Graz University of Technology

Tenure Track Professorship for "Hybrid physics-based and data-driven modeling and simulation of complex mechanical or electrical engineering systems" (f/m/d)

2024-05-31 (Europe/Vienna)
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  • Publication Date 20.03.2024
  • Application deadline 31.05.2024
  • Job Category Professorship Path
  • Job Profile Professorship
  • Employment Start December 2024
  • Employment Type Permanent

Fields of Expertise (FoE) – Sustainable Systems

Applicants should be excellently proven in the fields of hybrid physics-based and data-driven modeling and simulation of complex mechanical or electrical engineering systems. Ideal applicants should have experience in co-simulation and interdisciplinary research. Examples include: large-scale physical modeling, data-driven optimization or hybrid approaches such as physics-informed machine learning with applications in industrial processes, integrated sector-coupled networks or buildings and energy systems. 

Co-simulation offers an ideal platform for complex system analysis, fostering cross-disciplinary and cross-institutional collaborations by allowing the combination of various simulators and modeling paradigms. Thus, the candidate could be a key link between institutions within the FoE Sustainable Systems, promoting collaboration and interdisciplinary research. 

The professorship will be part of the Field of Expertise Sustainable Systems described at https://www.tugraz.at/en/research/fields-of-expertise/sustainable-systems/overview-sustainable-systems/

Based on the research and teaching focus, the candidate will be assigned to a matching institute and faculty that participate in this Field of Expertise.

Employment Requirements

  • A relevant national or international university education with a completed doctoral/PhD degree

Selection Criteria

  • Outstanding achievements and potential in research, excellent publication activity and international reputation in the field of mechanical and/or electrical engineering.
  • Examples include: large-scale physical modeling, data-driven optimization or hybrid approaches such as physics-informed machine learning with applications in industrial processes, integrated sector-coupled networks or buildings and energy systems.
  • International experience at a recognized university or research center.
  • Experience in the design and implementation of international research projects as well as willingness and ability to establish and lead a research group.
  • Enthusiasm for excellent teaching, teaching experience, as well as the ability and willingness to teach in all curricular stages (Bachelor, Master, PhD), supervise theses and promote young scientists.

We Offer

  • Interesting area of responsibility
  • Collegial and friendly working atmosphere
  • Flexible working schedule (e.g. possibility for home office, paid lunch break)
  • International training and teaching opportunities
  • Seal of quality for in-house advancement of women
  • Award for being the most family-friendly company in Styria 2018
  • Subsidy for public transport
  • University’s sports program
  • Shopping Discounts
  • Workplace Health Management
  • Top research infrastructure and access to the latest technologies
  • Exciting opportunities for professional and personal development
  • Safe and stable working environment
  • Company pension funds

Application Documents

  • cover letter
  • CV (with copies of diplomas)
  • list of publications highlighting the 5 most important publications
  • research statement describing past and planned research activities (3 pages max.)
  • teaching statement (3 pages max.) describing past and planned teaching activities and evaluations of past teaching activities (if available).

To ensure effective international representation of the research group and its work, excellent spoken and written competence in English is required. Specifically, willingness to teach courses in English is expected. Fluency in German or the willingness to acquire it is also required. The successful candidate is also expected to transfer her/his residence to the area of Graz.

The advertised position is a tenure-track career position. (pursuant to § 99 para. 5 of the Universities Act) After the conclusion of a qualification agreement, the job holder is appointed as an Assistant Professor. After a positive evaluation of the qualification agreement, the position will be turned into a position as Associate Professor.

The position will be paid according to category B1 of the collective agreement for employees of Austrian universities, stipulating an initial gross salary of EUR 5,251.10 (14 x per year). 

Graz University of Technology aims to increase the proportion of women, in particular in management and academic staff, and therefore qualified female applicants are explicitly encouraged to apply. Preference will be given to women if applicants are equally qualified.
Graz University of Technology actively promotes diversity and equal opportunities. Applicants are not to be discriminated against in personnel selection procedures on the grounds of gender, ethnicity, religion or ideology, age, sexual orientation (Anti-discrimination).
People with disabilities and who have the relevant qualifications are expressly invited to apply.

Hearings

Hearings are planned for week 38 in 2024. Candidates will be invited in due course after review of the applications and should be available for interviews in this period.

Contact

For further questions, please contact the heads of the Field of Expertise, Sonja Wogrin, E-Mail: wogrin@tugraz.at und Christoph Hochenauer, E-Mail: christoph.hochenauer@tugraz.at

Become part of the team of Graz University of Technology - we are looking forward to your application!

DESCRIPCIÓN DEL PUESTO

Título
Tenure Track Professorship for "Hybrid physics-based and data-driven modeling and simulation of complex mechanical or electrical engineering systems" (f/m/d)
Ubicación
Rechbauerstraße 12 Graz, Austria
Publicado
2024-03-20
Fecha límite de aplicación
2024-05-31 23:59 (Europe/Vienna)
2024-05-31 23:59 (CET)
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