Sort by
Refine Your Search
-
– JORF-Lasfar Work Location: GTI-UM6P and JORF-Lasfar site Contract Type: Postdoctoral Position Main Mission The position holder will be responsible for designing and implementing an optimized, resilient
-
processes. Construct multi-objective optimization frameworks (Pareto optimization) to evaluate trade-offs among economic, energy efficiency, and environmental performance metrics. Utilize reinforcement
-
Main Mission The position holder will be responsible for designing and implementing an optimized, resilient, and sustainable logistics architecture for the JORF-Lasfar site. His/her work will focus
-
degradation mechanisms to improve material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods for large-scale cathode material production. Collaborations
-
considered an asset. Demonstrated ability to perform experimental work at lab scale, with experience in pilot-scale setups considered a plus. Proven track record in designing, conducting, and optimizing
-
. Degradation Studies: Investigate structural, morphological, and interfacial degradation mechanisms to improve material stability and cycling performance. Scale-Up and Process Optimization: Work on improving
-
validate a dynamic simulation model of mine haulage operations. Integrate multi-objective optimization to explore trade-offs across cost, emissions, and productivity. Decision-Support & MCDA Implement a
-
Africa. UM6P has robust teaching and research programs with a base of cutting-edge research facilities and has accomplished researchers who work in partnership with research institutions and stakeholders
-
considered a plus. Proven track record in designing, conducting, and optimizing experiments, ideally supported by DoE/statistical methods. Ability to work both independently and collaboratively within a
-
of flotation process parameters based on experimental results. Work closely with a multidisciplinary team, including experts in mineral engineering, chemistry, and process optimization. Supervise MSc/PhD