PhD student in Clinical Metabolomics and Bioinformatics with a focus on Multiple Sclerosis - Hiring in process/Finished, not possible to apply

Duties/Project description: A PhD student position is available for highly motivated individuals with an interest in bioinformatics to join the laboratory of Assoc. Professor Kim Kultima at Uppsala University, Dept. of Medical Sciences, Clinical Chemistry. Dr. Kultimas research group has a focus on mass spectrometry-based methods in clinical metabolomics. 

Over the past decade, we have developed methodology enabling efficient large-scale metabolomics analysis using cloud-based solutions (PMID: 30851093 and 30535405). Using this methodology, we have in collaboration with MD. Assoc. Prof Joachim Burman been able to stratify disease types in multiple sclerosis to an extent that have not been possible previously (PMID: 30214633 and 30678351). 

A key objective of the project is to investigate population-based cohorts in multiple sclerosis and explore the long-term effects of stem-cell transplantation as a disease-modifying treatment of the disease using metabolomics methods. Our research is truly interdisciplinary and the overall goal is to develop methodologies that can be used for improved healthcare in multiple sclerosis. 

You will use existing bioinformatics and statistical methods for data analysis as well as develop your own novel methods and pipelines to process and analyse data. You will primarily work with data from large human population-based cohorts generated in our mass spectrometry laboratory.

Further information on the activity of the research groups can be found at: http://www.caramba.clinic and https://neuro.uu.se/research/research-groups/neurology/projects/autologous-hematopoietic-stem-cell-transplantation-for-ms/

Requirements:

• MSc degree in a relevant area (e.g. Bioinformatics, Biotechnology, Computer science, Computational biology, Biostatistics).
• Documented practical experience of scripting using R, and statistical and bioinformatics analyses of -omics data.
• Documented oral and written proficiency in English.
• Good recommendations from previous supervisors/teachers.
• Emphasis will also be given on personal qualities. The project requires that you can work independently and that you have good collaborative ability as the work will be run in close collaboration with other researchers.

Additional qualifications: Having previous experience in using HPC/cloud-based methods for processing and analysing large-scale data is considered of strong merit.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines http://regler.uu.se/?languageId=1

Application process: The application must contain: 1) a statement of intent describing yourself, your research interests and the motivation for why you want to doctorate, 2) a brief description of your education, 3) a CV, 4) a copy of your diploma and course grade, 5 ) names and contact information (address, e-mail address and telephone number) of at least two reference persons; 6) relevant publications (including theses).

The application should preferably be written in English.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

Salary: According to local agreement for PhD students.

Starting date: As soon as possible or as otherwise agreed.

Type of employment: Temporary position according to the Higher Education Ordinance chapter 5 § 7.

Scope of employment: 100 %

For further information about the position please contact: Assoc. Prof. Kim Kultima, kim.kultima@medsci.uu.se.

Please submit your application by 13 January 2020, UFV-PA 2019/4276

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.