[Jobs] PhD Position in Computer Vision and Deep Learning (TU Darmstadt, Germany)
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simone....@gmail.com
Apr 5, 2024, 12:22:15 PM4/5/24
to Women in Machine Learning
The Visual Inference Lab – led by Prof. Stefan Roth, Ph.D. – at the Department of Computer Science of Technical University Darmstadt is offering a position as
Research Assistant / PhD (all genders)
starting at the next possible date. The position is initially limited to three years but can be extended by at most two more years. The position is classified according to pay group 13 of the TU Darmstadt collective agreement (TV-TU Darmstadt).
The Visual Inference Lab (www.visinf.tu-darmstadt.de) carries out leading research in various areas of computer vision with an emphasis on using and developing (deep) learning approaches and statistical methods. We develop models and algorithms, e.g., for visual scene analysis and understanding, motion estimation from videos, object recognition and tracking, image synthesis, as well as image restoration. Furthermore, we work on the foundations of deep learning in computer vision, including learning with limited supervision, explainable AI, and probabilistic deep learning. Our open and internationally oriented team has access to state-of-the-art facilities, including the fortytwo GPU supercomputer of hessian.AI, enabling outstanding research. TU Darmstadt is one of the leading technical universities in Germany and is one of Europe’s strongest institutions in artificial intelligence.
More information available here.
Application (Deadline April 17, 2024):
Your application should contain a cover letter, your curriculum vitae, as well as diplomas and transcripts (Master’s, Bachelor’s, and high school). Your cover letter should discuss your motivation and qualifications for the position. Moreover, please name at least two references, who would be willing to supply letters of recommendation. Please send electronic applications (in the form of a single PDF), referencing the code no. 147, to Prof. Stefan Roth, Ph.D. (email: applic...@visinf.tu-darmstadt.de).
By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage.
Research Assistant / PhD (all genders)
starting at the next possible date. The position is initially limited to three years but can be extended by at most two more years. The position is classified according to pay group 13 of the TU Darmstadt collective agreement (TV-TU Darmstadt).
The Visual Inference Lab (www.visinf.tu-darmstadt.de) carries out leading research in various areas of computer vision with an emphasis on using and developing (deep) learning approaches and statistical methods. We develop models and algorithms, e.g., for visual scene analysis and understanding, motion estimation from videos, object recognition and tracking, image synthesis, as well as image restoration. Furthermore, we work on the foundations of deep learning in computer vision, including learning with limited supervision, explainable AI, and probabilistic deep learning. Our open and internationally oriented team has access to state-of-the-art facilities, including the fortytwo GPU supercomputer of hessian.AI, enabling outstanding research. TU Darmstadt is one of the leading technical universities in Germany and is one of Europe’s strongest institutions in artificial intelligence.
More information available here.
Application (Deadline April 17, 2024):
Your application should contain a cover letter, your curriculum vitae, as well as diplomas and transcripts (Master’s, Bachelor’s, and high school). Your cover letter should discuss your motivation and qualifications for the position. Moreover, please name at least two references, who would be willing to supply letters of recommendation. Please send electronic applications (in the form of a single PDF), referencing the code no. 147, to Prof. Stefan Roth, Ph.D. (email: applic...@visinf.tu-darmstadt.de).
By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage.
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