From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Mon Aug 16 05:01:31 2021
Subject: 21.08.16 Postdoc in the development of Machine Learning methods for fundamental Theoretical Chemistry procedures
We, the Quantum Chemistry group at Uppsala University, Sweden, are looking for a postdoctoral researcher in machine learning and theoretical chemistry, a temporary position for two years.

This postdoctoral project aims at the development of machine learning technology/methods used to improve and create robust techniques for the optimizations of wave functions, and to use the 
Gaussian Process Regression as an ansatz for the electronic wave function. The position is placed in the Quantum Chemistry group, headed by Prof. Roland Lindh. 
During 2022 50% of the work will be conducted in the AI4Research project of Uppsala University.

Uppsala University, Department of Chemistry - BMC

Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication make Uppsala University one of Swedens most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion.

The Department of Chemistry  BMC is located at the Uppsala Biomedical Centre campus. It belongs to the Faculty of Science and Technology and conducts research in biochemistry, organic chemistry, analytical chemistry,  theoretical chemistry, and physical chemistry. The research is focused on catalysis, molecular recognition, structure and dynamics of complex molecular systems, and relationships between the presence of biomolecules and synthetic chemical compounds with various disease states. There is also strong research in method and technology development, including the design and synthesis of small organic molecules and biological macromolecules. Development of new biochemical and analytical methods are the basis for advanced studies of biological systems and their regulation, and how diseases can be diagnosed and treated. The department benefits from close contacts with other disciplines nearby and interacts with biomedicine, pharmacy, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a facility belonging toSciLifeLab, part of a national infrastructure for research in life science. The creative and research-intense environment contributes to a broad knowledge-base as well as cutting-edge expertise. In addition, Uppsala University has a highly developed innovation office that gives support for commercialization and external collaboration.

Uppsala University offers one of the countrys best educations in chemistry, with strong links to world-leading research. A wide range of courses, excellent research connections, and extensive lab work characterizes the teaching. Together with our colleagues at the Department of Chemistry  ngstrm, we are responsible for the Bachelor and Master programs in Chemistry, and the Master of Science in Chemical Engineering, together with the Faculty of Pharmacy. We provide courses and parts of courses to other education programs, both within and outside the faculty.
Qualifications: To be eligible to apply you must have a Ph.D. in theoretical or computational chemistry, or in the fields of Artificial Intelligence and machine learning, or an exam which is judged comparable
to a Swedish Ph.D. in the same subject. Extensive knowledge in and practical experience with machine learning and/or theoretical chemistry, is mandatory.  Documented experience of the development of machine
learning methods and algorithms, and computer programming, are a strong merits for this employment.

We emphasize the importance of personal suitability for this position. You need to be strongly motivated to carry out the work in the project and contribute by coming up with new creative ideas.
This project requires that you are able to work independently and that you have excellent collaborative skills, as the project will occasionally require that you are able to cooperate with scientists
from other universities. You also need to be proficient in oral and written English in order to be able to interact and communicate efficiently with collaborators, and publish internationally.
You must be organized and systematic in your work. As an experienced researcher you will be expected to co-supervise the work of younger scientists and thus you need to have the skills necessary to
support young scientists and to actively contribute to a pleasant and productive work environment.

In this recruitment we will only consider candidates who, after an overall assessment, show the top qualifications and personal characteristics to perform and develop the project tasks and contribute
to a positive development of the group and its activities. Personal circumstances (for example parental leave) that are important for the validation of merits should also be described in the application.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the Universitys excellence and diversity.
We welcome applications from all sections of the community and from people of all backgrounds.

Pay: 25,000 SEK/month (exempted from tax)

Starting: No later than January 2022.

Type of employment: grant position, .i.e it is not a regular salary position, The salary of 25,000 SEK/month is exempt from tax and distributed three month at the time.
Period of appointment: Two years
Level of employment: 100 %

For further information about the position, or to submit your application (CV, letter of application and two letters of recommendation), please contact
Roland Lindh (e-mail: roland.lindh(0)kemi.uu.se, +46701679766).


Are you considering moving to Sweden to work at Uppsala University? If so, you will find much information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact the
International Faculty and Staff Services at ifss(0)uadm.uu.se.
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