Research Fellow (Distributed Energy Resources Management System (DERMS))

The Research Fellow will be a key member of the project team on Distributed Energy Resource Management System focusing on power/energy optimization algorithm development and deployment.

Key Responsibilities:

Design & develop constraint optimization algorithms/tools for DERs deployment and planning with support functionalities.
Constrained optimization problem formulations the following: convex optimization, dynamic programming, NLP, MILP and MINLP.
Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs and conduct hardware-in-the-loop (HIL) simulations using OPAL-RT.
Applications of stochastic programming/approximate dynamic programming approach.
Implementation of distribution and probability power-flow methods for DER-rich networks for enhanced system flexibility
Modelling of DER-based integrated grid ancillary services that maintain reliability and stability

Job Requirements:

Ph.D. in Electrical/Computer Engineering specialized in Power Systems Planning and Optimization
At least 2 years of postdoc research experience in Distribution Energy Resource Integration and power system.
Working knowledge in medium and low voltage network modelling, power-flow, and large-scale optimization involving convex optimization, dynamic programming, NLP, MILP and MINLP.
Working knowledge in data analysis for clustering and classification
Ability to work cohesively in an international team to drive the common project objectives.
Ability to communicate well in English and to present research ideas and findings clearly and concisely

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

Research Fellow (Distributed Energy Resources Management System (DERMS))

The Research Fellow will be a key member of the project team on Distributed Energy Resource Management System focusing on power/energy optimization algorithm development and deployment.

Key Responsibilities:

Design & develop constraint optimization algorithms/tools for DERs deployment and planning with support functionalities.
Constrained optimization problem formulations the following: convex optimization, dynamic programming, NLP, MILP and MINLP.
Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs and conduct hardware-in-the-loop (HIL) simulations using OPAL-RT.
Applications of stochastic programming/approximate dynamic programming approach.
Implementation of distribution and probability power-flow methods for DER-rich networks for enhanced system flexibility
Modelling of DER-based integrated grid ancillary services that maintain reliability and stability

Job Requirements:

Ph.D. in Electrical/Computer Engineering specialized in Power Systems Planning and Optimization
At least 2 years of postdoc research experience in Distribution Energy Resource Integration and power system.
Working knowledge in medium and low voltage network modelling, power-flow, and large-scale optimization involving convex optimization, dynamic programming, NLP, MILP and MINLP.
Working knowledge in data analysis for clustering and classification
Ability to work cohesively in an international team to drive the common project objectives.
Ability to communicate well in English and to present research ideas and findings clearly and concisely

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

Research Fellow (Distributed Energy Resources Management System (DERMS))

The Research Fellow will be a key member of the project team on Distributed Energy Resource Management System focusing on power/energy optimization algorithm development and deployment.

Key Responsibilities:

Design & develop constraint optimization algorithms/tools for DERs deployment and planning with support functionalities.
Constrained optimization problem formulations the following: convex optimization, dynamic programming, NLP, MILP and MINLP.
Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs and conduct hardware-in-the-loop (HIL) simulations using OPAL-RT.
Applications of stochastic programming/approximate dynamic programming approach.
Implementation of distribution and probability power-flow methods for DER-rich networks for enhanced system flexibility
Modelling of DER-based integrated grid ancillary services that maintain reliability and stability

Job Requirements:

Ph.D. in Electrical/Computer Engineering specialized in Power Systems Planning and Optimization
At least 2 years of postdoc research experience in Distribution Energy Resource Integration and power system.
Working knowledge in medium and low voltage network modelling, power-flow, and large-scale optimization involving convex optimization, dynamic programming, NLP, MILP and MINLP.
Working knowledge in data analysis for clustering and classification
Ability to work cohesively in an international team to drive the common project objectives.
Ability to communicate well in English and to present research ideas and findings clearly and concisely

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

Research Fellow (Distributed Energy Resources Management System (DERMS))

Nanyang Technological University, Singapore

50 Nanyang Ave, Singapore 639798