One Vacant Position For A Full-Time Senior Scientist (M/F/D) At The Chair Of Cyber-Physical-Systems...

Universities and Institutes of Austria
December 12, 2022
Offerd Salary:B1 to Uni-KV, monthly minimum charge excl. SZ.: € 4
Working address:N/A
Contract Type:Temporary
Working Time:Full time
Working type:N/A
Job Ref.:N/A
  • Organisation/Company: Personalabteilung der Montanuniversität Leoben
  • Research Field: Engineering Other Physics
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 12/12/2022 00:00 - Europe/Brussels
  • Location: Austria › Leoben
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 40
  • Reference Number: 2211WPD
  • 1 One vacant position for a full-time Senior Scientist (m/f/d) at the Chair of Cyber-Physical-Systems in the Department Product Engineering

    Reference number: 2211WPD

    1 position for a full-time senior scientist (m/f/d) at the Chair of Cyber- Physical-Systems in the Department Product Engineering with 01.01.2023 or at the earliest possible date. The initial contract will be limited to one year with the option of extension to a permanent position.

    Salary Group B1 to Uni-KV, monthly minimum charge excl. SZ.: € 4.061,50 for 40 hours per week (14 times a year).

    Job description:

    The group's research topics are autonomous systems, machine and deep learning, embedded smart sensing systems and computational models. The senior scientist will work on one of these topics (or combinations of them), where a focus will be developed jointly based on the experience of the candidate. The researcher will be further engaged in teaching (e.g., student supervision), project management and funding applications.

    What we offer:

    We offer a research position in fascinating fields with the opportunity to develop own ideas and implement them independently. Further, the researcher is part of a young and newly formed team, learns and assumes leadership responsibilities with coaching sessions, and receives targeted career guidance for a successful scientific career.


    Degree in computer science, physics, telematics, electrical engineering, mechanics, robotics or mathematics with a PhD. Experience in at least one of the topics of machine learning, neural networks, robot learning or learning sensor systems.

    Willingness and ability to co-supervise scientific work in research including related publication activities. Programming experience in one of the languages C, C++, C#, JAVA, Matlab, Python or similar. Ability to work in a team, sociability, self-motivation and reliability in a growing team are expected.

    Desired additional qualifications:

    Scientific experience demonstrated by patents and publications in international conferences and journals on machine learning, neural networks, robotics or sensing. Experience in obtaining external funding and in collaborations with industrial partners. Good English skills and willingness to travel for research and to give technical presentations.

    Application materials:

    A complete application includes a (1) detailed curriculum vitae, (2) a letter of motivation with a reference to the desired field of research and teaching from the above-mentioned topics, (3) two letters of recommendation, (4) the PhD thesis as PDF file, (5) all relevant certificates of prior education for bachelor's, master's and PhD studies, (6) name, email and phone number of two additional references to contact, (7) previously published or submitted publications or patents as links or PDF


    Reference number: 2211WPD

    Application deadline: 12.12.2022

    The Montanuniversitaet Leoben intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants, women will receive preferential consideration.

    For the application please use the online form on the homepage:

    https:// www.

    Contact Information
  • Organisation/Company: Personalabteilung der Montanuniversität Leoben
  • Organisation Type: Higher Education Institute
  • Website: https:// www.
  • Country: Austria
  • City: Leoben
  • Street: Franz-Josef-Straße 18, 8700 Leoben
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