Post-doctoral Position in Computational Physics and Machine Learning at the Department of Applied Physics (Aalto University at the Department of Applied Physics)

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 11 000 students and nearly 400 professors. Our campus is located in Espoo, Finland. Post-doctoral position in computational physics and machine learning (Aalto University, Helsinki, Finland) As part of the Academy of Finland project ‘Computational tomographic atomic force microscopy’ (CATAFM), a post-doctoral position is available in computational physics and machine learning. The CATAFM project targets an opportunity to develop a systematic software approach to understand and predict atomic force microscopy images for molecules of any size, configuration or orientation. This is integrated into a machine learning infrastructure that can then predict molecular structure directly from an arbitrary AFM experimental image, without any of the current constraints on dimensionality and shape. The project is built around three groups at Aalto (www.aalto.fi) – at the Department of Applied physics, the Surfaces and Interfaces at the Nanoscale (SIN) group (physics.aalto.fi/sin) led by Prof. Adam Foster and the Atomic Scale Physics (STM) group (physics.aalto.fi/stm) led by Prof. Peter Liljeroth, and at the Department of Computer Science, the Computer Vision group led by Prof. Juho Kannala (cs.aalto.fi). We are looking for a computational post-doctoral researcher for the project, working mainly on first principles modelling of molecules on surfaces and development of the imaging simulations. However, we anticipate this researcher should work closely with the machine learning team, and with the experimental researchers. TECHNICAL REQUIREMENTS AND DETAILS Successful candidates shall have or are close to having a PhD in Physics, Chemistry, Materials Science, or related disciplines. Experience of computational physics simulations and scientific programming are also desirable, and any knowledge of machine learning is welcome. The candidate must have a high motivation for research, show evidence of good written and oral communication skills in English, and enjoy working in an international and cross-disciplinary team. The standard contract periods are 2 years for post-doctoral researchers, with possibilities for extensions. Typical gross salary ranges at the Aalto School of Science are 3400-3900 €/month for post-doctoral researchers. Moreover, Finland has a comprehensive social security system. HOW TO APPLY The call is open and the position can be filled as soon as a proper candidate is found. The deadline for the first round of applications is 16th September 2019. Applications should consist of a scientific CV including publication list and the names of two referees. Inquiries and applications should be made through the Aalto recruitment system (see the ‘Apply now!’ button at the end of the page) Living up to our values As a community of high ethics, we want to assure the highest international standard in research, education and teaching. We expect all our community members to respect Aalto values and follow the ethical principles of fair play and integrity in all our activities and the behaviour that we expect from each other. Required Research Experiences RESEARCH FIELD Computer science YEARS OF RESEARCH EXPERIENCE 4 - 10 RESEARCH FIELD Physics YEARS OF RESEARCH EXPERIENCE 4 - 10 If you apply for this position please say you saw it on Physicaloxy

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 11 000 students and nearly 400 professors. Our campus is located in Espoo, Finland.

Post-doctoral position in computational physics and machine learning (Aalto University, Helsinki, Finland)

As part of the Academy of Finland project ‘Computational tomographic atomic force microscopy’ (CATAFM), a post-doctoral position is available in computational physics and machine learning. The CATAFM project targets an opportunity to develop a systematic software approach to understand and predict atomic force microscopy images for molecules of any size, configuration or orientation. This is integrated into a machine learning infrastructure that can then predict molecular structure directly from an arbitrary AFM experimental image, without any of the current constraints on dimensionality and shape. The project is built around three groups at Aalto (www.aalto.fi) – at the Department of Applied physics, the Surfaces and Interfaces at the Nanoscale (SIN) group (physics.aalto.fi/sin) led by Prof. Adam Foster and the Atomic Scale Physics (STM) group (physics.aalto.fi/stm) led by Prof. Peter Liljeroth, and at the Department of Computer Science, the Computer Vision group led by Prof. Juho Kannala (cs.aalto.fi).

We are looking for a computational post-doctoral researcher for the project, working mainly on first principles modelling of molecules on surfaces and development of the imaging simulations. However, we anticipate this researcher should work closely with the machine learning team, and with the experimental researchers.

TECHNICAL REQUIREMENTS AND DETAILS

Successful candidates shall have or are close to having a PhD in Physics, Chemistry, Materials Science, or related disciplines. Experience of computational physics simulations and scientific programming are also desirable, and any knowledge of machine learning is welcome. The candidate must have a high motivation for research, show evidence of good written and oral communication skills in English, and enjoy working in an international and cross-disciplinary team. The standard contract periods are 2 years for post-doctoral researchers, with possibilities for extensions. Typical gross salary ranges at the Aalto School of Science are 3400-3900 €/month for post-doctoral researchers. Moreover, Finland has a comprehensive social security system.

HOW TO APPLY

The call is open and the position can be filled as soon as a proper candidate is found. The deadline for the first round of applications is 16th September 2019. Applications should consist of a scientific CV including publication list and the names of two referees. Inquiries and applications should be made through the Aalto recruitment system (see the ‘Apply now!’ button at the end of the page)

Living up to our values

As a community of high ethics, we want to assure the highest international standard in research, education and teaching. We expect all our community members to respect Aalto values and follow the ethical principles of fair play and integrity in all our activities and the behaviour that we expect from each other.