University of Mohammed VI Polytechnic (UM6P) Jobs

Postdoctoral Fellow in Federated Learning and Wireless Communications

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University of Mohammed VI Polytechnic (UM6P)

Benguerir, Morocco

5 Star Employer Ranking

Postdoctoral Fellow in Federated Learning and Wireless Communications

Position Overview

The School of Computer Science at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a two-year research project in collaboration with international academic partners. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic environments.

Key Duties

  • Publish in high-impact journals in the field.
  • Supervise graduate and undergraduate students.

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: Mathematical optimization, Resource allocation, Machine learning, Wireless communication.
  • Good communication skills in oral and written English.

Employment Terms

The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based at Benguerir (50 km north of Marrakech), Morocco.

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.
  • A detailed CV.
  • A research statement.
  • A digital copy of the PhD thesis.
  • Contact information for at least two potential academic referees.
  • The earliest available starting date of the candidate.

Shortlisted candidates will be invited for an Interview.

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