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TU-ID: 134 | 2024 | 27 | 236711

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Assistant Professorship (all genders) - Tenure Track

Computational Physics of Energy Materials

TU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.
At the Institute of Applied Physics, in the Research Unit of Surface Physics TU Wien is offering the following tenure track position for 40 hours/week. Expected start: April 2025.

The post is provisionally fixed term for six years and will be converted into a permanent associate professorship subject to positive tenure evaluation according to a standardized process (tenure track with qualification agreement).

The tenure-track position is affiliated with the Institute of Applied Physics. Duties include research and teaching in the field of Applied Computational Physics. The applicant’s scientific profile should complement on-going research activities in surface science at TU Wien in the context of the recently established “Materials for Energy Conversion and Storage” cluster of excellence (CoE). In particular we are interested in candidates who apply computational methods based on, e.g., DFT and machine learning, to understanding fundamental processes at materials surfaces.

Tasks:

Research:
  • Developing a strong program in applied computational materials science.
  • Resolving questions at solid interfaces of relevance to (electro-)catalysis with computational methods.
  • Collaborating with experimentalist and other theorists working in this area.
  • Supervising students research at all levels.
  • Administrative responsibilities within the institute, e.g., related to computational infrastructure and use.

Teaching:
  • The successful candidate will teach in classes and lab courses of the Bachelor and Master curricula.

Your profile:

  • University Master and Doctoral degree or equivalent and proficiency in English
  • We expect the successful candidate to be a rising star in computational modelling of energy materials with a track record of collaborating with experimental groups.
  • A high-quality publication record and evidence of standing in the academic community is required. Prior acquisition of 3rd party funding is an advantage.
  • Experience in academic teaching (classes and lab courses) and supervising or co-supervising of academic theses
  • International research experience, ideally at the post-doctoral level.

We offer:

  • A wide variety and exciting range of tasks in a collegial team
  • Hybrid working style with up to 60% home office option
  • A range of attractive social benefits (see Fringe-Benefit Catalogue of TU Wien)
  • Wide range of internal and external training opportunities, various career options
  • Central location of workplace as well as good accessibility (U1/U4 Karlsplatz)
TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.

People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.
The employment starts as University Assistant with a minimum salary of EUR 4,752.30 gross (14 x per year) according to the collective bargaining agreement for a PostDoc. After signing the qualification agreement, the employment continues as Assistant Professor with a minimum salary of EUR 5,595.60 gross (14 x per year).

We look forward to receiving your application until August 29th, 2024.
For scientific and teaching related questions you can contact Univ.Prof. Gareth Parkinson, PhD.
If you have any questions, please do not hesitate to contact us

Carmen Keck | T: +43 1 588 01 406201
Here you can find also relevant information about the application process.
Technology for People
Furthermore, please note that applicants will not normally be reimbursed for travel costs incurred in connection with this admission process.
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