Research Assistant in Energy Market Simulation

Smart Grids and Energy Markets (SGEM); New Market (IN); On-site; USD 50,000 - 70,000; Full time

Benefits offered by this job

Flexible work environment

Encourages creativity and personal growth

Job summary

Smart Grids and Energy Markets (SGEM) is looking for a research assistant to support the development of the ASSUME toolbox, an energy market simulation toolkit. The position focuses on programming, testing learning strategies, and contributing to documentation.

Successful candidates will hold a Bachelor's or Master's degree in a relevant field and possess strong programming skills in Python. Good understanding of energy markets and English/German proficiency is required.

Qualifications

• Bachelor's or Master's degree in relevant field.
• Strong programming skills in Python.
• Knowledge of reinforcement learning is an advantage.

Responsibilities

• Support development of the ASSUME toolbox.
• Programming and testing of new learning strategies.
• Contribute to documentation and project meetings.

Skills

Programming skills in Python

Knowledge of reinforcement learning algorithms

Understanding of energy markets

Good written and spoken English

Education

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics

Job description

Overview

Job Advertisement: Stelle offen
Institute: IISM
Contact Person: Kim K. Miskiw

Motivation

The transition towards high shares of renewable power generation is transforming electricity markets, resulting in the constant development of market mechanisms and increasing sector coupling. Introducing a new market or changing the current market design can, however, affect all other markets and their participants in not necessarily foreseeable ways. This raises the need for tools and simulation models to investigate and understand such complex interplay of markets and predict possible adverse effects and misuse of market power.

Job Description

With the ASSUME project, a team of researchers aims to develop a highly modular and easy-to-use energy market simulation toolbox with integrated reinforcement learning methods. This toolbox will enable agile analysis of market designs and bidding strategies of new actors and emerging market dynamics in our fast-changing energy system.

We are seeking a research assistant to support our team in developing and implementing the ASSUME toolbox. The position involves supporting the development of the energy market simulation toolbox, including programming and testing of new learning strategies as well as contributing to the documentation of the toolbox, including user manuals and technical reports and participating in project meetings.

We offer the opportunity to work on a cutting-edge research project with a team of experienced researchers and a flexible as well as friendly work environment that encourages creativity and personal growth.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or related fields
• Strong programming skills in Python
• Knowledge of reinforcement learning algorithms and/or simulation modelling is an advantage
• Good understanding of energy markets and electricity systems
• Good written and spoken English/German skills

We look forward to receiving your application!