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COLCOM - Postdoctoral Fellow in Machine Learning for Energy Efficient IoT Networks
Mohammed VI Polytechnic University

COLCOM - Postdoctoral Fellow in Machine Learning for Energy Efficient IoT Networks

2026-06-15 (Africa/Casablanca)
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Om arbeidsgiveren

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.

Besøk arbeidsgiverens side

About UM6P:

Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing.   

More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model.

In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges.

All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams.

The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. 

About COLCOM:

The School of Computer Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields. The candidate is expected to have hands-on experience in fields related to wireless communications.

Key duties:

The Postdoctoral Fellow will be expected to:

  • Publish in high impact journals in the field.
  • Supervise graduate and undergraduate students.
  • Contribute to teaching or other training activities (if applicable)

Criteria of the candidate:

  • PhD in the field of wireless communication, computer science, or any related field.
  • Strong publication record in high impact conferences / journals.
  • Aptitude for teamwork, problem solving, and collaborative relationships
  • Strong technical background in at least one of the following areas:  Multiple access techniques, 

 interference management, energy efficiency, resource allocation, security against intrusive devices. 

Applications and selection procedure:

Applications must be sent using a single electronic zipped folder with the mention of the job title in the mail subject. The folder must contain:

  • A 1-page cover letter with main research interests.
  • A detailed CV.
  • A 1-page brief research statement.

Shortlisted candidates will be invited for an Interview.

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Arbeidsoppgaver

Tittel
COLCOM - Postdoctoral Fellow in Machine Learning for Energy Efficient IoT Networks
Plassering
Lot 660, Hay Moulay Rachid Ben Guerir, Morocco Benguerir, Marokko
Publiseringsdato
2026-05-18
Søknadsfrist
2026-06-15 23:59 (Africa/Casablanca)
2026-06-16 00:59 (CET)
Jobbtype
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Om arbeidsgiveren

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.

Besøk arbeidsgiverens side

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