For this position, we are seeking a highly qualified and scientifically excellent person who has committed her/his/their research on advanced computational techniques to model and 
simulate materials and chemical systems, by implementing machine learning approaches and/or big data mining in the field of materials chemistry or physical chemistry. 
The selected person will collaborate closely with experimentalists including materials scientists and chemists to bridge the gap between theory and experimentation, 
driving innovation and problem-solving. The position is promoted by the interfaculty Field of Expertise (FoE) Advanced Materials Science (AMS) and thus a multidisciplinary research 
strategy is highly favored.

The scientific focus of the candidate should strengthen and complement one of the strategic themes of the Field of Expertise Advanced Materials Science focusing on energy materials, 
sensor materials, thin films, soft matter, semiconductors, porous materials, functional (bio-based/bio-degradable) polymeric materials, or chemical aspects enabling 
the progress of advanced materials.In addition, we expect willingness to engage in interdisciplinary cooperation inside and outside of TU Graz (e.g. NAWI Graz), and cooperation 
across faculty borders within the TU Graz Field of Expertise Advanced Materials Science. 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 specifically in Chemistry or Physics.

More information on the FoE Advanced Materials Science can be found at: https://www.tugraz.at/en/research/fields-of-expertise/advanced-materials-science/overview-advanced-materials-science/

Requirements:
	+ PhD-level university education in disciplines relevant for the position

Selection Criteria:
	+ Outstanding achievements in research, excellent publication record and international reputation.
	+ International experience in form of a PhD or Post-Doc.
	+ 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, Doctorate), 
          supervise theses and promote young scientists.

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).

Application documents:
Interested candidates should submit a cover letter, a CV including copies of diplomas, a list of publications highlighting the 5 most important publications, 
a research statement describing past and planned research activities (3 pages max.) and a teaching statement (3 pages max.) describing past and planned 
teaching activities and evaluations of past teaching activities (if available).

Closing date for application: 01.05.2024

Hearings are planned for week 26 in 2024. Candidates will be invited in due course after review of the applications and should be available for interviews in this period.

For further questions, please contact the head of the Field of Expertise, Gregor Trimmel, E-Mail: gregor.trimmel---tugraz.at

Apply under https://jobs.tugraz.at/en/jobs/59797cc6-7c55-399d-9bc6-65d34e3aa7c2