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 has six schools
with nearly 11 000 students and a staff of more than 4000, of which 400 are
professors. Our main campus is located in Espoo, Finland. Diversity is part of
who we are, and we actively work to ensure our community's diversity and
inclusiveness in the future as well. This is why we warmly encourage qualified
candidates from all backgrounds to join our community.
The School of Chemical Engineering is one of the six schools of Aalto
University. It combines natural sciences and engineering in a unique way.
The Department of Chemistry and Materials Science is looking for motivated
Postdoctoral researcher to join the Computational Chemistry group
In this position, you will have a chance to be a part of research project that
is focused on developing explainable artificial intelligence (XAI) based
tools to accelerate the development of redox flow battery (RFB)
chemistries. Specifically, we will develop DFT based computational screening
and machine learning (ML) tools to facilitate rapid evaluation of RFB
materials to identify the most promising candidates. We will use new
Explainable Artificial Intelligence (XAI) methods to rationalize the vast
amount of computational data. With DFT methods we can compute the structures
and properties of tens of thousands of molecules, and XAI will then enable us
to pinpoint the important molecular features contributing to the redox
potential and other properties such as stability and reactivity. Armed with
this information, we can design selected sets of new promising molecules and
evaluate their properties more rigorously with computational methods. The
computational group will work in close collaboration with flow battery group
in University of Turku (Prof. Peljo) and organic chemistry group in
University of Jyväskylä (prof. Pihko).
Your task will include the XAI-ML model development of the redox potential,
stability and reactivity. You will also participate to the DFT modelling of
various molecules since the DFT modelling will provide the descriptors to the
ML models. You will learn how to develop very advanced DFT-XAI tools to solve
real world materials development problems. In this position, you will also
have the opportunity to interact with experimental groups trying to solve the
same problems as you do.
You will join the skilled computational chemistry group lead by prof. Kari
Your background and expertise
You must have a PhD degree in a relevant field. We expect you to have a good
knowledge of machine learning or quantum chemical modelling, preferably DFT
methods. If you have a good ML knowledge, we expect that you are interested to
learn molecular modelling. If you have a molecular modelling background, a ML
knowledge is a bonus.
What we offer
We offer you an inspiring scientific environment with three modelling groups
and excellent computational facilities including access to one of the largest
supercomputers in the world.
The expected starting salary for a recently graduated PhD in a postdoctoral
researcher position is approximately 3500€/month. The salary will increase
with responsibilities and performance over time. This is a fixed-term
position, and the project funding for the postdoctoral researcher is for three
years. The position can be filled immediately.
The contract includes occupational health care and Finland has a comprehensive
social security system. Aalto University provides excellent learning and
development opportunities, commuter ticket benefit and Unisport offers
versatile exercise services with staff discount.
Ready to apply?
If you want to join our community, please submit your application through our
online recruitment system by using the link on Aalto University's web page
Please include the following documents in English.
Curriculum Vitae (with the list of publications)
Doctoral degree certificate
You can write a short research plan (max 2 pages) or include your
research visions to your motivation letter
Names and contact information of referees (They will be contacted later
in the recruitment process)
The call is open until February 15, 2022, but we will start reviewing and
interviewing candidates immediately. The possible interviews will be organized
using video meetings.
If you have any questions, professor Laasonen is happy to give you more
information about the position firstname.lastname@example.org
Aalto University's employees and visitors please note: you should apply for
the position via our internal system Workday - > Career -> find jobs (not
external aalto.fi webpage on open positions) by using your existing Workday
Finland is a great place for living with or without family – it is a safe,
politically stable and well-organized Nordic society. Finland is consistently
ranked high in quality of life. For more information about living in Finland:
https: // www. aalto.fi/services/about-finland
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