Postdoctoral Research Assistant in Learning Algorithms for Neurmorphic Computing, Stralsund, Germany
In the lab of Prof Gruening and within the EU-funded research project "The Human Brain Project" we are offering a 24months fixed-term postdoctoral post, available immediately. The formal job ad can be found at https://www.hochschule-stralsund.de/host/aktuelles/stellenangebote/ (in German only), but feel free to contact me informally in person and in English at <mailto:andre.gruening@hochschule-stralsund.de>. Welcome to the University of Applied Sciences Stralsund! With our campus on the shores of the Baltic Sea, we deliver industrial related studies with excellent job prospects to about 2300 students. Life on our campus is characterised by excellent facilities for both teaching and research and flat hierarchies. The historical centre of the UNESCO world heritage town of Stralsund is within easy reach on foot; maritime water sports, nature and the island of Rugia at our doorstep stand for the highest quality of life. As a certified family-friendly institution we embrace modern life and a proper work-life balance. We are looking forward to meeting people who are keen to strengthen our research team and are advertising the following fixed-term post, subject to confirmation of funding: **Research Assistant (f/m/d) in the EU-funded research project “The Human Brain Project”** The post is available immediately for 24 months (full-time) for a postdoctoral candidate. You will be working in the area of artificial intelligence based on neuromorphic hardware. Neuromorphic hardware is a modern and active area of research with the aim to design devices for artificial intelligence that utilise the spike-based operation of biological nervous systems. The energy consumption of such systems for example promises to be an order of magnitude less than classical AI systems. Neuromorphic systems are being developed within academic research as well as in industry. The work will be carried out in close cooperation with research groups across Europe that are partners in the Human Brain Project, for example groups at the Universities of Heidelberg, Bern or Manchester. **Your job responsibilities include the following:** - Development, implementation and evaluation of learning rules for artificial spiking neural networks with the aim to realise deep learning on neuromorphic hardware. - Contribution to and cooperation within the international framework of the EU/H2020 Flagship project “The Human Brain Project”, see <https://www.humanbrainproject.eu/> in the area described above. - Participation in project management and reporting. **We expect from you:** - A PhD in a relevant area, for example computer science, mathematics, physics, cognitive science and neuroscience or engineering. - Programming experience, for example Python, C, C++. Experience with embedded systems is a plus. - Experience within the area of artificial neural networks. - Keen interest to familiarise yourself with the neuroscientific foundations of the project. - Experience with Unix-like operating systems and tool chains. - Experience in the write up of scientific reports and publications. Experience with LaTeX is a plus. - Experience with presenting research results. - Solid mathematical expertise. - A conscientious, independent and self-motivated attitude towards work. **We offer:** - A diverse, interesting and challenging job at an innovative, modern and family friendly institution in the lively world-heritage and Hanseatic town of Stralsund. - A work contract subject to the collective labour agreement of the public service of the German federal states (TV-L). - Remuneration up to pay grade 13 subject to personal and collective qualifying conditions. - 40 hrs/week; part-time and flexible work is possible. The University of Applied Science Stralsund is keen to increase the proportion of female employees in all areas where they are underrepresented. We therefore expressly invite qualified women to apply. As a certified family-friendly institution we support actions to reconcile family and job. Childcare can be arranged for a potential future interview. At an equal level of professional aptitude, applicants with recognised disabilities or equivalent (please provide evidence) will be preferred. For details of the job description, please contact Prof André Grüning (E-Mail: <mailto:andre.gruening@hochschule-stralsund.de>). According to §68 Abs 3 PersVG M-V, the Employee Committee (Personalrat) gets involved into HR matters for research staff only on the candidate’s request. If desired, please include such request in free form within your application documents. Please send your job application with all relevant documents in a single pdf file to <mailto:bewerbungpersonal@hochschule-stralsund.de> or by mail to Hochschule Stralsund Vertrauliche Personalangelegenheit Dezernat Personal, Haushalt und Controlling Zur Schwedenschanze 15 18435 Stralsund on or before the **deadline of 15.11.2020**. Thereafter applications will be reviewed until the post is filled. The protection of your personal data is very important to us. We will therefore collect, process and utilise any data arising in the application process only in line with the applicable data protection regulations. As application documents cannot be returned, please submit copies only. The University of Applied Sciences Stralsund does not cover any application expenses, including those arising for a potential interview. -- Prof. Dr. André Grüning -- Mathematik und Künstliche Intelligenz Fakultät Elektrotechnik und Informatik Hochschule Stralsund -- Mathematics and Computational Intelligence Faculty of Electrical Engineering and Computer Science University of Applied Sciences Stralsund -- 18435 Stralsund Deutschland/Germany
participants (1)
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André Grüning