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EPFL

Top university

Postdoc at the Digital and Cognitive Musicology Lab, EPFL Lausanne EPFL in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Competitive salary and excellent working conditions; full-time postdoctoral contract (100% activity rate).

Country flag

Country

Switzerland

University

EPFL

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Keywords

Computer Science
Psychology
Cognitive Science
Musicology
Digital Humanities
Music
Statistics
Research Method

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About this position

This postdoctoral position is based in the Digital and Cognitive Musicology Lab at EPFL Lausanne, within a research environment that emphasizes state-of-the-art work, international collaboration, and interaction with renowned experts. The lab is presented as part of a strong team of postdoctoral researchers and PhD students, offering a dynamic setting for research at the intersection of digital methods and cognitive approaches to music.

The project focus is centered on musicology with a digital and cognitive angle. The advertised role is for a researcher who can contribute strong computational and analytical expertise, together with experimental research skills and experience in analyzing data. The position suggests work that combines quantitative, method-driven investigation with music-related questions, in a lab environment that values independent, creative, and solution-oriented research.

The opening is at EPFL, one of Europe’s most dynamic scientific institutions, and the advert highlights an international working environment. It is a full-time postdoctoral appointment with competitive salary and excellent working conditions, supporting research in a highly collaborative academic setting.

Funding details

Competitive salary and excellent working conditions; full-time postdoctoral contract (100% activity rate).

What's required

PhD or near completion of a PhD in a relevant field is required. The candidate should have a background in the relevant research area, research experience, strong computational and analytical skills, experimental skills and experience in analysis, and a publication record appropriate to career stage. Excellent written and oral communication skills in English, strong motivation to explore new research domains, independence, creativity, solution-oriented thinking, and good team spirit are required.

How to apply

Apply only through the online platform. Submit a brief cover letter, a single PDF containing your CV with publication list and a research statement, and contact details for three referees.

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