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<tt>POSITION: Research Associate in the field Acceptance of AI in
Health Applications (SAIL subproject A.1: Resistance to
Intelligent Technical Systems (ITS) in Healthcare)<br>
LOCATION: Bielefeld University of Applied Sciences, Bielefeld,
Germany<br>
<br>
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<br>
With more than 10,000 students, Bielefeld University of Applied
Sciences is the largest university of applied sciences in East
Westphalia-Lippe (OWL). Based in Bielefeld, Minden and Gütersloh,
it has an excellent network not only in the OWL region, but also
nationally and internationally through diverse contacts,
partnerships and cooperations in science, economy, politics and
culture. The Faculties of Design, Minden Campus, Engineering and
Mathematics, Social Sciences, Business and Health strive for high
quality in teaching and research.<br>
<br>
Within the framework of the funding announcement “Networks 2021”
(Netzwerke 2021) by the Ministry of Culture and Science of the
State of North Rhine-Westphalia (MKW NRW) for the sponsored
project “SustAInable Life-cycle of Intelligent Socio-Technical
Systems” (SAIL), the Faculty of Engineering and Mathematics seeks
to employ a<br>
<br>
*** Research Associate in the field Acceptance of AI in Health
Applications (SAIL subproject A.1: Resistance to Intelligent
Technical Systems (ITS) in Healthcare) *** <br>
<br>
to start immediately. The full-time position is fixed-term until
31 July 2026. Depending on individual qualification and tasks,
remuneration will be up to salary group 13 TV-L (collective
agreement of the federal state.) A cooperative doctorate can be
pursued as part of the employment. Your workplace will be on
Bielefeld Campus.<br>
<br>
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Current systems that contain AI technology are primarily targeted
at the introductory phase, a core component of which is training
and customising AI models based on given sample data. The new SAIL
research network is intended to develop the foundations for a
sustainable design of AI components. The aim is to ensure that AI
systems work transparently, safely and reliably throughout their
entire product life cycle. In addition to Bielefeld University of
Applied Sciences, this interdisciplinary network comprises
Bielefeld University, Paderborn University and OWL University of
Applied Sciences and Arts.<br>
<br>
The project addresses fundamental research in the field of AI, its
implications from the perspective of the humanities and social
sciences, as well as concrete fields of application in Industry
4.0 and Intelligent Healthcare.<br>
<br>
Although AI-based applications already outperform human beings in
some areas of medicine – for example, in the detection of skin
cancer –, many potential users (patients, physicians, healthcare
providers) are very reluctant to use this information. The project
aims to investigate these resistances from a psychological
perspective and to find out how these can be reduced by designing
AI applications. For this purpose, in addition to interviews,
behaviour-based experiments with prototypes (where appropriate,
with eye-tracking) are to be conducted.<br>
<br>
Tasks and responsibilities: <br>
- Independent project coordination and implementation within the
research network<br>
- Conduct of independent research activities within the framework
of the research project:<br>
➜ Identification and definition of possible reasons for
resistance to the use of AI in the healthcare sector<br>
➜ Research into factors that can lead to an increase or decrease
in this resistance <br>
➜ Conduct of experiments (online and eye-tracking) <br>
➜ Application and transfer of research results<br>
- Instruction and guidance of student and research assistants<br>
- Knowledge transfer/publications/conference presentations<br>
- Support of project lead in other project activities within the
scope of SAIL<br>
- Implementation of creative ideas in the research network as well
as interdisciplinary work<br>
<br>
You will perform these tasks independently in coordination with
Professor Dr. rer. nat. Gerrit Hirschfeld. In addition, you will
work in an interdisciplinary team consisting of the research
associates of the other universities and other professors.<br>
<br>
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Requirements: <br>
- Master of Science/Engineering from a university or university of
applied sciences in one of the following areas: psychology,
business psychology, cognitive science or related subjects<br>
- Basic knowledge of the relevant social psychological models from
persuasion research<br>
- First practical experience in the planning, conduct and analysis
of empirical studies in psychology<br>
- Very good knowledge of commonly used analysis programmes, e.g.
R, SPSS<br>
- Excellent conceptual and analytical thinking and action<br>
- Independent and autonomous way of working<br>
- Outstanding intellectual capacity<br>
- Experience in writing academic texts and presenting scientific
work results<br>
- Very good knowledge of written and oral German and English<br>
- Excellent team spirit and communication skills, confident
demeanour<br>
<br>
Candidates are further required to make sure that their fixed-term
employment does not exceed the limits prescribed by the
Wissenschaftszeitvertragsgesetz due to previous employments.<br>
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The ideal candidate should also bring:<br>
- Experience in project coordination<br>
- Practical experience in planning and conducting social
psychological experiments, ideally with eye-tracking<br>
- Experience in research activities, in the preparation of
scientific reports and publications or activities as a student or
research assistant<br>
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Benefits: <br>
- Mobile work possible<br>
- Opportunities for participation in qualification programmes<br>
- Support offers for publications and patents<br>
- University daycare facility “EffHa” and holiday care for
schoolchildren on Bielefeld Campus<br>
- 6 faculties with diverse partnerships and research
collaborations in one of the most economically powerful regions in
Germany<br>
- Good accessibility by public transport<br>
- Participation in the university sports programme from Bielefeld
University<br>
<br>
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<br>
Bielefeld University of Applied Sciences has received multiple
awards for its successes in promoting equal opportunities and has
been certified as a family-friendly university. Therefore, women
are particularly welcome to apply, especially in the field of
research and in technology, IT and crafts. 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.<br>
<br>
Persons with severe disabilities are encouraged to apply, too.
Subject to other applicable laws, severely disabled applicants
with equivalent qualifications will be given preferential
consideration.<br>
<br>
Please find more detailed information on the SAIL subprojects at:
<a class="moz-txt-link-freetext" href="https://jaii.eu/sail">https://jaii.eu/sail</a>. Multiple applications for other subprojects
in the network are expressly welcome. In this case, please include
the reference numbers of the respective subprojects in your
application.<br>
<br>
If you have any questions relating to the content of the position
we offer, please contact Prof. Dr. rer. nat. Gerrit Hirschfeld via
e-mail at gerrit.hirschfeld[AT]fh-bielefeld.de.<br>
<br>
** Are you interested? Please apply online only by 6 October 2022,
stating the reference number 03230. **<br>
<br>
Application link:
<a class="moz-txt-link-freetext" href="https://app.fh-bielefeld.de/qisserver/rds?state=change&type=3&nextdir=sva/bwmsas&subdir=sva/bwm&moduleParameter=bwmSearchResult&next=TableSelect.vm&P_start=0&P_anzahl=100&navigationPosition=qissvaCareer%2Csvabwmstellenuebersicht&breadcrumb=sva_bwm_stellenuebersicht&topitem=qissvaCareer&subitem=svabwmstellenuebersicht">https://app.fh-bielefeld.de/qisserver/rds?state=change&type=3&nextdir=sva/bwmsas&subdir=sva/bwm&moduleParameter=bwmSearchResult&next=TableSelect.vm&P_start=0&P_anzahl=100&navigationPosition=qissvaCareer%2Csvabwmstellenuebersicht&breadcrumb=sva_bwm_stellenuebersicht&topitem=qissvaCareer&subitem=svabwmstellenuebersicht</a><br>
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