PhD Scholarship in Data-driven Optimization and Machine Learning for Operation and Planning of Power-to-X Hybrid Power Plants - DTU Wind

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PhD Scholarship in Data-driven Optimization and Machine Learning for Operation and Planning of Power-to-X Hybrid Power Plants - DTU Wind
Kgs. Lyngby, Denmark

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Job Description

If you would like to contribute to the green energy transition and are keen on green hydrogen developments, this PhD position is right here in front of you. We offer a fully funded 3-year PhD position at DTU Wind and Energy Systems, where you will break new ground at the absolute forefront of renewable energy research.

We at DTU Wind and Energy Systems offer a vibrant, welcoming, and diverse environment with an international atmosphere, encouraging creativity, empathy, team working, outstanding academic collaborations, and links to leading companies in the Danish energy sector.

You will join the Energy Markets and Analytics (EMA) Section, in the Division for Power and Energy Systems (PES). The EMA Section has a strong multi-disciplinary research focus on energy markets, optimization, game theory, and machine learning. We are currently 14 members in the EMA Section (link ) from 10 nationalities, valuing diversity, and with heterogeneous scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, applied math, etc. Many former EMA students are currently very successful scientists either in academia or in industry. 

The PhD candidate will be involved in the “PtX Markets” project that has been recently granted funding by Innovation Fund Denmark under the Mission Green Fuels programme. Besides three departments at DTU, other academic and industrial partners in this project include Copenhagen Business School, Evida, Hybrid Greentech, ENFOR, Biogas Danmark, and Energi Danmark.

DTU highly encourages the PhD candidates to have a research stay of 3-6 months in abroad. The time period and destination will be determined in an agreement with the supervisors. 

Motivation, tasks, and qualifications
The rapid advancement of data-driven optimization and machine learning techniques has opened up new opportunities to revolutionize the operation and planning of energy systems. Power-to-X hybrid power plants have emerged as instrumental contributors to the green revolution. These plants contain a diverse array of co-located energy assets such as electrolyzers, wind/solar units and batteries, producing electricity, hydrogen, and various frequency-supporting ancillary services. This PhD position aims to develop cutting-edge data-driven optimization and machine learning techniques as decision-making tools, with the goal of achieving optimal operational and planning strategies for such plants in the face of uncertainty.

A good candidate will fulfil most of the following points: 

• Knowledge of power and energy systems 
• Knowledge of optimization and decision making under uncertainty
• Knowledge of machine learning
• Knowledge of programming languages, such as Python or Julia
• Excellent use of the English language 
• Ability to present results in technical reports, and prepare scientific papers for publication in international conferences and journals

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . 

Assessment
The assessment of the applicants will be made by Associate Professor Jalal Kazempour, Researcher Farzaneh Pourahmadi, and Assistant Professor Lesia Mitridati.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms 
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

The PhD project should start in the first half of 2024. The exact start-date is according to a mutual agreement, taking into account your availability and preference. This position is a full-time position.

You can read more about career paths at DTU here .

Further information
Further information may be obtained from Associate Professor Jalal Kazempour ([email protected] ).

You can read more about DTU Wind and Energy Systems Department at https://wind.dtu.dk .

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.

Application procedure 
Your complete online application must be submitted no later than 19 February 2024 (23:59 Danish time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter). It would be beneficial that you explain why you suit well for this specific PhD position in terms of your scientific background, programming skills, motivation and commitment, etc (details are welcome).
• Curriculum vitae 
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
• A list of at least two references. 

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The Department of Wind and Energy Systems is one of the world’s largest centers of wind energy and energy systems research and knowledge, with a staff of more than 400 people from 37 countries working in research, innovation, research-based consulting and education. DTU Wind and Energy Systems has approximately 90 PhD students. The department’s cross-disciplinary research is organized through strategic research programmes that collaborate with Danish and international universities, research institutions and organizations, as well as the wind industry.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,400 students and 5,800 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

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Job Info

• Job Identification 3103
• Job Category Phd
• Posting Date 02/02/2024, 01:53 AM
• Apply Before 02/19/2024, 05:59 PM
• Locations Elektrovej 325, rum 124, Kgs. Lyngby, 2800, DK

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