Ref PAR 2021/439
The University of Gothenburg tackles society’s challenges with diverse knowledge. 53 500 students and 6 500 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.
Research and graduate education at the department of chemistry and molecular biology comprises a wide scientific field from the atomic and molecular levels all the way through cells to intact organisms. Much of the phenomena studied here impact on our natural environment and living systems. We participate in undergraduate programs in chemistry, molecular biology, medicinal chemistry, biology, marine sciences, and pharmacy.
We are seeking a PhD student to join our new group at the Department of Chemistry and Molecular Biology & the Wallenberg Centre for Molecular and Translational Medicine of the University of Gothenburg, Sweden.
Glycans or complex carbohydrates constitute the capsules of bacteria, fungi, as well as plant cells, and adorn all kinds of other biomolecules such as proteins, lipids, or RNA. The specific glycan sequence that is physically attached to a protein fundamentally alters its properties and capabilities, fine-tuning stability, structure, and function. We recently demonstrated that – using machine learning – this rich information can be leveraged to predict glycan properties and, in turn, characteristics of the organisms exhibiting these glycans, opening up the potential of glycobiology to facilitate a new understanding of biology and enable future biomedical therapies.
In this project, we will establish a platform that predicts glycan repertoires of biological systems and analyzes glycan functions. This requires advances in state-of-the-art machine learning, bioinformatics, as well as systems biology and will transform glycobiology into a true high-throughput discipline. Unraveling the intricate role that glycans play in biology will not only be made possible by this feat but will be funneled into leveraging their potential for biomedical purposes.
The successful candidate will design, develop, and apply algorithms derived from state-of-the-art machine learning and/or bioinformatics to leverage systems biology data to predict glycan repertoires of several biological systems and leverage them to obtain biological insights. Work assignments include, but are not limited to, the processing and analysis of systems biology data (e.g., genomics/transcriptomics), algorithm development, and the construction as well as analysis of relevant models. The project will require extensive feedback with experimental data collection, so an adequate understanding of the necessary techniques and effective communication with the responsible people will be crucial for the success of the project.
To be eligible for third-cycle studies, the applicant must meet both the general and specific entry requirements: A person meets the general entry requirements for third-cycle courses and study programs if he or she:
To meet the specific entry requirements for third-cycle studies, applicants must: (i) have a second-cycle (advanced-level) degree in a relevant* subject area in the natural sciences, or (ii) have completed studies for at least 60 higher education credits at a second-cycle level in relevant subject areas in the natural sciences, or (iii) have completed a corresponding program of relevance to the planned third-cycle program, in Sweden or in another country, or have equivalent qualifications.
*Relevant for the planned third-cycle education
The specific entry requirements also include an acceptable command of spoken and written English. Guidelines for assessing English proficiency may include a minimum score of 550 on the TOEFL test (or 213 on the TOEFL-CBT, or 79 on the TOEFL-iBT).
In selecting between applicants who meet the general and specific entry requirements, their ability to benefit from third-cycle studies shall be taken into account. The assessment shall attach particular importance to documented qualifications for:
- experience with computational work
- working knowledge of Python, R, or another programming language relevant for computational biology
Type of employment: Fixed-term employment, four years full time
Extent: 100 %
Location: Department of Chemistry and Molecular Biology, Gothenburg
First day of employment: As soon as possible based on agreement
Regulations for the evaluation of qualifications for education on a doctoral level are given in SFS 1993:100.
A new employment as a PhD student applies for a maximum of one year. The Appointment may be prolonged for up to two years at a time. The total employment period may not be longer than the equivalent of four years of full time doctoral studies.
University applies local agreement on salaries of graduate students.
Daniel Bojar: firstname.lastname@example.org
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In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.
You must include the following, in PDF format
If your degree is from a university outside of Sweden, check what you need to submit at https://www.universityadmissions.se/en/All-you-need-to-know1/Applying-for-studies/Documenting-your-eligibility-for-studies/Instructions-for-Masters-applicants/Specific-requirements-for-my-country1/ where you can also see what you need to submit in order to fulfill the English language requirement.
Closing date: 2021-10-01
In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.Continue reading
|Title||PhD in Computational Biology and Bioinformatics|
|Employer||University of Gothenburg|
|Job location||Vasagatan 33, 411 37 Göteborg|
|Published||September 9, 2021|
|Application deadline||October 1, 2021|
|Job types||PhD  |
|Fields||Algorithms,   Bioinformatics,   Systems Biology,   Computational Biology,   Machine Learning  |