Assistant Professor in Mechanical Engineering
The recruited Associate Professor develops, with other members of the teaching team composed of UEMF and Euromed Polytechnic School faculty researchers, the training content taking into account programs accredited by CNACES.
He/she provides teaching, supervision, organization and grading of tests and exams and participates in the program juries. The faculty researcher also takes part in the life of the institution and its promotion to prospective students.
The Associate Professor conducts applied and impactful research activities within the objectives defined by Euromed University of Fes (UEMF). He/she participates in cooperation between the university and the professional world and ensures dissemination of scientific knowledge by publishing work and presenting at internationally oriented conferences and colloquia.
Teaching activities :
The incumbent will join the teaching team to teach across various cycles of EPS, preparatory classes, Bachelor to Master, and Engineering cycles. Duties include: • Fundamental courses: Point mechanics, solid mechanics, Strength of Materials, Continuum Mechanics, Statics, Numerical Methods and Finite Element Method (FEA); • Specialized courses: Mechanical manufacturing: CNC, cutting theory, … system design, and manufacturing processes (Machining, Metal and Polymer 3D Printing); • Digital tools: Supervision of practical sessions/projects on CAD and simulation software such as ABAQUS, ANSYS, CATIA, MATLAB/Simulink; • Pedagogical innovation: Development of active methods, Problem- and Competency-based Approaches, Development of modules linking AI and mechanics (Data-driven engineering) and supervision of final year projects.
Research activities :
The researcher will join the laboratory to develop the following lines: • Machining: Research on conventional and CNC machining (optimization of cutting parameters, advanced and intelligent machining processes, part quality and optimization of machining performance). • AI-assisted design: Implementation of predictive models (Neural Networks, Deep Learning) for optimizing the thermomechanical properties of new alloys; • Additive Manufacturing: Study of the relationship between manufacturing parameters (L-PBF, SLS) and the final performance of composite and metallic structures; • Advanced Materials: Microstructural and mechanical characterization of complex alloys under extreme conditions (temperature, fatigue, corrosion); • Valorization: Publication in A-ranked or Q1/Q2 journals, responding to national and international calls for projects, and developing industrial collaborations (Aeronautics/Automotive/Processes).
Education : • Hold a PhD in Mechanical Engineering ;
Experience : • Have experience in teaching and scientific research ;
Technical skills :
• Digital expertise: Proficiency in programming languages for Machine Learning and structural computation codes. • Strong research skills and publications in international peer-reviewed journals indexed in SCOPUS and/or Web of Science (WoS) ;
Transversal skills :
• Oral fluency and communication skills in English and French ; • Project management ability and teamwork.
Application form
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