Postdoc Position in Data-Driven Sustainability Policy and Economics

IT U

Linz

Vor Ort

EUR 52.000 - 72.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Office kitchen
Flextime
Home office
Parking / Climate Ticket

Zusammenfassung

IT:U invites applicants for a research-focused position in Linz, Austria. The role emphasizes high-quality research and teaching within an interdisciplinary framework addressing climate and biodiversity policy.

You will publish in top journals, present at conferences, and collaborate with international researchers while pursuing funding opportunities. The ideal candidate has a PhD with a strong publication record, expertise in econometrics, ML/AI, and sustainability-related policy research, and

Qualifikationen

  • PhD completed or in progress with quantitative focus.
  • Strong publication record or clear potential to publish in leading journals.
  • Expertise in experimental/behavioral methods, econometrics, ML/AI, sustainability policy domains.

Aufgaben

  • Conduct high-quality research activities.
  • Conduct academic teaching activities.
  • Prepare and publish manuscripts in reputable journals.
  • Present findings at national and international conferences.
  • Collaborate with interdisciplinary teams and external partners.
  • Support third-party funding proposals.

Kenntnisse

PhD required
Quantitative focus
Publication record
Independent & collaborative
Excellent English

Ausbildung

PhD in Economics/Data Science/CS/Env. Sci./Policy

Jobbeschreibung

About IT:U

IT:U is a new technical university in Austria (Linz) dedicated to digital transformation, driven by interdisciplinary research and project-based learning to actively shape this transformation and advance it with a solution‑oriented approach.

Your tasks and responsibilities
  • Conducting high‑quality research activities
  • Conducting academic teaching activities
  • Preparing and publishing academic manuscripts in high‑impact academic journals
  • Presenting research findings at national and international conferences
  • Collaborating with other interdisciplinary research teams and external partners
  • Supporting the preparation and submission of third‑party funding proposals
Your strengths and skills
  • A completed PhD (or equivalent) in Economics, Data Science, Computer Science, Environmental Sciences, Political Science, Public Policy, or a related discipline with a quantitative focus.
  • A strong publication record relative to career stage, or clear potential to publish in leading international journals.
  • Strong expertise in one or more of the following areas:
  • Experimental and behavioral research methods
  • Causal inference, econometrics and policy evaluation
  • Machine learning, AI and computational methods
  • Research experience and demonstrated interest in sustainability, climate and environmental policy, biodiversity conservation, environmental governance or related policy domains.
  • Ability to work independently and collaboratively in interdisciplinary research teams
  • Excellent written and spoken English
What you can expect
  • Work on high‑impact research addressing climate and biodiversity challenges.
  • Collaborations with leading international researchers in sustainability, economics, and public policy
  • Benefit from mentoring and support for developing an independent research profile.
  • International mobility, conference participation, and exchange opportunities through our academic network.
Additional
  • Innovative and stimulating working conditions in an interdisciplinary, international research environment
  • Office kitchen with complimentary basic supplies
  • Flexible working hours through a flextime model and the option for home office
  • Free parking or Climate Ticket Upper Austria
How to apply

We look forward to receiving your online application (via the online portal below), including these elements:

  • Cover letter
  • Your CV
  • PhD certificate (or confirmation of expected completion date)
  • One representative publication or working paper
  • Contact details of two references
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