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Mohammed VI Polytechnic University

GTI - Postdoctoral Researcher – AI/ML for Energy Systems Mohammed VI Polytechnic University in Morocco

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Morocco

University

Mohammed VI Polytechnic University

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Keywords

Computer Science
Data Science
Electrical Engineering
Artificial Intelligence
Time Series Analysis
Anomaly Detection
Predictive Analytics
Electric Vehicle
Embedded System
Renewable Energy Systems
Machine learning

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About this position

Mohammed VI Polytechnic University (UM6P) in Benguerir, Morocco, is recruiting a Postdoctoral Researcher in AI/ML for Energy Systems through its Green Tech Institute. The role sits at the intersection of energy transition, circular economy, sustainable construction, and battery intelligence, with a strong emphasis on developing advanced machine learning methods for battery management systems (BMS) in electric mobility and micro mobility applications.

The postdoctoral project focuses on designing and optimizing models for state-of-charge (SOC) and state-of-health (SOH) prediction for lithium iron phosphate (LFP) batteries, with the broader aim of improving safety, efficiency, and battery lifetime. Research activities include implementing machine learning algorithms, analyzing large battery datasets, building predictive analytics for real-time battery health monitoring and fault detection, and integrating AI models into embedded BMS and hardware systems. The position also includes work on resource-constrained AI pipelines and edge AI applications.

The university describes itself as a research- and innovation-driven institution with a strong development mission in Africa, and the Green Tech Institute is positioned around sustainability, renewable energy, resource efficiency, and waste reduction in the built environment. The successful candidate is expected to collaborate with engineers, guide PhD students, contribute to scientific publications and conferences, and potentially support patentable or technical innovations.

Eligibility highlights: a PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field is required. The posting also notes background in Urban or Rural Development, Civil Engineering, or related domains, along with hands-on experience in planning, renewable energy, or sustainable construction. Strong practical skills in TensorFlow, PyTorch, Scikit-learn, Python, R, or MATLAB are preferred, as well as familiarity with battery systems, electrochemistry, embedded/IoT applications, cloud platforms, and BMS architecture.

Funding: no explicit stipend or funding package is stated in the posting. Application: the application deadline is unspecified, and candidates are directed to apply via the Academic Positions application link.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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