Research Engineer - Benguerir
Enseignement - Secteur Enseignement / Formation
- Intermédiaire (3 à 5 ans)
- 1 poste(s) sur Marrakech et région - Maroc
- Bac +5 et plus Minimum
Extraversion Organisation Respect des règles Besoin de réflexion Recherche de nouveauté
- CDD
- Télétravail : Non
Entreprise :
Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco’s frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.
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Culture de l'entreprise :
UM6P – Université Mohammed VI Polytechnique se caractérise par une culture fortement orientée innovation, où la créativité, l’expérimentation et l’audace intellectuelle constituent des piliers essentiels. L’université encourage l’initiative, l’ouverture d’esprit et l’autonomie, dans un environnement stimulant tourné vers la recherche, l’entrepreneuriat et l’impact. Cette dynamique innovante est enrichie par une dimension coopérative solide, valorisant la collaboration, le partage des savoirs et le développement humain. Une orientation vers la performance et l’excellence complète l’ensemble, tandis que les processus formels restent volontairement plus légers pour préserver l’agilité.
Poste :
Smart thermostats offer a superior alternative to programmable thermostats, enabling users to effectively manage energy consumption in residential HVAC systems. Some smart thermostats even incorporate machine-learning (ML) algorithms to generate accurate thermal models. However, existing literature lacks a suitable ML scheme that fully harnesses the potential of smart thermostats. Currently, centralized (CL) or federated learning (FL) schemes are employed, necessitating a central server. Unfortunately, this server poses risks such as being a single point of failure and compromising data privacy and security. Additionally, the one-size-fits-all approach adopted by CL and FL schemes is inadequate as each home has unique characteristics and thermal comfort requirements. Personalized and accurate thermal models need to be developed to address this limitation.
At the College of Computing in UM6P and with the research group led by Professor Robert Basmadjian, there is an available position for a Research Engineer (RE) lasting 12 months. The role of the RE involves working within the context of the PePTM project, leveraging the peer-to-peer learning scheme for the use case of smart thermostats.
Among others, the main tasks include:
1. The creation of a comprehensive, open-source anomaly-free dataset for thermal models in Smart Buildings.
2. Optimization of energy consumption of training and implementation of PePTM on IoT devices.
3. Designing and prototyping of the Proof-of-Concept Green Energy Park’s (GEP) houses.
Profil recherché :
Desired Qualifications:
1. Strong team player with a passion for exploring and deploying HVAC systems using IoT.
2. Master's degree in Computer Science and/or Computer Engineering.
3. Proficiency in contemporary programming languages like Python, Kotlin, Java, etc.
4. Advanced knowledge in machine learning especially the peer to peer scheme.
5. Understanding of system integration within Android and Linux operating environments.
Adresse de notre siège :
Lot 660, Hay Moulay Rachid, Ben Guerir 43150
Traits de personnalité souhaités :
Extraversion Organisation Respect des règles Besoin de réflexion Recherche de nouveauté
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