Connectionists: [JOBS] Post Doc for Sustainable, Reliable and Robust AI throughout the Life Cycle in the Context of Condition Monitoring

[Wolfram Schenck]

POSITION: Post Doc for Sustainable, Reliable and Robust AI throughout 
the Life Cycle in the Context of Condition Monitoring
LOCATION: Bielefeld Campus | Aerzen, Germany

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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.

As part of the **“Career at BI”** project, in cooperation with **Lenze 
SE**, the Faculty of Engineering and Mathematics seeks to fill a tandem 
position as

*** Post Doc for Sustainable, Reliable and Robust AI throughout the Life 
Cycle in the Context of Condition Monitoring ***

to start immediately. Employment at HSBI will be as a lecturer for 
special assignments with the aim of enhancing your profile and 
qualifying for professorship at a university of applied sciences. As 
part of the employment, you will gain practical professional experience 
in the university context and get to know the diverse tasks of 
university routines. Accompanied by your mentor, you will add to your 
teaching and research experience, take part in qualification offers and 
thus enhance your profile for appointability as a professor at a 
university of applied sciences.

As part of your employment at Lenze SE, you will gain practical 
experience outside HSBI. You will be part of an interdisciplinary team 
in pre-development/corporate research and develop AI-supported solutions 
for condition monitoring of machines and processes. In particular, the 
aim is to ensure that these solutions are robust, practical and suitable 
for long-term use. Using methods such as transfer learning, domain 
adaptation, drift detection and (data and knowledge-driven) hybrid 
modelling, you will design and implement workflows for machine learning 
with which this aim can be achieved.

To collect data and validate the developed procedures, you will work on 
real machines and processes.

As part of your employment with HSBI, you will be assigned to the 
cooperation partner for 10 hours per week. The employment will be 74.9% 
with HSBI and 25.1% with Lenze SE, with a majority of working hours 
spent at one of the locations in Bielefeld or – preferably – Aerzen. By 
agreement and depending on project progress, flexible work-on-the-move 
periods will be possible. Teaching can take place in compact courses or 
in hybrid format with regard to the project.

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Tasks and responsibilities:

Bielefeld Campus:
- Teaching
   ➜ Preparing and conducting courses amounting to 4 to 6 weekly hours 
per semester at the Faculty of Engineering and Mathematics
   ➜ Providing students with support
   ➜ Taking written and oral examinations
   ➜ Supervising term papers and final theses
- Research
   ➜ Independently conducting research in the subject area defined by 
the project
   ➜ Formulating new research questions in this area and developing an 
independent research profile
   ➜ Presenting research findings at academic conferences and as 
articles in scientific journals
   ➜ Contributing to the procurement of second-party and third-party funds

  Lenze SE:
- Research and development in the field of AI-supported condition 
monitoring with a focus on sustainable, reliable and robust solutions 
that address the entire life cycle of AI applications
- Implementation of the developed procedures on demonstrators and 
machines in production
- Software development with a focus on AI and automation technology

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Requirements:
- Relevant university degree (Master of Science/Engineering or Diplom) 
in Computer Science, Applied Mathematics, Electrical Engineering, 
Mechatronics or a related discipline
- Doctorate in one of the areas mentioned above related to machine learning
- Advanced programming skills in Python and/or Matlab and common AI 
toolboxes
- Very good knowledge of English
- First experience in publishing scientific research findings in 
journals and at conferences
- Communication skills, ability to work in a team and independent way of 
working

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The ideal candidate should also bring:
- First experience in planning and conducting courses
- Basic knowledge of drive and automation technology
- Willingness to participate in further training
- Experience in project management
- Active contribution to HSBI’s self-administration
- Basic knowledge of German

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Benefits on Bielefeld Campus:
- Depending on individual qualification and tasks, remuneration up to 
salary group E 14 TV-L (collective agreement of the federal state)
- An opportunity for personal development preparing you for the next 
step in your career
- Developing your competence in didactics and teaching
- Research advice (F.I.TT. team and research managers of the faculties) 
for the development, submission and implementation of third-party 
applications and business projects
- Support with open-access publications and research data management
- Possibility to work on the move (by agreement with your supervisor)
- Participation in continuing education offers
- A variety of tasks at the interface between theory and practice
- Supplementary pension provision
- Extensive IT infrastructure
- Work-life balance, supported by the university day-care facility and 
holiday care for schoolchildren
- Good accessibility by public transport
- Six faculties working together in interdisciplinary teams
- 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


At Lenze SE:
- Working at Lenze: 
https://www.lenze.com/en-de/company/careers/working-at-lenze

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Interested?
We look forward to receiving your complete application stating the 
reference number 03327 by 5 December 2023 online only: 
https://app.hsbi.de/qisserver/rds?state=change&type=2&moduleParameter=bwmSearchResult&nextdir=sva/bwmsas&next=DetailView.vm&sas.sas_serial=1049&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. Wolfram Schenck**
wolfram.schenck[AT]hsbi.de

or

**Dr. Heiko Stichweh**
heiko.stichweh[AT]lenze.com

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.

Candidates are required to make sure that their fixed-term employment 
does not exceed the limits prescribed by the 
Wissenschaftszeitvertragsgesetz due to previous employments.

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 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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