The world is changing at an ever-faster pace. At the Johannes Kepler University Linz, we work on technologies and the ideas of tomorrow on a daily basis. At the same time, we educate over 25,500 young people to meet the demands of today’s job market. In short, we are Upper Austria’s largest institution for education and research. Are you interested in being a part of shaping the future of Austria’s most attractive campus university? We currently have a job opening for a:

Graduate Teaching Assistant (must hold a Diploma/Master's degree) for a full-time, four-year position

Organizational unit::

LIT Future Energy Lab

Entry date::

02/02/2026

Term from:

02/02/2026

Temporary employment to::

01/31/2030

Job Reference Number::

151080-2025-001550

:

The Johannes Kepler University Linz (JKU Linz) and the Technische Universität Wien (TU Wien) are joining forces to establish a Doctoral College for Computational Sustainability, combining the strengths and competences of complementary disciplines at both universities, and aiming to create and approve transdisciplinary knowledge in key research areas of computational sustainability. The aspirational vision of the Doctoral College is a world in which computational sciences significantly contribute, support, drive and foster global, regional and national efforts towards sustainable development.

For this joint Doctoral College, we invite applications from outstanding candidates eager to contribute to cutting-edge research in computational sustainability.

The successful candidate will pursue a PhD project with the following working title: Flattening the Curve: Computational Approaches for Load Forecasting and Policy Impact Assessment toward Cost-Effective and Sustainable Power Grids

A summary of the planned project is available at https://computational-sustainability.at/flattening-the-curve-2/

The dissertation will be co-supervised by Univ.-Prof. Dr. Johannes Reichl (JKU Linz) and Univ.-Prof. Dr. Peter Filzmoser (TU Wien), and carried out at the LIT Future Energy Lab at JKU. Visit https://www.jku.at/linz-institute-of-technology/forschung/research-labs/future-energy-lab/ for more information on the lab.

Job Duties::

Plan and conduct independent research in the field of load forecasting and energy-economic analysis, with a particular focus on the challenges of the energy transition
Develop and apply machine learning methods to improve forecasts of positive and negative load peaks
Design and test regulatory instruments and tariff models in a simulation environment to reduce investment costs in grid infrastructure while ensuring system stability
Publish research findings in high-ranking journals (e.g., Nature Energy) and present at international conferences.
Contribute to research funding proposals and foster collaborations with industry partners, regulatory authorities, and EU institutions
Teach courses on computational and data analytic topics, including an introduction to Python programming for the application of quantitative methods in energy economics
Support students and project partners in data collection, preparation, and analysis
Contribute to outreach activities to disseminate project results to policy makers, the scientific community, and the general public

Your Qualifications::

The successful canidate must hold a completed Master’s degree in statistics, data science, computer science, or a related field. (candidates already registered for a PhD or with an accomplished PhD are not eligible)
Proven knowledge in econometrics and machine learning, ideally applied to load and generation forecasting or similar problem areas
Strong programming skills in Python (for data analysis, modelling, and teaching); knowledge of R or Stata is an asset
High motivation to work in an interdisciplinary environment at the interface of energy policy, economics, and technology, with a focus on developing practical solutions
Excellent written and spoken communication skills in English (minimum B2, preferably C1) for teaching, publications, and funding proposals; knowledge of German or willingness to acquire it is an advantage
Ability to independently deliver courses, particularly in energy economics and introductory Python programming
Willingness to present research results clearly and convincingly at both national and international levels, and to contribute to both academic and practice-oriented publications

What We Offer::

On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 3,714.80 gross per month (14 x per year, CA Job Grade: B1)
Stable employer
Attractive campus environment with good public transportation connections
Attractive continual educational opportunities
State-of-the-art research infrastructure
Dynamic research environment
Broad range of on-campus dining services/healthy meals (organic food at the cafeteria)
Exercise and sports classes (USI)
…and much more

Application Deadline::

11/05/2025

:

The Johannes Kepler University wishes to increase the proportion of academic female faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants with disabilities. These applications will be given special consideration.

Contact::

If you have questions, please contact: Univ. Prof. Dr. Johannes Reichl, P +43 732 2468 9351, E-mail: johannes.reichl@jku.at.

Exertion place address:

Altenberger Straße 69, 4040 Linz