DTU Tenure Track Assistant Professor in Autonomous Computational Discovery of Sustainable Energy Materials

If you have a strong desire and will to establish yourself as a scientist, and you are looking for the best possible foundation for fulfilling your dreams and ambitions, it could be right here!

At DTU Energy, you can break new ground at the absolute scientific forefront and become an internationally leading expert in the development and application of novel computational techniques to bridge atomic-scale materials design with simulations, synthesis and experiments. Using for example machine learning and autonomous workflows integrating data from all parts of the materials discovery and innovation cycle, you can play a key role in the development of a closed-loop optimization framework capable of accelerating the discovery of sustainable energy materials for a greener world. Join us in developing next-generation battery materials and electrocatalysts for sustainable production of fuels and chemicals – with the potential of influencing lives of people and businesses all over the world.

The position is part of DTU’s Tenure Track program. 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. We develop talent by offering a career mentor, state-of-the-art research infrastructure, and postgraduate teacher training. DTU’s Tenure Track is an appointment of at most six years, during which you will receive career support in the form of professional and personal guidance. At the end of the tenure track appointment you will be evaluated by an external assessment committee, who will assess your appointment to a permanent Associate Professorship.

Become a leading expert in autonomous materials discovery

Your overall focus will be to strengthen the department’s competences in the development and application of novel computer- and AI-based methods to accelerate and bridge atomic-scale materials simulations with automated synthesis robotics, simulations and experiments at longer time and length scales. A long-term ambition will be to develop an autonomous closed-loop infrastructure capable of orchestrating the discovery, synthesis and characterization of new electrochemical energy materials and interfaces.

You will work closely with colleagues at DTU as well as leading national and international collaborators in academia and industry. As a start, part of your research is expected to relate to ongoing long-term fundamental research initiatives, such as the large-scale European project Battery Interface Genome – Materials Acceleration Platform ( ) and the Villum Center for the Science of Sustainable Fuels and Chemicals ( ), both lead by DTU.

You are expected to develop your career and establish yourself as an independent scientist. You must contribute lively to the development and application of novel computational approaches to push the forefront of scientific research and innovation in accelerated/autonomous materials discovery and development.

One example of a potential focus area could be to develop and implement machine learning or multi-scale approaches capable of extending the time- and length scales of density functional theory (DFT) simulations, e.g. using cluster expansion techniques for modelling disordered energy materials or machine learning potentials for modelling electrochemical solid-liquid interfaces. Another example could be to develop deep learning techniques capable of capturing the structure-property relations of million-atom-systems like enzymatic catalysts in solution, to inverse design artificial bio-inspired inorganic catalysts for production of sustainable fuels and chemicals (Power2X). A third example could be the development of autonomous workflows capable of acquisitioning, analyzing and utilizing big data from different simulational codes and experiments. A fourth example could be the development of software for automating and orchestrating materials synthesis procedures and synthesis robots, as well as apps for autonomous analysis of data from characterization experiments.

Other primary tasks will be to:

  • Teach and supervise BSc and MSc student projects, and be a co-supervisor for PhD students
  • Disseminate research findings and innovation – scientifically and in the public domain
  • Contribute to attract external funding from public and private sources
  • Strengthen and broaden the internal and external collaborations within accelerated computer- and AI-based materials discovery

At the end of the period as Assistant Professor, you must be able to be responsible for courses and to lecture in Danish. Thus, you must be willing to learn Danish during the Assistant Professorship.

You must be responsible for the teaching of courses. You will be expected to learn Danish and be able to teach in Danish after 3 years. DTU can provide Danish language courses.

As formal qualification you must hold a PhD degree (or equivalent).

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

  • Experience and quality of teaching
  • Research experience
  • Research vision and potential
  • International impact and experience
  • Societal impact
  • Innovativeness, including commercialization and collaboration with industry
  • Leadership, collaboration, and interdisciplinary skills
  • Communication skills

Salary and terms of employment

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The salary for the position will be determined by the applicants qualifications and in agreement with the relevant union. Further information on qualification requirements and job content may be found in the

Further information

Further information may be obtained from Professor Tejs Vegge, Head of Section for Atomic Scale Materials Modelling (ASM), DTU Energy, , tel.: +45 51 64 17 87.

You can read more about DTU Energy at and ASM at .

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at

Application procedure

Your complete online application must be submitted no later than 21 February 2021 (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:

  • Application (cover letter)
  • Vision for teaching and research for the tenure track period
  • CV including employment history, list of publications, H-index and ORCID (see

) including documentation of teaching experience * Academic Diplomas (MSc/PhD)

  • List of publications
  • List of references (at least two)

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

DTU Energy

It is our vision to be a world-leading cross-disciplinary research department within sustainable technologies for energy conversion and storage, and to enable a sustainable society through innovative technology development building on fundamental insights.

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 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.

Danmarks Tekniske Universitet

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