Postdoc in Artificial Intelligence for Science

Information about the research
The King group is recruiting a researcher to help develop AI/machine learning methods for ‘Genesis’, a Robot Scientist designed to transform the practice of yeast (S. cerevisiae) systems biology. The position offers a unique opportunity for a computational scientist with machine learning background to work at the interface between computer science and biology driven by large scale data.

A Robot Scientist is an autonomous laboratory automation system that applies artificial intelligence to automate the discovery of scientific knowledge through cycles of experimentation. AI/machine learning methods are used to form novel hypotheses, to select efficient (time/money) experiments, to control laboratory automation, and to decide on results.

When complete Genesis will have 10,000 micro-chemostats where AI designed experiments will be executed. This will enable 10,000 parallel cycles of hypothesis-led experiments to be executed. No previous attempts has been made to automate so much science.

About the Division of Systems and Synthetic Biology 
The Division of Systems and Synthetic Biology at the Chalmers University of Technology is one of the world leading research environments in systems and synthetic biology. Our research interests involve a wide range of activities from understanding the fundamental operational principles of metabolism and studies of metabolic diseases, to highly applied research directed towards development of new cell factories, e.g. used as next generation drug discovery and production platforms.

-The details of the departmental research activities may be found here.

Major responsibilities
Your major responsibility as postdoc is to perform your own research in a research group. Developing, running, and maintaining AI/machine learning software for Robot Scientist Genesis. You will collabroate with ther team members - sharing and integration of data.
The position also includes teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious for future research duties within academia as well as industry/the public sector.

Position summary
Full-time temporary employment. The position is limited to a maximum of two years (1+1).

Qualifications
To qualify for the position of postdoc, you must have a doctoral degree in a relevant field; AI/machine learning/computational statistics. The degree should generally not be older than three years. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Application procedure
The application should be marked with Ref 20210123 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document as: CV, Surname, Ref. number) including:
• 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

Other documents:
• 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: 10 April 2021

For questions, please contact:
Prof. Ross D. King, rossk@chalmers.se

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



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: Avancez!