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Data Scientist / Postdoc at the KIForst Competence Center

EURAXESS hosting organisation · عدة بلدان أوروبية

Join us in shaping AI for Forest Sciences With KIForst , we are establishing a faculty-wide infrastructure that brings together expertise in artificial intelligence and its applications in forest sciences. We are looking for a methodologically strong and communicative individual with an interest in the broad range of forest science research questions—someone who not only develops new solutions, but also works closely with researchers to put them into practice. Your role at KIForst You will work at the interface of machine learning, deep learning, data science and applications in forest sciences . Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological support, consulting and training. You will design solutions and independently implement k

At a glance

Where: Multiple European countries
Deadline: 2026-09-25
Funding: Funding described on programme page
Board: EURAXESS

Who can apply

Criteria stated by the funder on the official source.

Nationality

EURAXESS vacancies rarely print a nationality table. Confirm whether applicants from Tunisia can apply and whether a residence/work permit pathway exists on the employer page.

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Education

Academic requirements are listed on the EURAXESS vacancy; match your degree level to the stated profile (often R1–R4).

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Funding and what it does not cover

Funding details were taken from the official programme page text. Confirm the current call before applying.