新万博体育下载_万博体育app【投注官网】

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Open Positions

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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Your tasks:

  • Scientific work and research in the field of machine learning and computer?vision

  • publishing and presenting research results

  • Participation in grant applications
  • Teaching according to LVVO (currently 5 LVS) such as preparation and implementation of lecture-accompanying exercises, practicals and seminars
  • Betreuung von Abschlussarbeiten im Bachelor- und Masterstudium
  • Participation in the regular organization of the chair
  • Targeted self-qualification with the goal of obtaining a doctorate

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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 新万博体育下载_万博体育app【投注官网】 of Augsburg is committed to increasing the proportion of female employees and explicitly encourages women to apply. The 新万博体育下载_万博体育app【投注官网】 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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