Tenure Track position in optimization of engineering systems
Vacancy number 218018
The successful candidate is expected to develop research in areas optimization for engineering systems. The theoretical side of the optimization might involve convex optimization, game theory, cone programming, stochastic optimization or non-smooth optimization while the application domains include, but are not limited to, managing traffic and logistic systems, vehicle routing and task assignment, supply chain management, optimizing energy systems, decision-support for manufacturing systems, and automation of robotic systems. Other areas, e.g. learning and data mining, financial engineering and intelligent systems, might be considered as well in cases of exceptional applicants. It is particularly encouraged that the applicant’s research areas have clear and close connection with various engineering data or processes in the context of smart cities, modern transportation, flow networks, energy systems, communication and computer networks, cyber-physical networks and manufacturing & service. The candidate will be embedded in the SMS-Cyberphysical System group in which research in cyber-physical systems, dynamical networks, nonlinear systems, hybrid and switched control is conducted, with applications ranging from smart grids, to data centres, water and heat networks, as well as adaptive optics.
Contact information: Prof. M. Cao,
m.cao@rug.nl
Tenure Track position in operational research of engineering systems
Vacancy number 218019
The successful candidate is expected to develop research in areas operational research for engineering systems. The possible sub-research areas include, but are not limited to, managing traffic and logistic systems, vehicle routing and task assignment, supply chain management, optimizing energy systems, decision-support for manufacturing systems, and automation of robotic systems. Other areas, e.g. game theory, learning and data mining, financial engineering and forecasting for stochastic processes, might be considered as well in cases of exceptional applicants. It is particularly encouraged that the applicant’s research areas have clear and close connection with various engineering data or processes in the context of smart cities, modern transportation, flow networks, energy systems, communication and computer networks, cyber-physical networks and manufacturing & service. The candidate will be embedded in the DTPA (Discrete Technology and Production Automation) group in which research in energy networks, robotic systems, mechatronic systems, and nonlinear control is conducted, with applications ranging from power networks, to traffic systems, smart manufacturing, as well as logistic systems.
Contact information: Prof. M. Cao,
m.cao@rug.nl
For more information about the research groups and institute:
www.rug.nl/research/sms
www.rug.nl/research/dtpa
www.rug.nl/research/enteg