芬兰阿尔托大学博士后职位—用于分子建模的机器学习

芬兰阿尔托大学博士后职位—用于分子建模的机器学习

Postdoctoral Researcher in machine learning for molecular modellingAalto University

Description

We are looking for a Postdoctoral Researcher to join the Computational Electronic Structure Theory (CEST) group. In this position, you will have a chance to make an impact on molecular modelling and aerosol chemistry by applying tools from artificial intelligence (AI). Our long-term objective is to understand molecular aggregation processes in the atmosphere and how they affect air quality and climate change.

Your role and goals

You will develop and implement machine learning approaches to manage the combinatorial complexity of molecular chemistry and predict molecular clustering behavior. The project is part of the recently founded Center of Excellence in Atmospheric Science VILMA and you will collaborate with experimentalists, theoreticians and computer scientists. You will combine computational and experimental data, devise molecular descriptors, and develop active learning workflows alongside data analytics tools and running AI algorithms in high-performance computing environments.

Your experience and ambitions

We welcome candidates with a PhD in (computational) chemistry or physics or computer science who are curious about applied machine learning in the natural sciences. Prior machine learning experience is strongly encouraged. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of machine learning and AI. This project requires creative thinking and programming, as well as technical expertise in machine learning and a broad understanding of computational science and molecular chemistry. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science.

What we offer

In the Computational Electronic Structure Theory (CEST) group, led by Prof. Patrick Rinke, we advance electronic structure theory and machine learning to pursue innovative applications towards future technologies and sustainability. We are a multi-cultural and cross-disciplinary team, with complementary subgroups and talents. You will train in machine learning applications with experienced developers, meet our global network of collaborators, join us at scientific meetings, help us organize research workshops and get involved in academic and diversity outreach. In combination with the academic development courses at Aalto University, we will help you grow a competitive and international career profile. You will also be part of the VILMA Center of Excellence in Atmospheric Science and the Finnish Center for Artificial Intelligence (FCAI) and join a vibrant community at the crossroads of AI research, physics, chemistry and atmospheric science.

The fixed term contract is initially for two years. The annual workload of research and teaching staff at Aalto University is currently 1612 hours. Aalto University follows the salary system of Finnish universities. The starting salary for a Postdoctoral researcher is approx. 3700€/month. The contract includes Aalto University occupational healthcare. The primary workplace will be the Otaniemi Campus at Aalto University.

Ready to apply?

If you want to join our community, please submit your application through our recruitment system by May 31, 2022. To apply for the position, please submit your application including the attachments mentioned below as one single PDF document in English through the link 'Apply now' link at the bottom of the web page.

(1) Letter of motivation (2) CV including list of publications (3) Degree certificates and academic transcripts (4) Contact details of at least two referees (or letters of recommendation, if already available)

The position will be filled as soon as a suitable candidate is identified. For additional information, kindly contact Prof. Patrick Rinke. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period.