Two DTU Tenure Track Assistant/Associate Professors in AI4Science and AI4Materials

Danmarks Tekniske Universitet

Job title:

Two DTU Tenure Track Assistant/Associate Professors in AI4Science and AI4Materials

Company

Danmarks Tekniske Universitet

Job description

Job Description:The Departments of Energy Conversion and Storage (DTU Energy) and Applied Mathematics and Computer Science (DTU Compute) seek two exceptional Tenure Track Assistant/Associate Professors for a new cross-departmental initiative on AI4Science, specifically AI4Materials. The Tenure Track Professors will be anchored in the two large-scale and long-term Pioneer Centers for Accelerating P2X Materials Discovery (CAPeX) and Artificial Intelligence (P1) and have joint affiliation at both departments (see descriptions of the departments and pioneer centers below). The Pioneer Centers have a strong focus on fundamental method development in AI4Science and AI4Materials, and offer access to outstanding computational resources and experimental facilities. The positions also include a postdoc position as part of the start-up package.The new AI4Materials initiative offers a unique opportunity to develop your career in a highly dynamic international and bilingual environment, bridging fundamental method development in computer science and AI with scientific approaches and technological challenges in materials physics and chemistry in sustainable energy materials and biomolecular applications. In close collaboration with the departments and the pioneer centers, you will also be jointly responsible for developing a new curriculum and educational strategy for the initiative.In the position, you will have the opportunity to be part of establishing a dynamic inter/transdisciplinary research program that leverages AI and computational tools to address key challenges in materials design and discovery, including mentoring students in interdisciplinary projects bridging computer science and research in materials and energy sciences.Responsibilities and qualifications
We value diversity and encourage applications from individuals of diverse backgrounds to submit their applications. We strongly believe that fostering diversity in the research environment enhances creativity and promotes transdisciplinary collaboration, ultimately contributing to the successful execution of excellent research and innovation. We are striving to build a vibrant team that reflects our commitment to excellence, diversity, and interdisciplinary collaboration.To be considered for the position you must have earned a PhD degree in computer science, physics, chemistry, chemical engineering, materials science, or a related area and have a documented record of excellence in scientific research, including publications in top-ranked and field-relevant journals and/or presentations at significant conferences. Documented experience in teaching and supervision is also expected.Furthermore, we imagine that you have a strong theoretical background and substantial research experience in computational or experimental approaches for designing, discovering or characterizing advanced materials, preferably combined with a strong expertise in AI-accelerated materials discovery, e.g., machine learning, graph-based models, generative AI, data-driven modeling, or workflows. Specific areas of interest include, but are not limited to, closed loop materials synthesis and modeling with atomic, multi-scale, and machine learning approaches to understand complex material.In addition, the ideal candidate for each of the two positions should have the following expertise:

  • AI4Science: Experience in method development and application of machine and deep learning for computational materials design, discovery, or characterization, e.g., graph-based models, generative AI or foundational models, time-series, segmentation, or multi-fidelity and multi-objective optimization. Experience working with inorganic and/or organic materials, multi-modal/sourced/fidelity or experimental datasets, and (autonomous) workflows bridging simulations and experiments will be viewed favorably.
  • AI4Materials: Experience with the synthesis of inorganic energy materials and nanoparticles, as well as working with AI-orchestrated self-driving laboratories with (semi) closed-loop materials discovery, e.g., Bayesian Optimization, autonomous analysis of patterns or spectral data. Experience with predictive control of the synthesis robotics and reaction conditions and materials innovation in energy systems, emphasizing the design and synthesis of complex inorganic/organic architectures, functional surfaces, or nanoparticles, e.g., for electrocatalysis or materials degradation.

You must be responsible for the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both.As a formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training.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 allowance will be agreed upon with the relevant union.The expected starting date is 1 July 2025 (or according to mutual agreement). The position is a full-time position.The assistant professor position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process .You can read more about career paths at DTU .Further information
Further information may be obtained from Director of CAPeX, Prof. Tejs Vegge, DTU Energy (teve@dtu.dk) and Prof. Ole Winther ( ), DTU Compute.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 April 2025 (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 now”, 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
  • CV including employment history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see

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

  • Letters of reference (minimum 2)

You can learn more about the recruitment process .Remember to indicate which of the two positions you are applying for (you can apply for more than one), and to specify whether you are applying for a position as an Assistant or Associate Professor.Applications received after the deadline will not be considered.All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.CAPeX
CAPeX is a 13-year and 300 MDKK “Pioneer Center for Accelerating P2X Materials Discovery”, funded by Danish Ministry of Higher Education and Science, the Danish National Research Foundation, the Carlsberg Foundation, the Lundbeck Foundation, the Novo Nordisk Foundation, and the Villum Foundation. CAPeX is hosted by the Technical University of Denmark (DTU) and co-hosted by Aalborg University (AAU), and unites leading experts from DTU, AAU, University of Copenhagen, Aarhus University, and the University of Southern Denmark with international partners from Stanford University, Utrecht University, and the University of Toronto to form a truly Pioneering Center on P2X. You can read more about the CAPeX research themes and X-trails, our organization, and other open positions at .P1
P1 is a 13-year and 354 MDKK “Pioneer Centre for Artificial Intelligence”, funded by the same bodies as CAPeX. The P1 vision is to support world-class artificial intelligence research focusing on societal challenges, people and design while putting Denmark at the international forefront. In addition to the disciplines within artificial intelligence, such as machine learning and deep learning, P1 researchers also work on the ethical aspects of AI and how to design technologies built on artificial intelligence in such a way that they are accepted and understood by those who need them. The University of Copenhagen, Faculty of Science hosts the centre, with close cooperation from the 4 partner universities: Aalborg University, University of Aarhus, the Technical University of Denmark, and the IT University of Copenhagen. You can read more about P1 at .DTU Energy
The Department of Energy Conversion and Storage (DTU Energy) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multiphysics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 270 dedicated employees. Read more about us atDTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.. Read more about us atTechnology 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 13,500 students and 6,000 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.

Expected salary

Location

Kongens Lyngby, Hovedstaden – Lyngby, Midtjylland

Job date

Thu, 06 Mar 2025 04:19:09 GMT

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