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Postdoctoral Research Fellow position within biostatistics – University of Bergen, Norway, 2022

Norway

At the Department of Mathematics, there is a vacancy for a postdoctoral research fellow position within the statistics group at University of Bergen, Norway, 2022

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General Info

Deadline to Apply: Expired
Position: Postdoctoral Research Fellow
Fellowship/Scholarship:
No. of Positions: 1
Eligibility (Gender):
Eligibile Nationals: All Nationals
Research Field: , ,
Joining Date: ASAP
Contract Period: 3 Years

Workplace:
Department of Mathematics

University of Bergen (UiB), Norway
,

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Qualification Details

  • Applicants must hold a Norwegian PhD or an equivalent degree within statistics, applied maths, or comparable topic. PhD-students may apply if defence of the PhD-thesis is completed by August 1, 2022. It is a condition of employment that the PhD has been awarded.
  • Experience with constructing statistical models, inferring their parameters given data, and producing publishable code is a requirement.
  • Experience with Markov models, hidden Markov models, Bayesian model selection approaches (including RJMCMC), and working with genetic data are an advantag.
  • Applicants must be able to work independently and in a structured manner, and have the ability to cooperate with others.
  • Applicants must have excellent skills in oral and written English.

Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also count when evaluating the candidates.

Special requirements for the position: the project will involve close collaboration with clinicians, including the opportunity to experience the clinical lab environment. The ability to communicate with collaborators from different disciplinary backgrounds is an advantage.

Responsibilities/Job Description

Antimicrobial resistance (AMR), where disease-causing bacteria evolve resistance to the drugs we use to treat infections, is a huge and growing global health concern. Designing appropriate strategies to combat AMR requires understanding of how this evolution occurs. Recent work at the University of Bergen has developed statistical inference approaches to learn and predict the evolutionary pathways of AMR emergence.

This project will develop, generalise, and apply these approaches to genetic and phenotype data from clinical collaborators and the literature to make actionable predictions about AMR emergence, and its determinant factors, worldwide. A central target is to compare AMR evolution between countries and demographics, to better understand the diversity of behaviours and how best to design specific treatments across the world. The project will develop and use statistical approaches based around Markov and hidden Markov models, in conjunction with tools for parameter inference and model selection, to learn the dynamics by which genetic and phenotypic AMR traits evolve in bacteria.

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

  • a brief account of the applicant's research interests and motivation for applying for the position.
  • the names and contact information for two referees. One of these should be the main advisor from the PhD programme.
  • CV
  • Transcripts and diplomas. If you have not yet completed your PhD degree, please submit a statement from your institution confirming the expected date of award of your degree. Your PhD degree must be documented with transcripts and/or diploma, alternatively a confirmation from your institution on completed degree, by August 1, 2022.
  • relevant certificates/references
  • list of any works of a scientific nature (publication list)
  • publications (as applicable)

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at JobbNorge

About the

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About the Employer: University of Bergen (UiB), Norway

Note or Other details

We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply.

We can offer

  • A good and professionally stimulating working environment
  • Salary at pay grade 62 (code 1352 / pay range 24, alternative 6) according to the state salary scale upon appointment. This constitutes a gross annual salary of NOK 563 900. Further promotions are made according to length of service. For particularly highly qualified applicants, a higher salary may be considered.
  • Enrolment in the Norwegian Public Service Pension Fund
  • Good welfare benefits

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Contact details

Prof. Iain Johnston, Department of Mathematics, [email protected]

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