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Postdoctoral Researcher Position in AI/DFT/DMFT Computational Materials Discovery - Aalto University

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aalto logoAalto · Otaniemi, Finland
ContractOn-site1w ago
Machine Learning
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Benefits

Aalto University follows the salary system of Finnish universities. The salary ranges for a postdoc from 4229€ to 4649€ per month , depending on previous experience, and the postdoc contracts will initially be made for 2 years . The contract includes Aalto University occupational healthcare.Place and infrastructureJoin us!To apply for the position, please submit your application including the attachments mentioned below as one single PDF document in English through our online recruitment system by clicking "Apply now!" button in our web page.Letter of motivation including a maximum 2 pages research statementCV including list of publicationsDegree certificates and academic transcriptsContact details of at least two refereesThe deadline for applications is 15 June 2026 , but the position will remain open until filled. For additional information, kindly contact Prof. Andrei Bernevig ( bernevig@princeton.edu ) and/or Prof. Päivi Törmä ( paivi.torma@aalto.fHealth insurance

Additional Information

Professor Andrei Bernevig (Princeton University; visiting professor at Aalto University) and Professor Päivi Törmä (Aalto University) are looking for a highly motivated Postdoctoral Researcher to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large-scale collaborative efforts in superconductivity research, namely SuperC led by Päivi Törmä and the Simons Collaboration on New Frontiers of Superconductivity led by Andrei Bernevig, and it is part of the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models capable of breakthroughs. The research will mix state of the art numerical skills with analytic understanding. Your task is to predict new classes of materials that have not been considered before, beyond substitutional frameworks, and target desirable properties such as high critical temperature. The work is done in close collaboration with experimentalists: the most promising materials will be synthesized, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types of materials. We are searching for a Postdoctoral Researcher with excellent numerical skills and a deep understanding of condensed-matter physics concepts. Experience in machine learning, DFT, symmetry aware learning, material science, and group theory is required. Andrei Bernevig is a leading scientist in the research of quantum materials and has, for example, predicted topological materials and developed a systematic approach to identify thousands of new topological materials. Päivi Törmä has pioneered the idea that quantum geometry allows supercurrent and superconductivity in flat bands where non-interacting particles are localized. For recent research outputs of the PIs, please see Andrei Bernevig's entry at Google Scholar , and Päivi Törmä's at Google Scholar . Your experience and ambitions We are looking for a bright and motivated Postdoctoral Researcher with an excellent record. Good command of English (both verbal and written) and demonstrated ability to disseminate scientific results are mandatory requirements for the position. Finnish language is not required. Applicants must be motivated to conduct research at the highest international level. Postdoctoral Researchers must hold a PhD degree in a suitable field. Also, researchers that are finishing their PhD within a few months may apply.


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