ORGANISATION/COMPANYUiT The Arctic University of Norway
RESEARCH FIELDMedical sciences
RESEARCHER PROFILEEstablished Researcher (R3)
APPLICATION DEADLINE08/02/2019 23:00 - Europe/Brussels
LOCATIONNorway › Tromsø
TYPE OF CONTRACTTemporary
HOURS PER WEEK37,5
OFFER STARTING DATE01/06/2020
UiT The Arctic University of Norway has established «The Arctic MSCA-IF program» (uit.no/afu/arcticmsca) to recruit excellent young researchers planning to apply for a Marie Skƚodowska-Curie individual fellowship (MSCA-IF) to pursue a career in research. We invite applications from promising young researchers within the field of Biostatistics. The selected candidate will write a proposal for a 24-month MSCA-IF at UiT together with Dr. Tonje Braaten. This is an opportunity to accelerate your research career while living in the urban research city of Tromsø, uniquely located at the top of the world surrounded by some of Europe’s last pristine wild nature.
This call is one of 21 from pre-selected supervisors at UiT The Arctic University of Norway through the “Arctic MSCA-IF program” (uit.no/afu/arcticmsca/supervisors). Successful postdoc candidates will be invited to Tromsø (travel and accommodation expenses covered) for a three-day MSCA-IF symposium May 13-15, 2019. At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and learn how to write a successful MSCA-IF application. Together with the supervisor, the selected candidates will start to write their MSCA-IF application with deadline September 11th 2019.
In this call we search for talented, young researchers within the field of Biostatistics as presented by Dr. Braaten:
The Norwegian Women and Cancer Study is a population-based cohort study with repeated measures data on lifestyle, reproductive history, diet and other exposures. By linkage to national registers, endpoints as cancer incidence/survival and cause-specific mortality are frequently used as outcomes together with self-reported health and diseases.
The access to extensive longitudinal data combined with time-to-event outcomes has led to an increased focus on the corresponding statistical methodology within our research group, and we now want to initiate a project for a potential post doc position. The aim of the project is to compare selected models and methods for handling longitudinal/repeated data in time-to-event studies.
Traditionally, repeated measurements have most often been treated as time-varying variables in a Cox proportional hazards model, but a variety of alternative statistical models are also available for such a design. Joint models for longitudinal and survival data combine e.g. mixed models or generalized estimating equations with time-to-event outcomes, allowing for flexible parameterizations and random effects modeling. Bayesian dynamic modeling provides other alternatives including growth models, as do the family of G methods. Frailty models may also be applied for the analysis of repeated measurements in survival studies.
Data from the NOWAC study are available for analyses and assessment of model fit based on different criteria of goodness-of-fit. Simulation studies should be performed in order to provide valid comparisons.
As item non-response most often occurs in repeated measurements, handling of missing data within different models may be included as a part of the project.
More info here.
Please send your CV (max 3 pages) and describe a research project that will strengthen and complement the presented research (max 2 pages) to email@example.com by Feb 8th 2019. Mark your Application "Arctic MSCA".
The applicant must be an “Experienced Researcher”; he/she shall, by the time of the deadline (Sept 11th 2019), be in possession of a doctoral degree or have at least four years of full-time equivalent research experience. The ER can be of any nationality and shall not have spent more than 12 months in Norway in the three years immediately prior to September 11th 2019.
Web site for additional job details
Required Research Experiences
RESEARCH FIELDMedical sciences
YEARS OF RESEARCH EXPERIENCE4 - 10
REQUIRED EDUCATION LEVELBiological sciences: PhD or equivalentMedical sciences: PhD or equivalent
REQUIRED LANGUAGESENGLISH: Excellent
EURAXESS offer ID: 368802
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