Author: Maxime Sangnier

The Computational Neuroscience group at the University of Bremen headed by
Prof. Dr. Klaus Pawelzik offers – under the condition of job release – at
the earliest possible date a position until February 28, 2025
 
 
*Research Assistant /Postdoc in Computational Neuroscience (f/m/d)*
 
German federal pay scale E13 TV-L (100 %)
 
for the research project
 
*Efficient Implementation of Spike-by-Spike Neural Networks using
Stochastic and ApproximativeTechniques*
 
 
The overarching goal of our project is to improve the efficiency of spiking
artificial neural networks using hardware and algorithmic approximation
techniques. Specifically, the project focuses on Spike-by-Spike networks
since they offer a balance between computational requirements and
biological realism which keeps the advantages of the biological networks
while enabling a compact technical realization. To fully take advantage of
the unique features of SbS in terms of robustness and sparseness, dedicated
hardware architectures are required.
 
You would join in with numerical simulations, theoretical analyses, as well
as through the development of new ideas and approaches for boosting the
performance and capabilities of the Spike-By-Spike model. Furthermore, you
would also work on combining Spike-By-Spike networks with non spiking deep
neuronal networks into hybrid models.
 
Details can be found at
https://www.neuro.uni-bremen.de/drupal/open-position-sbs
 
 
*Requirements:*
 
Ideal candidates have a master’s or doctorate degree in Computational
Neurosciences, Physics, Computer Sciences or in related fields. They must
have a strong background in mathematics, programming (preferably in
Python/Matlab), and machine learning as well as an intense interest in
neuroscience. An optimal candidate should not be afraid of cooperating with
engineers, since this is a joint project with a focus on hardware
development. Above all, he/she must have a strong motivation, a sense for
responsibility, a distinct desire to learn, and the ability to proactively
collaborate in an international research environment. Fluency in English is
required (both written and spoken).
 
The Theoretical Neurophysics Lab offers a good working atmosphere, direct
involvement in international research and attractive facilities.
 
The university is family-friendly, diverse and sees itself as an
international university. We therefore welcome all applicants regardless of
gender, nationality, ethnic and social origin, religion/belief, disability,
age, sexual orientation and identity.
 
As the University of Bremen intends to increase the proportion of female
employees in science, women are particularly encouraged to apply. In case
of equal personal aptitudes and qualification priority will be given to
disabled persons.
 
Please explicitly address each of the specified requirements in the
application. Detailed instructions are described below. Please send your
application documents (motivation letter, CV, copy of your degree
certificates including high school, list of skills, awards, publications,
contact details of two academic reference) until December 9th, 2022 by
indicating the job id A326/22 to:
 
University of Bremen FB1
Theoretical Neurophysics lab
Secretary of Prof. Dr. Klaus Pawelzik
Mrs Agnes Janßen
Hochschulring 18, Cognium
D-28359 Bremen
Tel.: +49 421 218 62000
 
in electronic form in a summarized PDF file via e-mail:
ajanssen@neuro.uni-bremen.de.
 
 
For questions of the research project please contact:
 
Prof. Dr. Klaus Pawelzik, E-Mail: pawelzik@neuro.uni-bremen.de
 
 
See also for general information on this topic:
 
http://www.neuro.uni-bremen.de/content/open-position-sbs
 
 
*Detailed instructions for applicants*
 
Your application must comprise:
 
 
*Motivation letter*
 
Your 1-2 page essay should reply the following questions:
 
• What is your background? In which fields have you worked before and how
do you think this can be useful for the present job?
 
• What attracts you to the field of computational neuroscience?
 
• Which problem(s) in computational neuroscience are you most interested in?
 
• What is your motivation to join our project?
 
• What are your plans for your future career?
 
 
*Curriculum Vitae*
 
Send a classical tabular CV with your contact details, and all stages of
education and employment.
 
 
*List of skills, awards, publications*
 
List your skills, especially proficiency in languages (including the level
of proficiency), that you think might be useful for the job. Also list
awards you might have got and peer-reviewed papers, in case there are some.
 
 
*Contact details of two academic references*
 
One of the references should be your MSc advisor. Please contact the
references prior to listing their names so that they are not surprised if
they get contacted.
 
Your application can be in English or German, whatever language you are
more familiar with.

Basque Center for Applied Mathematics is offering a PhD position in
Developing machine learning for polymer systems in the framework of CINEMA
project to work with Jose A. Lozano. The aim of the researcher will be to
develop regression and classification machine learning methods for systems
involving missing/noisy data.
 
Contract: 36 moths
 
Applications: https://cinema-dn.eu/application/
 
Requirements:
 
· MSCA-recruiting rules are applied: not having resided in Spain for
more than 12 months in the 3 years immediately before the recruitment date,
and not having carried out their main activity (work, studies, etc.) in
Spain during this period.
 
· Having a master degree or equivalent diploma, and not having a
doctoral degree.
 
· Background in polymer materials is welcomed
 
· Excellent command of written and spoken English is a must
 
Skills: Ability for research management, dissemination, communication with
colleagues and supervisors, strong teamwork spirit, creativity and problem
solving.
 
Experience: Research experience in the academic or industrial sector will
be considered
 
More info at:
http://www.bcamath.org/en/research/job/ic2022-11-phd-on-developing-machine-learning-for-polymer-systems-cinema

Applications are invited for a full-time postdoctoral research fellow
(PDRF) and a PhD studentship in computer vision and artificial
intelligence.
 
The exciting PDRF position sets out to develop computer vision models
for UAV-based simultaneous detection and monitoring of injured
soldiers in a battlefield. You should have a PhD in the broad area of
Computer Science/Engineering and/or Applied Mathematics with
experience in computer vision, deep learning, neural networks, graph
theory, and strong computational skills. The detailed application
procedure can be found here (Deadline: 3rd January 2023):
https://jobs.edgehill.ac.uk/vacancy.aspx?ref=EHR0116-1122
 
The PhD studentship (Graduate Teaching Assistant) position is a 3-year
funded doctorate whilst gaining valuable teaching experience.
Successful candidates will work closely with researchers associated
with the recently formed Intelligent Visual Computing Research Centre.
The applicant should have solid mathematical ability and excellent
programming skills. A basic knowledge of Machine Learning, Artificial
Intelligence and Computer Vision is essential. Prior research
experiences in image/video, language, sequential data analysis and
understanding or any combination of these modalities will be a bonus.
The detailed application procedure can be found here (Deadline: 9th
January 2023): https://jobs.edgehill.ac.uk/vacancy.aspx?ref=GTA18-1122
 
The successful applicants will be part of the EPSRC (Engineering and
Physical Science Research Council) funded project, ATRACT – A
Trustworthy Robotic Autonomous system to support Casualty Triage. The
project involves a multidisciplinary team of researchers from AI
ethics, computer science and engineering working together to develop
trustworthy robotics autonomous systems for search and rescue,
ambulance emergency and other multiple casualty disaster situations.
 
Informal enquiries may be addressed to beheraa@edgehill.ac.uk
 
Best regards,
————————–
Ardhendu Behera
Professor of Computer Vision & AI
Department of Computer Science
Edge Hill University, Ormskirk, Lancashire, L39 4QP
https://computing.edgehill.ac.uk/~abehera/
T: +44 (0) 1695 65 7270