PhD position in Data-Driven Life Science
Linköpings universitet / Högskolejobb / Linköping
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For more information about the vacancy
https://liu.se/en/work-at-liu/vacancies/24496PhD position in Data-Driven Life Science - Exploring Biomolecular Structures and Dynamics with AI and AlphaFold.
Work assignments
We are focused on understanding biomolecular structures, their dynamics, and ensembles at the molecular level. As part of our team, you will develop computational approaches to analyze and predict protein structures, incorporating experimental data to enhance our models. A key component of this project is utilizing AI, particularly AlphaFold, to optimize and enhance our structural predictions and understand the true dynamic nature of biomolecules.
As a PhD candidate, you will:
• Utilize computational methods, AI techniques, and tools like AlphaFold to analyze and model biomolecular structures, dynamics, and ensembles.
• Expand on our work that achieved top-1 rank in CASP15 and improve its performance using sampling techniques.
• Develop algorithms and software for predicting protein structures, protein-protein interactions, protein-ligand binding, and integrating experimental data to refine models.
• Collaborate with interdisciplinary teams of experts in computational biology, biophysics, biochemistry, structural biology, and artificial intelligence.
• Share your research findings through scientific publications and conferences.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
Qualifications
You have graduated at Master's level in a relevant scientific discipline, or completed courses with a minimum of 240 credits in at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.
If you can say yes to some of the below points it is highly beneficial:
• Proficiency in programming languages, preferably Python.
• Knowledge of AI and machine learning techniques
• Experience in the AI application to structural bioinformatics or related areas.
• Familiarity with the AlphaFold platform and its applications in protein structure prediction.
• Experience of BASH and command line.
• Background in structural biology, molecular modeling, protein dynamics, and understanding of ensembles.
• Experience with molecular modeling and simulation software, such as GROMACS, NAMD, or Rosetta.
Scientific curiosity and the ability to think independently are essential personal qualities in a candidate. You will be expected to engage with colleagues and cooperate in supporting the activities of the research group. You must also have excellent oral and written communication skills in English. You should enjoy working as part of a team, and be willing to learn from your co-workers and to share your knowledge and experience with them in return.
You should not hesitate to get in touch if you have questions about an application, for example regarding eligibility/suitability for the role (see contact details below).
The workplace
The position is placed at the Bioinformatics Division, IFM (Department of Physics, Chemistry, and Biology) at Linköping University.
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. During 2024 the DDLS Research School will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see
https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program!
The employment
When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at.
The employment has a duration of four years' full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.
Starting date by agreement.
Salary and employment benefits
The university applies individual salaries.
More information about employee benefits is available
https://liu.se/en/work-at-liu/employee-benefits. Union representatives
Information about union representatives, see
https://liu.se/en/work-at-liu/help-for-applicants.Application procedure
Your application must be received no later than June 16th 2024.
We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.
We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.
Ersättning The salary of PhD students is determined according to a locally negotiated salary progression.
Så ansöker du Sista dag att ansöka är 2024-06-16
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Linköpings Universitet (org.nr 202100-3096),
https://www.liu.se/ Kontakt Professor
Björn Wallner
bjorn.wallner@liu.se +46 13 28 27 59 Jobbnummer 8684865
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