Connectionists: [JOBS] Research Associate in the field of Artificial Intelligence and Machine Learning (Bielefeld, Germany)

[Wolfram Schenck]

POSITION: Research Associate in the field of Artificial Intelligence and 
Machine Learning
LOCATION: Hochschule Bielefeld – University of Applied Sciences and Arts 
(HSBI), Bielefeld, Germany

Full-time, to start immediately
Fixed-term until 30/06/2029
Salary grade: E13 TV-L

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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.

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

*** Research Associate in the field of Artificial Intelligence (AI) and 
Machine Learning (ML) ***

to start immediately. As part of the employment, candidates will be able 
to do a (cooperative) doctorate.

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.

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TASKS AND RESPONSIBILITIES

Scientific activities within the framework of the project:
- Project coordination, public relations, science marketing
- Development of concept and requirements analyses in the domain of 
surface vision, definition of assessment criteria for hardware and software
- Preparation of AI processes for multi-sensor applications with high 
latency requirements in surface vision
- Demonstrator development and validation
- Development of process models
- Knowledge transfer/publications
- Instruction of student and research assistants

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REQUIREMENTS

General:
- 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
- Experience in writing academic texts and presenting research results

Position 1:
- Expertise and experience in cognitive edge computing, embedded systems 
and design space exploration
- Research focus: Hardware/Al co-design and automated design space 
exploration of embedded systems

Position 2:
- Expertise and experience in AI/ML procedures, data science, big data
- Research focus: Evaluation of tailored ML procedures for industrial 
applications with high resource efficiency and latency requirements

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WHAT WE OFFER

- Work in an interdisciplinary, communicative and motivated environment 
that deals with future topics
- A high degree of creative freedom and leeway within the scope of the 
project tasks
- Support with open-access publications and research data management
- Opportunities for further qualification
- Diverse partnerships and research cooperations in one of the most 
economically powerful regions in Germany
- Work at a university that is open to the world and strongly oriented 
towards sustainability, diversity and internationality
- Mobile work in coordination with the specialist supervisor
- Ideas for individual career planning within and outside academia
- Work-life balance, supported by the university daycare facility and 
holiday care for schoolchildren
- Health management activities, e.g. participation in the university 
sports programme, health campaigns and vaccination programmes

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INTERESTED?

We look forward to receiving your complete application stating the 
reference number 03428 by 26 November 2024 online only:
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=

If you have any questions relating to the content of the position we 
offer, please contact:

Prof. Dr. Thorsten Jungeblut
thorsten.jungeblut at hsbi.de

or

Prof. Dr. Wolfram Schenck
wolfram.schenck at hsbi.de

In addition, the faculty's Gender and Diversity Officer Dr. Elke 
Koppenrade is available to answer your questions at all times at 
elke.koppenrade at hsbi.de.

Please find further information on the application procedure and on HSBI 
as an employer at at this link: https://www.hsbi.de/karriere

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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.

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.
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