拉斯维加斯赌城

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Chair for Machine Learning & Computer Vision

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Open Positions for PhD students

The Faculty of Applied Computer Science, Chair of Machine Learning and Vision (Prof. Dr. Rainer Lienhart), invites applications for a

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research assistant position?

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to be filled as soon as possible.

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The position is full-time (regular working hours) and is limited to a term of 1 + 3 years (1 year for topic selection for the doctoral dissertation, 3 years for the doctoral dissertation upon successful completion of the first year).

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Our research focuses on machine learning and vision in all its aspects.

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We expect from you:
  • An above-average academic degree (master’s or comparable) in Computer Science, Electrical Engineering, Mathematics, Physics, Data Science, or related fields,
  • Passion for one of the research areas of the chair (e.g., Computer Vision, 3D Vision, Machine Learning, Physics-informed Networks, 3D Human Pose and Mesh Estimation, Spatio-Temporal Prediction) and enthusiasm and perseverance to research in this area,
  • Ideally, experience in the areas of computer vision and machine learning from your studies,
  • Good programming skills in a common high-level language (e.g., Python),
  • Ideally, practical experience with tools for machine learning such as PyTorch, JAX, TensorFlow, or Sci-Kit Learn,
  • A high degree of self-organization and initiative,
  • Good German and English language skills,
  • Active support of our teaching offer,
  • Good communication and teamwork skills.
The University of Augsburg is committed to increasing the proportion of female employees and explicitly encourages women to apply. The University of Augsburg is particularly dedicated to supporting work-life balance. For further information, please contact the faculty's women's representative.
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Severely disabled applicants (m/f/d) will be given preference if they are otherwise essentially equally qualified, capable and professionally competent.

Apply by submitting your CV and current academic transcript in a single PDF document via email no later than

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March 31, 2026

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to? Prof. Dr. Rainer Lienhart : Rainer.Lienhart@uni-a.de

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