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POSITION: Research Associate in the field of Artificial Intelligence
and Machine Learning<br>
LOCATION: Hochschule Bielefeld – University of Applied Sciences and
Arts (HSBI), Bielefeld, Germany<br>
<br>
Full-time, to start immediately<br>
Fixed-term until 30/06/2029<br>
Salary grade: E13 TV-L<br>
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<br>
With more than 10,000 students, Hochschule Bielefeld – University of
Applied Sciences and Arts (HSBI) stands for highest standards in
teaching, research and knowledge transfer. Its six faculties Design
and Art, Minden Campus, Engineering and Mathematics, Social
Sciences, Bielefeld School of Business and Health work in an
interdisciplinary, research-based and closely linked manner.
Regional and international cooperation as well as practised
diversity and sustainability shape the work at the campuses in
Bielefeld, Minden and Gütersloh.<br>
<br>
Within the framework of the research project "FH-Kooperativ 2-2023:
Cognitive Edge Computing for Multi-Sensor Applications with Sparse
Data and High Latency Requirements" (Edge4SparseML), funded by the
Federal Ministry of Education and Research, the Faculty of
Engineering and Mathematics seeks to fill two positions as<br>
<br>
*** Research Associate in the field of Artificial Intelligence (AI)
and Machine Learning (ML) ***<br>
<br>
to start immediately. As part of the employment, candidates will be
able to do a (cooperative) doctorate.<br>
<br>
The research project's aim is to develop a method toolbox to
efficiently run AI/ML procedures on resource-limited hardware for
real-time applications. Based on the toolbox, it intends to
investigate automated methods to explore the design space of
suitable Al/hardware combinations in terms of a hardware/AI
co-design. Particular emphasis lies on industrial applications with
high latency requirements, considering both the complete chain as a
linear process from modelling to inference and the repercussions of
the choice of possible hardware configurations on the original
modelling.<br>
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TASKS AND RESPONSIBILITIES<br>
<br>
Scientific activities within the framework of the project:<br>
- Project coordination, public relations, science marketing<br>
- Development of concept and requirements analyses in the domain of
surface vision, definition of assessment criteria for hardware and
software<br>
- Preparation of AI processes for multi-sensor applications with
high latency requirements in surface vision<br>
- Demonstrator development and validation<br>
- Development of process models<br>
- Knowledge transfer/publications<br>
- Instruction of student and research assistants<br>
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REQUIREMENTS<br>
<br>
General:<br>
- Completed university degree (Master of Science at a university or
university of applied sciences) in the field of engineering,
computer science, data science or a comparable discipline<br>
- Experience in writing academic texts and presenting research
results<br>
<br>
Position 1:<br>
- Expertise and experience in cognitive edge computing, embedded
systems and design space exploration<br>
- Research focus: Hardware/Al co-design and automated design space
exploration of embedded systems<br>
<br>
Position 2:<br>
- Expertise and experience in AI/ML procedures, data science, big
data<br>
- Research focus: Evaluation of tailored ML procedures for
industrial applications with high resource efficiency and latency
requirements<br>
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WHAT WE OFFER<br>
<br>
- Work in an interdisciplinary, communicative and motivated
environment that deals with future topics<br>
- A high degree of creative freedom and leeway within the scope of
the project tasks<br>
- Support with open-access publications and research data management<br>
- Opportunities for further qualification<br>
- Diverse partnerships and research cooperations in one of the most
economically powerful regions in Germany<br>
- Work at a university that is open to the world and strongly
oriented towards sustainability, diversity and internationality<br>
- Mobile work in coordination with the specialist supervisor<br>
- Ideas for individual career planning within and outside academia<br>
- Work-life balance, supported by the university daycare facility
and holiday care for schoolchildren<br>
- Health management activities, e.g. participation in the university
sports programme, health campaigns and vaccination programmes<br>
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INTERESTED?<br>
<br>
We look forward to receiving your complete application stating the
reference number 03428 by 26 November 2024 online only:<br>
<a class="moz-txt-link-freetext" href="https://app.hsbi.de/qisserver/rds?state=change&type=2&moduleParameter=bwmSearchResult&nextdir=sva/bwmsas&next=DetailView.vm&sas.sas_serial=1183&sqlmode=update&subdir=sva/bwm&comingfromselection=y&menuid=&P_anzahl=100&P_start=0&topitem=qissvaCareer&subitem=svabwmstellenuebersicht&termdisplayonly=y&view=1&asi=">https://app.hsbi.de/qisserver/rds?state=change&type=2&moduleParameter=bwmSearchResult&nextdir=sva/bwmsas&next=DetailView.vm&sas.sas_serial=1183&sqlmode=update&subdir=sva/bwm&comingfromselection=y&menuid=&P_anzahl=100&P_start=0&topitem=qissvaCareer&subitem=svabwmstellenuebersicht&termdisplayonly=y&view=1&asi=</a><br>
<br>
If you have any questions relating to the content of the position we
offer, please contact:<br>
<br>
Prof. Dr. Thorsten Jungeblut<br>
<a class="moz-txt-link-abbreviated" href="mailto:thorsten.jungeblut@hsbi.de">thorsten.jungeblut@hsbi.de</a><br>
<br>
or<br>
<br>
Prof. Dr. Wolfram Schenck<br>
<a class="moz-txt-link-abbreviated" href="mailto:wolfram.schenck@hsbi.de">wolfram.schenck@hsbi.de</a><br>
<br>
In addition, the faculty's Gender and Diversity Officer Dr. Elke
Koppenrade is available to answer your questions at all times at
<a class="moz-txt-link-abbreviated" href="mailto:elke.koppenrade@hsbi.de">elke.koppenrade@hsbi.de</a>.<br>
<br>
Please find further information on the application procedure and on
HSBI as an employer at at this link: <a class="moz-txt-link-freetext" href="https://www.hsbi.de/karriere">https://www.hsbi.de/karriere</a><br>
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<br>
We expressly welcome applications submitted by women. Applications
from women will be given preference in case of equal suitability,
skills and professional performance, unless reasons concerning the
person of another applicant predominate. Hochschule Bielefeld –
University of Applied Sciences and Arts (HSBI) has received multiple
awards for its successes in promoting equal opportunities and has
been certified as a family-friendly university. Women are
particularly welcome to apply, especially in the field of research.
HSBI processes applications in compliance with the Equal
Opportunities Act of the State of North-Rhine Westphalia.<br>
<br>
Persons with severe disabilities are expressly encouraged to apply,
too. Subject to other applicable laws, severely disabled applicants
with equivalent qualifications will be given preferential
consideration.<br>
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