Post-Doc✓ Accepting Applications

Benoît Frénay/Jérémy Dodeigne

Unknown Organization
Belgium
Apply by Jul 14, 2026

Application deadline

Jul 14, 2026

187 days left

Apply now

Job

Job location

Benoît Frénay/Jérémy Dodeigne

Geocoding

Belgium

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Jul 14, 2026

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Benoît Frénay/Jérémy Dodeigne

Geocoding

Belgium

Geocoding in progress.

Source: legacy

Map

Job Description

We are seeking a motivated postdoctoral researcher to work on an interdisciplinary project at the intersection of deep learning and comparative politics. The candidate will work in the Human-Centered Machine Learning (HuMaLearn) team of Prof. Benoît Frénay and the Belgian and Comparative Politics team of Prof. Jérémy Dodeigne. The goal will be to develop new deep learning methodologies to analyse large corpuses of archive videos that picture political debates. We specifically aim to detect emotions, body language, movements, attitudes, etc. This project is linked to the ERC POLSTYLE project that Jérémy Dodeigne recently obtained, guaranteeing a stimulating research environment. The HuMaLearn team gathers about ten researchers, many of them being actively working in deep learning, but not only and with a keen openness to interdisciplinarity.

Requirements

  • Eligible applicants are experienced researchers (i) in possession of a doctoral degree at the call deadline
  • or (ii) have at least four years of full-time equivalent research experience. Eligible applicants cannot have resided or carried out his/her main activity (work
  • studies
  • etc.) in Belgium for more than 12 months in the three years before the deadline of the call. Applicants must be fluent in English. Interested candidates can send an e-mail to Benoît Frenay and Jérémy Dodeigne with a motivation letter explaining their adequacy with the proposed research topic
  • a recent CV with a publication list and a link to an online profile (ORCID
  • Scholar or equivalent)
  • their PhD thesis and up to five representative publications. PhD student who have not yet defended their thesis and who will do so in the next coming months are welcome to apply (in which case
  • sending us a PhD thesis is not mandatory).
Apply now

Submit applications before the deadline to ensure review.

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