The Section for Atomic Scale Materials Modelling at DTU Energy is looking for outstanding candidates for two 2-year postdoc positions within the fields of machine learning for battery science. The research position is part of the European project BIG-MAP (Battery Interface Genome – Materials Acceleration Platform, https://www.BIG-MAP.eu) under the large-scale and long-term European research initiative Battery 2030+, which seeks to reinvent the way we invent batteries using AI and is led by DTU with 34 partners from 15 countries and spanning world-leading academic experts, research laboratories and industry leaders.

Project descriptions
The successful candidate will train and deploy machine learning models as surrogate simulators using local and European large-scale HPC at an unprecedented scale for high-accuracy modelling of battery electrodes and interfaces. We will utilise models developed locally like neural network ansatz quantum Monte Carlo, equivariant graph neural networks for electron density, density functional theory accelerated with predicted density matrix, crystal structure search methods with symbolic neural AI etc. We will also use state of the art methods developed in partner groups and elsewhere. 

Necessary software engineering will be done for scalability and distributed trainability. This will allow us to reach unprecedented ground truth accuracy electronic structure solution of battery materials or to generate petabytes of data over entire phase spaces of materials to allow data driven science.

The projects will be carried out in close collaboration with external partner groups that are among the world’s leading machine learning or materials simulation groups. The activities are linked to other ongoing projects in the Section working on clean energy materials and machine learning for accelerated materials discovery.

Qualifications
Candidates should hold a PhD or equivalent degree in computer science, physics, chemistry or materials science. The candidates must have a strong background in computational chemistry, physics or materials science and/or machine learning, and are expected to have performed original scientific research within the relevant fields listed above for the specific position. Moreover, the successful candidate:

• is innovative and able to work both independently and in cross-disciplinary teams
• has good communication skills in English, both written and spoken
• is able to work independently and take responsibility for the progress and quality of projects. 

Assessment
The assessment of the applicants will be made by: Head of Section, Professor Tejs Vegge, Associate Professor Ivano Castelli, and Assistant Professor Arghya Bhowmik.

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 appointments will be for 2 years and based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union.

The employment is expected to start December 1st, 2023 or shortly thereafter.

You can read more about career paths at DTU here.

Further information
If you need further information concerning these positions, please contact Prof. Tejs Vegge at [email protected] or Dr. Arghya Bhowmik at [email protected].

Please do not send applications to these e-mail addresses, instead apply online as described below.

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

Application
We must have your online application by 7 October 2023 (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 in 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 
• BSc/MSc/PhD diploma
• List of publications indicating scientific highlights
• List of References (at least two) 

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

APPLY ONLINE

DTU Energy
The Department of Energy Conversion and Storage is focused on education, research, and development within functional materials and their application in sustainable energy technologies. The Department is focusing on functional materials and their application in sustainable energy technology. Our research areas include fuel cells, electrolysis, polymer solar cells, magnetic refrigeration, superconductivity, thermo electrics, sustainable synthetic fuels, and batteries. Additional information about the department can be found on http://www.energy.dtu.dk.

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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.