Description du poste
About UM6P:
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.
About CCSE:
The College of Chemical Sciences & Engineering (CCSE) brings together the education and the research activity of UM6P in chemistry, materials science and process engineering. Its School of Chemical Sciences & Engineering (SCSE) hosts the Integrated Preparatory Cycle, the Engineering Cycle (GUP+) and a Bachelor in Chemical & Materials Engineering. Student enrolment is projected to grow from approximately 280 students in 2026-2027 to more than 500 by 2029-2030, across the Integrated Preparatory Cycle, the Engineering Cycle and the Bachelor.
The College is building a faculty whose first mission is teaching, and whose research is carried out within its eight R&D entities (CBS, HTMR, ACER, ARC-Air, LIMSET, SUSMAT, IST&I and MSN). The successful candidate will be affiliated to one of these entities, determined at the time of appointment according to their background and to the priorities of the College. The position is therefore defined at the level of the College and of its academic programs, and not at the level of a single research theme: the teaching assignment described below applies whichever entity of affiliation is retained.
TEACHING ACTIVITIES
- Teach and coordinate the computing and data modules of the curriculum: computer science fundamentals for engineers, algorithms and programming, numerical analysis, data science and machine learning
- Design and deliver the artificial intelligence teaching track, from data management and reproducibility to applied machine learning for chemistry, materials and process engineering, data and artificial intelligence being taught as a single continuum
- Supervise data-driven modelling and simulation projects, and contribute to the digital component of design and integrative projects
- The annual teaching load is a minimum of 100 hours, and is expected to reach 150 hours for this teaching-focused position, distributed across the Integrated Preparatory Cycle, the Engineering Cycle, the Bachelor programs, the Doctoral Training Center and Executive Education
- Supervise student projects, laboratory work, internships and end-of-study projects, and provide academic advising on course selection, orientation and career development
- Develop teaching material, laboratory experiments and assessment methods, and contribute to the pedagogical committees, examination boards and accreditation files of the programs
- Minimum 100 hours per year, expected to reach 150 hours.
RESEARCH ACTIVITIES
- Contribute to the research activity of the R&D entity of affiliation, at a level compatible with a teaching-focused assignment. The research programme is defined with that entity; no specific research theme is imposed by the present position, beyond its relevance to data science and artificial intelligence applied to the fields of the College.
- Co-supervise student projects, internships and, where relevant, master's or doctoral candidates
- Contribute to the collaborative, funded or industrial projects of the entity of affiliation
- Publish and disseminate the results of this activity
ACADEMIC AND INDUSTRY PARTNERSHIPS
- Establish collaborations with faculty members of the College and of the other UM6P entities in order to build and share teaching resources, laboratories and project topics
- Engage with industry partners to source real-world case studies, design project topics and student internships
- Contribute to the outreach activity of the College: open days, orientation, secondary-school and alumni relations
REQUIRED QUALIFICATIONS
- PhD in Computer Science, Data Science, Applied Mathematics or a closely related field
- Command of data science and artificial intelligence methods and of their application to scientific and engineering problems
- Practical command of a scientific programming environment and of reproducible data workflows
- Experience of teaching programming and data science to non-specialist engineering students
- Experience of teaching undergraduate or graduate courses in the field concerned, in both French and English; teaching assistant or instructor roles are acceptable
- A commitment to pedagogical innovation and the ability to mentor and engage students in active learning environments
- Minimum research and development profile: ability to sustain an applied research activity within the entity of affiliation and to contribute to its collaborative or industrial projects
PREFERRED QUALIFICATIONS
- Experience of applying machine learning to chemistry, materials or process data
- Familiarity with high-performance computing environments
- Experience of project-based, problem-based or challenge-based teaching, and of the supervision of design projects
- Experience of teaching in a newly created program, and of the design of syllabi and assessment schemes
- Strong communication skills, and the ability to work within a teaching team
APPLICATION
The application folder must contain a cover letter, a curriculum vitae, a teaching statement including experience of active learning methods, a list of publications if any, and the contact details of three external referees who are not current UM6P faculty.