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Field
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, and engineering to optimize and upscale and biodegradable structures that temporarily mimic key emergent traits using industrial-scale additive manufacturing (i.e., 3D-printing) techniques
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! Join us in optimizing transcranial
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Welcome to Maastricht University! Join us in optimizing transcranial magnetic stimulation (TMS) for personalized epilepsy treatments! PhD Candidate: Towards Personalized Brain Stimulation
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will be determined in collaboration with you based on your strengths and interests, but could for instance involve developing new techniques for efficiently optimizing quantum computations, both in
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. • Models of network congestion, and solutions for planning and co-optimizing electricity and heating networks to avoid congestion issues •. Validation of proposed techniques through principled multi-agent
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, Department of Mathematics and Computer Science. The student’s working locations will be at Eindhoven University where the PhD candidate will be supervised by experts in combinatorial optimization, machine
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for sustainable spare parts management using additive manufacturing. You will explore how to: Design supply chains that include AM-based remanufacturing facilities. Optimize spare parts inventories and ordering
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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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optimization algorithms, you will design structures that deliberately harness modal couplings to exhibit tailored nonlinear behaviour, with direct applications in ultrasensitive resonant sensing. Together
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the second direction, you will explore the geometric design of nonlinear systems. Using nonlinear reduced order modelling (ROM) integrated with optimization algorithms, you will design structures