Project assistant without doctorate / PhD Position (m/f/d) in data aggregation and optimization for
Project assistant without doctorate / PhD Position (m/f/d) in data aggregation and optimization for
Project assistant without doctorate / PhD Position (m/f/d) in data aggregation and optimization for
Project assistant without doctorate / PhD Position (m/f/d) in data aggregation and optimization for
TU Graz
Erziehung, Bildung, Wissenschaft
Graz
- Art der Anstellung: Vollzeit
- Hybrid
Project assistant without doctorate / PhD Position (m/f/d) in data aggregation and optimization for
Über diesen Job
Project assistant without doctorate / PhD Position (m/f/d) in data aggregation and optimization for net-zero power systems
- Publication Date 11.07.2025
- Application deadline 17.08.2025
- Job Category Scientific staff
- Job Profile University Project Assistant
- Employment Start October 2025
- Contract Duration 6 mths.
- Hours per week 40 h/w
- Employment Type Temporary
Responsibilities
We would be delighted if you became part of our team at the Institute for Electricity Economics and Energy Innovation. Come and work with us on modeling of energy systems on the path towards a sustainable future. The position is initially limited to 6 months, but can be extended ( there is funding for up to 4 years ).
You can expect:
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Participation in cutting-edge European research projects on data aggregation and optimisation of net-zero energy systems, covering topics such as:
Mathematical optimisation (e.g. linear programming, mixed integer programming),
Modelling of energy systems, Data science and machine learning (e.g. time series aggregation, clustering, etc.),
Techno-economic analyses - Scientific publications and participation in national/international journals and conferences
- Independent supervision of BA and MA projects and Master's theses
Admission Requirements
Completed Master's or DI degree (at the time of starting) in electrical engineering, mechanical engineering, operations research, mathematics or a related engineering programme.
Desired Qualification
- Experience in modelling and optimisation of energy systems
- Experience in data science, machine learning and data analysis
- Experience with relevant optimisation and data science software (e.g. GAMS, Python, R, etc.)
- Excellent command of English (oral and written)
We Offer
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We offer an annual gross salary of at least € 52,007.20 for a fulltime position. An overpayment based on qualification and experience is possible.
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.
About us
Graz University of Technology is the longest-established university of technology in Austria. Here, successful teams of students, talented up-and-coming scientists, ambitious researchers and a lively start-up scene enjoy an inspirational environment as well as access to top-quality equipment. And all this in one of the most innovative and livable regions in Europe. TU Graz offers an inspiring working environment with outstanding infrastructure and service-oriented university management.
In this video, we give you an insight into the working environment at TU Graz: HERE
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