Job announcements relevant to people interested in electronic structure calculations…
Due to the large number of posts recently, there is currently a delay of several weeks between posts being submitted and the corresponding emails being distributed to all users. Please bear with us while we try to improve this. In the meantime – and until this notice is removed – it would assist us considerably if you could submit only important and/or urgent posts and thus help to reduce the size of the mail queue. Under no circumstances should you resend posts multiple times when you find the emails are not distributed immediately.
In light of the Russian military offensive in Ukraine, we request that announcements relating to events, jobs and other activities associated with institutions supported by the Russian and Belarusian states are not posted to the Psi-k forum.
Postdoc position in Applied Machine Learning for ... (No replies)
Back to Job listings...
The Section for Atomic Scale Materials Modelling at DTU Energy is looking for outstanding candidates for a 2-year postdoc position within the field of machine learning for battery science. The research position is part of the ambitious European research project BIG-MAP (Battery Interface Genome – Materials Acceleration Platform) under the large-scale and long-term European research initiative Battery 2030+, which seeks to reinvent the way we invent batteries. BIG-MAP is led by DTU with 34 partners from 15 countries and spanning world-leading academic experts, research laboratories, and industry leaders.
Project descriptionsThe successful candidates will break new ground in developing and applying machine learning (ML) methods that leverage multi-sourced experimental and computational data towards building ML models that capture atomic-scle phenomenon at the solid-liquid interfaces present inside the lithium-ion battery and guides active search of chemical space for better molecules, materials, and structures that improve battery durability and performance. The project will rely on computational data like molecular dynamics and reaction kinetics simulations done with quantum mechanical calculations as well as high throughput robotic electrochemistry experiments. We will explore Bayesian learning and those operating on graph-structured data as well as other approaches.
The projects will be carried out in close collaboration with external partner groups and 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 applied machine learning, preferably coupled with experience in materials or physical sciences, and are expected to have performed original scientific research within the fields listed above. Moreover, the successful candidate:
Assessment
The assessment of the applicants will be made by: Head of Section, Professor Tejs Vegge, Professor Ole Winther, and Researcher 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 appointment will be for two years and be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The employment is expected to start 1 September 2021, or soon after that.
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 27 June 2021.
Apply online at http://www.career.dtu.dk.
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:
All interested candidates irrespective of age, gender, race, disability, religion, or ethnic background are encouraged to apply.
DTU Energy
The Department of Energy Conversion and Storage is focusing on functional materials and their application in sustainable energy technology. Our research areas include fuel cells, electrolysis, solar cells, electromechanical converters, sustainable synthetic fuels, and batteries. The Department, which has more than 200 employees, was founded in 2012. Additional information about the department can be found on http://www.energy.dtu.dk
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 12,900 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.