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PhD scholarship in AI-software for Smart Aggregation of Power Electronic Converters

Contratación en Københavns omegn (Dinamarca) de profesor de educación superior/profesora de educación superiora

Clasificación del trabajo: Profesionales científicos e intelectuales › Profesionales de la enseñanza › Profesores de universidades y de la enseñanza superior › Profesores de universidades y de la enseñanza superior › profesor de educación superior/profesora de educación superiora.

Traducción de la profesión: Arbejde, der forudsætter viden på højeste niveau inden for pågældende område › Undervisning og pædagogisk arbejde › Undervisning og forskning ved universiteter og højere læreranstalter › Undervisning og forskning på universiteter og højere læreranstalter.

Descripción de la oferta de trabajo:

Are you interested in conducting cutting edge research in the intersection of the Internet of Things (IoT) and Artificial Intelligence (AI) focusing on resource-limited edge IoT devices? Are you a hands-on person, interested in low-level programming, applied machine learning, and deploying IoT devices in the real world? DTU Wind & Energy Systems Department offers a PhD scholarship funded by the Danish Independent Research Fund (DFF) within the Sapere Aude project MAGIC. The position is available from December 1, 2022, or later according to mutual agreement.

The basis of our green transition is renewable energy from the wind and sun. However, one of the main challenges of basing our energy supply solely on wind turbines and solar panels is that the wind doesn't always blow, and the sun doesn't always shine. And, we need controllable energy generation in order to match our consumption. Using batteries and hydrogen electrolyzers to store renewable energy are most often suggested as solutions for this challenge, but batteries and electrolyzers are expensive to produce, install and operate. This PhD project will investigate a cost-effective alternative way for counterbalancing the variability of renewables. In particular, the target is to extract the flexibility from power electronic interfaced resources that anyways exist in the electrical systems. Examples are fans, pumps, EV chargers and compressors, which can in principle complement batteries and electrolyzers, and serve as cost-effective providers of the stable energy supply the green transition's success depends on.

In order to enable that, we need to equip these existing power electronic interfaced resources with new smart capabilities, embodied in special-purpose edge devices that this project targets to develop. In particular, we will rely on artificial intelligence (AI) technology, which can give the devices and systems the ability to function in a smart way such as self-adaptivity and on-the-fly performance optimization following the operation conditions. However, today many of the solutions under development requires AI execution in the cloud or on a larger computer platform with an operating- and file-system available. To enable execution on edge-devices (sensors, pumps, fans, compressors etc.), an AI translation is needed to allow execution on these resource constrained devices. In essence, this will enable AI to perceive and learn in real-time by mirroring critical AI functions across multiple disparate systems, platforms, sensors, and devices operating at the edge.

Responsibilities and qualifications

This PhD project is focused on developing novel AI algorithms and systems to be deployed for the most part on the custom-made edge devices and be used for control and condition monitoring of power electronic converters interfaced flexible resources such as pumps, fans, EV chargers, compressors and others. You will deploy, and optimize end-device performance in IoT edge deployments in real-time. To that end, the project will investigate and propose novel real-time AI-based algorithms and toolchains. Particular focus are pump-based loads as case-studies for acquiring knowledge of industrial systems and as platforms for demonstrating achieved solutions. Initial tests will be done at Smart Converter and EV labs at DTU, while real world EV chargers and pump stations will be used as a 'Living lab'.

Responsibilities include the analysis of the state of the art for tools/tool chains for embedded AI development, investigation of different machine learning models and imperfect data preprocessing techniques, collaboration with other researchers in the hardware and software development areas. You will also be responsible for deploying developed models in university lab and industrial setting, with particular focus on water pumps and EV chargers.

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. Applicants with a 300 ECTS (i.e., 5 years) education at bachelor and master level are also encouraged to apply.

You must have a master's degree in computer science or electronic engineering or equivalent. You must have a strong background in applied machine learning and programming e.g. Java / Python. An advantage would be to have experience with the development of web services. Experience in writing and publishing scientific papers is an advantage as well. You must be excellent in English, both speaking and writing, and possess excellent communication skills. We will expect you to demonstrate a proactive approach to work, have a problem-solving orientation and focus on continuous learning and improvement. As you will be surrounded by a larger group researchers, your propensity for teamwork and willingness to openly express ideas is important.

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.


Professor Tomislav Dragičević (, and Head of Section for E-Mobility and Prosumer Integration, Associate Professor Mattia Marinelli (, will make the assessment of the applicants.

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 terms of employment

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.

You can read more about career paths at DTU here.

Further information

Further information may be obtained from Professor Tomislav Dragičević (

You can read more about the department DTU Wind & Energy Systems at

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

Please submit your online application no later than 15 September 2022 (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)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
  • A 1-page research statement, including figures and references if deemed necessary (max 500 words). Research achievements (if any), methodological approaches and research objectives relevant to the framework of the PhD study are recommended elements to be included

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

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 vision to develop and create value using science and engineering to benefit society. That vision 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.

País del trabajo: Dinamarca.

Región: Københavns omegn.

Ver 477 ofertas de trabajo en "Københavns omegn" (Dinamarca).

Número de puestos: 1.

Empleador: Danmarks Tekniske Universitet.

Instrucciones para solicitar:

Please apply using one of the specified channels

Forma de contacto:

  • Ciudad: Kongens Lyngby; Código postal: 2800; Calle: Anker Engelunds Vej, Número: 101
  • Sitio web:

Oferta de trabajo obtenida del portal Eures, con fecha 11 de Agosto de 2022, y con identificador de la vacante:5656076.

Ver las 273 ofertas de trabajo de Profesionales científicos e intelectuales › Profesionales de la enseñanza › Profesores de universidades y de la enseñanza superior › Profesores de universidades y de la enseñanza superior › profesor de educación superior/profesora de educación superiora ofertadas.

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