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.
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
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
Knowledge in the field of GPU programming (OpenCL, CUDA)
Knowledge in using Deep Learning Frameworks (e.g., TensorFlow, PyTorch)
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
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 (email@example.com).
Research Assistant in Machine Learning based Sensor Fusion (Fixed Term)
Applications are invited for a Research Assistant to join the Prorok Lab in
the Department of Computer Science and Technology, at the University of