PhD student in Computational Mathematics
The group led by Kristoffer Sahlin primarily works on problems in the area of Computational Biology. Computational Biology can be seen as an interdisciplinary research field between Computer Science, Statistics, Mathematics, and Biology. Researchers in Computational Biology typically study and design algorithms, data structures, and statistical models to extract information or gain insights from large biological datasets.
DNA and RNA play an essential role in determining the state and condition of cells and tissue and, therefore, hold information to study diseases, traits, and evolution. We can now access DNA and RNA sequencing data at a large scale and low cost. However, the computational methods to synthesize information from the data could be improved in many applications. It is important that the information is accurate as the information is used by biological and biomedical researchers to make key contributions towards, e.g., finding cures to diseases. The successful applicant will work with designing accurate and efficient algorithms for common bioinformatic analyses of large sequencing datasets.
We are looking o hire a Ph.D. student who is ambitious and highly motivated by problem-solving. The applicant is expected to have, or be near completion, of a Master's degree (or equivalent knowledge) in a relevant subject such as computer science, mathematics, mathematical statistics, or related field. As a lot of the day-to-day work involves programming, the applicant should have proficiency and an interest in programming. Bioinformatic/biological familiarity or experience with sequencing data is an advantage but is not required.
The applicant can expect to develop into an interdisciplinary and independent researcher with knowledge in algorithm design and statistical methods, particularly for large-scale life science and biology datasets. The position is available at the Department of Mathematics at Stockholm University in the Division of Computational Mathematics. The group of Kristoffer Sahlin is located at the interdisciplinary research facility SciLifeLab in proximity to the campus of Karolinska Institute, where the working atmosphere is international with English as the working language.
In order to meet the general entry requirements, the applicant must have completed a second-cycle degree, completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.
In order to meet the special eligibility requirements, the applicant must have completed courses equivalent to at least 60 credits in a mathematical subject and at least 30 credits in either numerical analysis or computer science.
The qualification requirements must be met by the deadline for applications.
The selection among the eligible candidates will be based on their capacity to benefit from the training. The selection of candidates is based upon the earlier studies, grades, quality of theses, references, the written application and, for a smaller group of selected candidates, interviews.
Admission Regulations for Doctoral Studies at Stockholm University are available at: www.su.se/rules and regulations.
Terms of employment
The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study.
Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.
Please note that admission decisions cannot be appealed.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
For more information, please contact director of PhD studies, Chun-Biu Li, email@example.com or the supervisors of the projects, Kristoffer Sahlin firstname.lastname@example.org, or Lars Arvestad, email@example.com.