Postdoctoral Researcher in Machine Learning in Materials Physics
Aalto University - Department of Applied Physics
£2,977.45 + converted salary* per month
|Contract Type:||Contract / Temporary|
|Placed on:||22nd November 2016|
|Closes:||8th December 2016|
Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 20 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.
Postdoctoral Researcher in machine learning in materials physics
Department of Applied Physics at Aalto University (physics.aalto.fi) invites applications for a full-time Postdoctoral Researcher position as part of the NOMAD European Centre of Excellence (nomad-coe.eu). The project is focused on the implementation of machine learning and big data strategies for materials optimization. In particular, it will require the development of software infrastructure for the analysis and utilization of extensive electronic structure calculations in the context of surface and interface optimization.
At Aalto (www.aalto.fi), the project is led by three groups – the Surfaces and Interfaces at the Nanoscale (SIN) group (physics.aalto.fi/sin) led by Prof. Adam Foster, Computational Electronic Structure Theory (CEST) (physics.aalto.fi/cest)led by Prof. Patrick Rinkeand Prof. Risto Nieminen in the Electronic Properties of Materials (EPM) (physics.aalto.fi/epm) group. The groups are part of the Centre of Excellence for Computational Nanoscience (COMP) at Aalto (comp.aalto.fi). The centre consists of over 100 researchers, forming nine focused research groups. COMP’s research strategy is based on the development and application of advanced theoretical and computational methods for condensed-matter and materials physics and chemistry, especially in nanosciences and nanotechnology.
The project will be carried out in collaboration with the probabilistic modelling group of Prof. Aki Vehtari at Aalto University (users.aalto.fi/~ave/) and Prof. Jukka Corander’s Bayesian statistics group (www.helsinki.fi/bsg/) at Helsinki University.
- Experience in machine learning, computational physics simulations and scientific programming
- Related international high level publications
- Ability to work in a fast paced international project
- Presentation skills
Starting date can be negotiated, with preference to start early 2017. Starting salary is approximately 3500€/month and will increase over time. The contract is initially made for one year, followed by an extension subject to adequate performance. The contract includes Aalto University occupational healthcare. Position can be filled before the application deadline.
The deadline for applications is 8.12.2016.
How to apply
Apply through the link and include the following items as a single pdf document in English:
- Curriculum vitae (no size limit)
- List of publications (no size limit)
- Letter of motivation (max 1 page)
- Recommendation letter(s) or names and contact details of your previous supervisors (min 2 referees)
For more information, please visit our webpage (http://comp.aalto.fi/en/), for additional information on the research topics and on the application process HR Coordinator Pekka Järvinen (firstname.lastname@example.org).
Aalto University reserves the right for justified reasons to leave the positions open, to extend the application period and to consider candidates who have not submitted applications during the application period
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