This postdoctoral researcher position aims to improve the design of
Oligonucleotide-based drugs using computational chemistry, biophysical
simulation and AI methods. It is placed at the department of Computer Science
and Engineering (CSE) at Chalmers/GU and is one of two postdoctoral
positions in a joint project with Pharmacology at GU. The project is funded in
a collaboration between the two largest research programs in Sweden, the
Wallenberg AI, Autonomous Systems and Software Program (WASP) and the
SciLifeLab and Wallenberg National Program for Data-Driven Life Science
(DDLS), with the ultimate goal of solving ground-breaking research questions
Information about project
The two postdoctoral researchers will closely collaborate and will be
jointly supervised by both PIs, Alexander Schliep (CSE, University of
Gothenburg Chalmers, https: // schlieplab.org) and Pär Matsson
(Pharmacology, University of Gothenburg,
https: // www. gu.se/en/research/cellular-and-molecular-pharmacokinetics), and
spend time in both labs. Close ties to the OligoNova Hub at the University of
Gothenburg (part of SciLifeLab's Drug Discovery and Development platform)
and the considerable research activities at AstraZeneca R&D Gothenburg,
provide a vibrant research environment in the exciting new area of
computational design of oligonucleotide therapeutics. The PIs have extensive
expertise in machine learning, AI for drug design, predicting oligonucleotide
hybridization energies, as well as modeling and simulation of cellular
pharmacology, measuring cellular drug disposition, and quantification of
binding kinetics and –energetics of small-molecule and oligonucleotide
therapeutics. Additionally, the project involves collaboration with Rula
Zain's research group (Karolinska Institutet) to identify clinically
relevant target genes in rare diseases and evaluate predicted oligonucleotide
candidates in in vitro and in vivo models. Consequently, the postdoctoral
position will position candidates uniquely to develop independent research
programs and pursue distinguished careers in academia or industry.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden's
largest individual research program ever, a major national initiative for
strategically motivated basic research, education and faculty recruitment. The
program addresses research on artificial intelligence and autonomous systems
acting in collaboration with humans, adapting to their environment through
sensors, information and knowledge, and forming intelligent systems-of-
systems. The vision of WASP is excellent research and competence in artificial
intelligence, autonomous systems and software for the benefit of Swedish
industry. Read more: https: // wasp- sweden.org/
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science
(DDLS) is a 12-year initiative that focuses on data-driven research, within
fields essential for improving the people ́s lives, detecting and treating
diseases, protecting biodiversity and creating sustainability. The programme
will train the next generation of life scientists and create a strong
computational and data science base. The program aims to strengthen national
collaborations between universities, bridge the research communities of life
sciences and data sciences, and create partnerships with industry, healthcare
and other national and international actors. Read more:
https: // www. scilifelab.se/data-driven.
The postdoctoral researcher will develop and apply machine learning and
bioinformatics methods to study the impact of chemical modification on the
binding of therapeutic oligonucleotides to target nucleotide sequences and to
cellular proteins. The development will be closely coordinated with
complementary work on the molecular simulation and/or computational chemistry
Full-time temporary employment. The employment is limited (temporary) for
Applicants must have a quantitative background with a doctorate, PhD or
equivalent degree, in bioinformatics, computer science, mathematics,
biophysics, biology or chemistry, with prior machine learning experience
demonstrated through published research results. The degree should generally
not be older than three years.
Excellent collaborative skills and oral as well as written proficiency in
English are mandatory. Experience of studying nucleotide–nucleotide and/or
nucleotide–protein interactions using bioinformatics or machine learning
methods is highly meriting. The working language is English. Knowledge of
Swedish is not a prerequisite for consideration.
The position requires sound verbal and written communication skills in
English. Swedish is not a requirement.
We offer Chalmers offers a cultivating and inspiring working environment in the
coastal city of Gothenburg.
Read more about working at Chalmers and our benefits for employees. Chalmers
offers Swedish courses.
Chalmers aims to actively improve our gender balance. We work broadly with
equality projects, for example the GENIE Initiative on gender equality for
excellence. Equality and diversity are substantial foundations in all
activities at Chalmers.
The application should be marked with Ref 20220005 and written in English.
The application should be sent electronically and be attached as pdf-files, as
CV: (Please name the document as: CV, Surname, Ref. number)
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family
name, Ref. number)
1-3 pages where you: • Introduce yourself • Describe your previous research fields and main research results • Describe your future goals and future research focus
• Attested copies of completed education, grades and other certificates.
Please use the button at the foot of the page to reach the application form.
The files may be compressed (zipped).
Application deadline: 10th February, 2022
For questions, please contact:
Dr. Alexander Schliep, DS&AI Division, email@example.com
Chalmers declines to consider all offers of further announcement
publishing or other types of support for the recruiting process in connection
with this position.
Information about the department
The Department of Computer Science and Engineering is a joint department at
Chalmers University of Technology and the University of Gothenburg, with
activities on two campuses in the city of Gothenburg. The department has
around 270 employees from over 30 countries. Our research has a wide span,
from theoretical foundations to applied systems development. We provide high
quality education at Bachelor's, Master's and graduate levels, offering over
120 courses each year. We also have extensive national and international
collaborations with academia, industry and society.
The Data Science & AI division within CSE engages in research and education in
this growing area, with a strong focus in biomedical applications and drug
design. For more information about the department, see
https: // www. chalmers.se/cse/en, and for the DSAI division, see
https: // www. chalmers.se/en/departments/cse/organisation/dsai/Pages/default.aspx
Our aim is to actively improve our gender balance in both our department and
division. We therefore strongly encourage female applicants for our positions.
As an employee at Chalmers and the Department of Computer Science and
Engineering, you are given the opportunity to contribute to our active work
within the field of equality and diversity. We are working broadly with
equality projects, for example the GENIE Initiative on gender equality for
excellence. For more information,visit our website.
Chalmers University of Technology conducts research and education in
engineering sciences, architecture, technology-related mathematical sciences,
natural and nautical sciences, working in close collaboration with industry
and society. The strategy for scientific excellence focuses on our six Areas
of Advance; Energy, Health Engineering, Information and Communication
Technology, Materials Science, Production and Transport. The aim is to make an
active contribution to a sustainable future using the basic sciences as a
foundation and innovation and entrepreneurship as the central driving forces.
Chalmers has around 11,000 students and 3,000 employees. New knowledge and
improved technology have characterised Chalmers since its foundation in 1829,
completely in accordance with the will of William Chalmers and his motto: