PhD position in physiology, neurobiology, cell biology, Biotechnology, Norway (2015)

We are searching for a candidate with a background in experimental biology and with an interest in computational biology.

The fellowship will be for a period of 3 years, with no compulsory work or for a period of 4 years, with 25 % compulsory work (teaching responsibilities at the department) contingent on the qualifications of the candidate and the teaching needs of the department.

Starting date: 1 October 2015.

Applicants who finish their master study before 10 August 2015 are eligible.

No one can be appointed for more than one fixed-term period at the same institution.

Job/ project description:

Muscle- and neural cells are the major excitable and permanent tissues in the body, and in both cytoarchitectural features are important. The muscle cells are the largest cells in the body, and the project focuses on the logistical cell biological problems connected to serving the large cytoplasmic volume. In particular the candidate will focus on how cell nuclei and other organelles are distributed and regulated during changes in muscle mass. The experimental work will be the foundation of mathematical models for transport of macromolecules in the cells. The candidate will use time lapse in vivo fluorescent microscopy on intact animals.

Requirements/qualifications:

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Applicants must hold a Master’s degree or equivalent in physiology, neurobiology, cell biology or related disciplines. The candidate must have a strong background in biology, preferably with a demonstrated ability in performing complex animal experiments and/or microscopic imaging. The candidate should have a basic understanding of computational biology and be able to collaborate in cross-disciplinary teams with computational scientists. An interest in muscle plasticity is an advantage, but candidates with interests in general cell biology and neurobiology will also be considered.

We offer broad training possibilities in the required experimental methods within a stimulating academic environment. The research fellow should be able to work independently and structured, while at the same time engage in close collaborations.

When evaluating the applications, emphasis will be given to their academic and personal abilities to carry out the project. Applicants may be called for an interview.

The purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see here and here.

A good command of English is required.

Salary:

Position code 1017, Pay grade: 50 – 57 (NOK 430 500 – 483 700 per year)

The application must include:

• Application letter
• CV (summarizing education, positions and academic work – scientific publications)
• Copies of educational certificates, transcript of records and letters of recommendation
• Documentation of English proficiency
  http://www.mn.uio.no/english/research/doctoral-degree-and-career/regulations/proficiency-requirements.html
• List of publications and academic work that the applicant wishes to be considered by the evaluation committee
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

Foreign applicants are advised to attach an explanation of their University’s grading system. Please remember that all documents should be in English or a Scandinavian language.

In accordance with the University of Oslo’s equal opportunities policy, we invite applications from all interested individuals regardless of gender or ethnicity.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.