Category: Thèse

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

The ETH AI Center promotes trustworthy, accessible, and inclusive AI
systems. For this goal, we bring together interdisciplinary research teams
of AI foundations, applications, and implications across all departments
and look at AI from many different angles like mathematical principles,
medicine, architecture, robotics, and social sciences/future of work. We
enable research of high quality, industry innovation, and AI
entrepreneurship.


The ETH AI Center faculty comprises over 110 professorships representing
all sixteen departments of ETH Zurich and five external research groups
(from the University of Zurich and the University of St.Gallen). The ETH AI
Center Fellowship program is one of Europe’s premier PhD programs focused
on advancing interdisciplinary AI research. This can be inside AI
foundations or between AI foundations and application areas. Fellows work
with two excellent PIs who are from different fields and carry equal
weights in the supervision.


*Job description*

Within the doctoral fellowship program, you will conduct research that
impacts the future of AI. You will be working on your project (that you
will propose) and continuously have the opportunity to exchange with other
teams and professorships, participate at faculty retreats, symposia,
summits etc. Fellows have their primary office at the ETH AI Center and
enjoy excellent employment conditions. The centre offers plenty of
opportunities to strengthen your career path through an optional
entrepreneurial or industry track that provides you with valuable hands-on
experience to turn your research into practical impact.


*Your profile*

– you are expected to have completed or be close to completing a
Master’s degree in computer science, machine learning, statistics, physics,
engineering, applied mathematics, or other relevant fields or are close to
completion.
– you have an excellent track record and must meet the general admission
requirements for a doctorate at ETH Zurich (available at
https://www.ethz.ch/en/doctorate.html).
– your level of English allows you to discuss your topics with your
colleagues and report your findings in writing.
– you look forward to working with an interdisciplinary team that longs
to find solutions together.


*We offer*

We offer 5 – 8 doctoral positions and the occupation normally runs for
three years. For Fellows with good progress, it can be extended for a
maximum of one year to complete the doctoral thesis (decision to be taken
by the ETH AI Center Doctoral Selection Committee, without additional
interviews). Starting date is flexible.

– Transparent salary: CHF 70,300 in the first year, CHF 75,300 in the
second year, and CHF 80,320 in the third year. The advancements are
automatic.
– Co-mentorship by two excellent PIs from different fields
– training and continuing education activities and language courses
– services and offerings to support work and family life


*How to apply*

The deadline for applications is November 30, 2022. Please note that we
exclusively accept applications submitted through our online application
portal. Applications via LinkedIn will not be considered. Learn more and
apply: https://ai.ethz.ch/apply


*We value diversity*

In line with our values, ETH Zurich encourages an inclusive culture. We
promote equality of opportunity, value diversity and nurture a working and
learning environment in which the rights and dignity of all our staff and
students are respected. Visit our Equal Opportunities and Diversity website
to find out how we ensure a fair and open environment that allows everyone
to grow and flourish.

PhD and Postdoctoral positions are open in computational neurosciences
 at the University of Lyon1, in the Stem and Brain Research Institute
(https://sbri.fr/).  The project aims at understanding the cellular
and circuit mechanisms responsible for cognitive functions, combining
computational and theoretical aspects of neural modeling as well as
analyses of electrophysiological data. Further details at
https://euraxess.ec.europa.eu/jobs/865006. The positions are available
starting immediately.
Candidates should send their CV and a brief cover letter to Matteo di
Volo: matteo.divolo@univ.lyon1.fr