learning and computer vision. You have excellent skills in applied mathematics, in probability theory, and a programming language (e.g., Python, C/C++). You have a solid background in Deep Learning and you are already a proficient programmer in one of the main Deep Learning libraries (e.g., TensorFlow, PyTorch). We expect fluent communication skills in English.

What we offer: You will be part of a team of academic researchers working on state of the art technologies for machine learning and computer vision. You will have the chance to contribute to and participate in the international research community. We are located in Bern in the core of Switzerland, one of the cities with the highest quality of life worldwide. You will receive a very competitive salary and be given financial support to attend training courses and international conferences.

Application and further information:

Applications must be submitted to Prof Paolo Favaro, through the submission website link http://cvg.unibe.ch/vacancies/

Applications submitted directly via email will not be considered.

Informatie over de vacature

Functienaam
1 PhD Position in Machine Learning and Computer Vision
Werkgever
Locatie
Neubrückstrasse 10 Bern, Zwitserland
Gepubliceerd
2023-01-10
Uiterste sollicitatiedatum
2023-02-10 23:59:59
Soort functie
PhD
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Over de werkgever

The University which dates back to the XVIth century, has a comprehensive offering including 8 faculties, some 160 institutes and 8 Graduate Schools.

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