Institute of Computer Science

University of Osnabrueck

Germany

July 2, 2021

Description

The Computer Engineering research group of the Institute of Computer Science invites applications for a

Research Assistant (m/f/d)

(Salary level E13 TV-L, 100%)

The starting date for this position is 1st of October 2021. The contract is given for 3 years.

Your Duties:

  • Research in the area of adaptive heterogeneous architectures for machine learning in embedded systems
  • Teaching and support in the supervision of bachelor and master theses
  • Participation in the EU Horizon 2020 project "Very Efficient Deep Learning in IoT" (VEDLIoT). In this interdisciplinary project, Osnabrück University and its European partners are exploring new concepts to collaboratively solve complex deep learning applications on distributed IoT devices.
  • Requirements:

  • an above-average academic degree (Master, Diploma) in a relevant subject (e.g., Computer Science, Electrical Engineering or Physics)
  • in-depth knowledge in at least one of the areas of microelectronics, embedded systems, FPGA development, machine learning
  • good programming skills (C, C++, Python) and good knowledge of hardware description languages (e.g., VHDL, Verilog) or high-level synthesis
  • very good knowledge of German and English, spoken and written
  • independent, responsible and team-oriented working style
  • Additional Qualifications:

  • Knowledge in the field of GPU programming (OpenCL, CUDA)
  • Knowledge in using Deep Learning Frameworks (e.g., TensorFlow, PyTorch)
  • We Offer:

  • a demanding and exciting position with appreciative cooperation
  • continuous scientific supervision
  • an excellent working environment and flexible working hours
  • a very well-equipped technical infrastructure
  • The position is available on a full-time or part-time basis.

    Osnabrück University is a family-friendly university and is committed to helping working/studying parents balance their family and working lives.

    Osnabrück University seeks to guarantee equality of opportunity for women and men and strives to correct any gender imbalance in its schools and departments.

    If two candidates are equally qualified, preference will be given to the candidate with disability status.

    Applications with the usual documentation should be submitted by e-mail in a single PDF-file to Prof. Dr.-Ing. Mario Porrmann (mario.porrmann@uni- osnabrueck.de) no later than July 2nd, 2021.

    Further information regarding this vacancy can be obtained from Prof. Dr.-Ing. Mario Porrmann (mario.porrmann@uni-osnabrueck.de).

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