Fixed-term position for a doctoral researcher or research assistant in statistical and computational microbial ecology
The University of Turku is a world-class multidisciplinary research university which offers interesting challenges and a unique vantage point to national and international research and education.
The Department of Computing at the University of Turku is opening a full-time position for a doctoral researcher or research assistant in statistical and computational microbial ecology. The starting date is 1.3.2023 or later, to be set by mutual agreement. The fixed-term contract will be made for 24 months after which a possible continuation is agreed upon separately.
The position focuses on the development of Bayesian probabilistic models for the analysis of spatial and temporal microbial ‘omic data from an ecological perspective. The project aims at advancing our understanding of the assembly and functioning of microbial communities through applications of the developed approaches to environmental and human microbiome data. There is much flexibility to adapt the project according to the applicant's interests.
The position of doctoral researcher aims at a doctoral degree, and the candidate for the position of research assistant is also expected to show an interest for postgraduate studies.
The work will take place in a multidisciplinary and international research group at the Department of Computing, University of Turku with expertise in microbial ecology, bioinformatics and probabilistic machine learning (group's web page). The researcher will benefit from the group's collaboration networks across Europe, with possibilities for mobility, and from excellent high-performance computing infrastructure (CSC). The project will be supervised by Leo Lahti (Associate Professor) and Guilhem Sommeria-Klein (Postdoctoral Research Fellow).
The applicant should have a background in a quantitative field ( e.g. physics, mathematics, computer science, statistics, ecology, bioinformatics, etc.), a drive to develop independent scientific thinking, good collaboration skills, and motivation to work in a multidisciplinary environment. An excellent command of English (both written and spoken) is essential. Prior experience in scientific programming ( e.g. R, Julia) and mathematical modelling is highly appreciated.
The formal qualifications required for the position are specified in the Turku University Rules of Procedure. A person selected for a doctoral researcher position should have completed a Master of Science degree or equivalent by the end of the application period, and will first have to formally obtain an active study right at the University of Turku. For a candidate who does not fulfill these conditions, the job title will be research assistant, with the possibility of transitioning to a doctoral researcher position thereafter. This concerns for instance candidates who are close to having completed all coursework for a Master of Science degree, in which case the position can be combined with a Master's thesis project in our group.
A six-month trial period applies to the position.
The salary is determined in accordance with the university salary system for teaching and research personnel. For a doctoral researcher , the salary baseline is at the levels 2-4 of the job demands chart, which is 2,108.40–2,628.85 euros per month before taxes. For a research assistant , the salary baseline is at the level 1, which is 1,917.09 euros per month. In either case, a personal work performance of 6-50% of that baseline level will be paid in addition.
Applications should be submitted at the latest on Thursday, 26/01 / 2023 ( by 23:59) using the electronic application form of the University of Turku at the following address: https: // www. utu.fi/careers
The link to the application system is at the beginning of this announcement ("Apply for the job"). Only applications sent via the electronic application form will be accepted.
The application should be written in English and include the following:
For further information about the position, please contact Guilhem Sommeria- Klein,email@example.com
Regarding the recruitment process, please contact HR Specialist Nina Reini, firstname.lastname@example.org.
The group's web pages: https: // datascience.utu.fi/
Apply for the job Go back