Connectionists: Postdoctoral Research Assistant in Learning Algorithms for Neurmorphic Computing

[André Grüning]

Postdoctoral Research Assistant in Learning Algorithms for
Neurmorphic Computing 

Andre Gruning, University of Applied Sciences Stralsund

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 immediatly.

‍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 at 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 at 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 at 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 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