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Graduation Caps

Doctoral Researcher in Power Electronics

Open position

In collaboration with

About

The partner company for this position is ABB, a leading global technology company that electrifies industry and transportation with the aim to decarbonize them.

Its converters power variable speed drives, electric vehicle charging stations, wind turbines and locomotives.

DSII offers Doctoral Researchers a unique opportunity to undertake dissertation research, gain a thorough understanding of product development, tackle real-world business challenges and expand their professional networks.

The position is placed in the Electrical Engineering Unit in the Faculty of Information Technology and Communication Sciences.

Job description

The purpose of the job is to create new knowledge for academia and industry in the field of power electronics.

The goals are:

◾Development of optimal modulation methods for medium-voltage variable speed drive systems.
◾Development of software tools that will facilitate the previous goal.

As a Doctoral Researcher you will first develop and test the modulation methods in a simulation environment such as Matlab.

In a second step, the methods will be implemented in a hardware-in-the-loop simulator. Finally, they will be run on a low-voltage lab prototype. The results will be disseminated in scientific peer-reviewed journals, international conferences, doctoral network events and events with industry.

At the university, the work will be supervised by Associate Professor Dr. Petros Karamanakos, while the company’s supervisor will be Dr. Tobias Geyer. You will also be supported by practitioners in the steering committee, including company representatives.

The tasks of all Doctoral Researchers may include teaching duties that amount to approximately 5% of their annual working hours, unless there are justified reasons to the contrary.

By participating in DSII events, excursions, meetings and training sessions with your fellow doctoral students, you will both get and provide peer support and make your own contribution to the development of DSII.

Requirements

You need to have an applicable higher university degree in electrical engineering, or a related discipline in science or engineering. A strong interest in mathematics, optimization (e.g., mathematical optimization methods with a focus on nonconvex optimization) and machine learning is very important. Moreover, experience in at least one of the following is highly appreciated: power electronics (power converters, variable speed drive systems), modulation methods (space vector modulation, optimized pulse patterns), control (modern control theory, optimal control), embedded programming, and microprocessors. You also need to have an inquiring mind, enjoy problem-solving and be able to think independently while also being able to work in a team. A good command of English, both in writing and in oral presentations, is required.

Successful candidates must be pursuing or should be accepted to study towards a doctoral degree in computing and electrical engineering. Please visit here for more information on eligibility requirements.

How to apply

Please submit your application by August 1, 2024 (23:59 EEST / UTC +3).

Associate Professor Petros Karamanakos

Contact

petros.karamanakos@tuni.fi

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