Research Engineer - Benguerir
Company sector : Education / Training
COMPANY :
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.
What our employees love most about working here ❤ : Read our verified reviews
Company culture :
UM6P – Mohammed VI Polytechnic University operates within a strongly innovation-driven culture, where creativity, experimentation and intellectual boldness are key foundations. The university promotes initiative, openness and autonomy in a stimulating environment focused on research, entrepreneurship and impact. This innovative mindset is reinforced by a solid cooperative dimension, fostering collaboration, knowledge sharing and human development. A clear focus on performance and excellence further supports this culture, while formal processes remain lighter to maintain agility and flexibility.
Job :
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.
Required profile :
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.
Find out if this job is right for you
Take the free ReKrute personality test and instantly get your compatibility score with this job and with the culture of more than 150 companies on the market.
