Postdoc position in Applied Machine Learning for Accelerated Battery Innovation, in the Section for Atomic Scale Materials Modelling at DTU Energy, Technical University of Denmark
Deadline to Apply
June 27, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Applied Machine Learning|
– Materials or physical sciences
|Salary||According to standard norms|
|Workplace||Section for Atomic Scale Materials Modelling|
Technical University of Denmark
|Contract Period||2 Years|
|Starting date||Sep 01, 2021|
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:
- is innovative and learns new concepts and methods on the fly
- has good communication skills in English, both written and spoken
- gets excited by challenging complex projects
- can work independently within a cross-disciplinary team and take responsibility for the progress and quality of projects.
Responsibilities/ Job Description
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.
How to Apply?
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.
- 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)
About Department of Energy Conversion and Storage
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 www.energy.dtu.dk
- 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.
- If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
Prof. Tejs Vegge
Dr. Arghya Bhowmik
Please do not send applications to these e-mail addresses; instead, apply online as described above.
Post expires at 8:59am on Monday June 28th, 2021 (GMT+9)