Doctoral student position with a doctoral grant in biostatistics
Karolinska Institutet, Institutet för miljömedicin (IMM)
Institutet för miljömedicin (IMM) är en institution vid Karolinska Institutet och ett tvärvetenskapligt forskningsinstitut inom det brett definierade området miljömedicin. IMM bedriver avancerad forskning inom miljö- och yrkesmedicin, toxikologi, fysiologi, epidemiologi och biostatistik med fokus på att klarlägga hur miljö- och livsstilsfaktorer påverkar vår hälsa och vilket samspel med gener som finns. IMM är också ett nationellt expertorgan inom miljömedicin och IMMs forskare är vetenskapliga rådgivare åt myndigheter och andra beslutsfattare samt medverkar i nationella och internationella expertgrupper.
Division
The Unit of Biostatistics fosters collaboration with researchers in epidemiology, clinical research, and biological, social, and basic sciences. The research interests span a wide range that includes quantile inference, computational statistics, meta-analysis, survival data analysis, genetic statistics, longitudinal data analysis, causal inference, and asymptotic inference. The unit is actively involved in the development and application of statistical methods that may help improve each and every step and thus contribute toward solving health problems. The unit also strives to disseminate knowledge and culture of biostatistics domestically and internationally. Post-graduate research supervision, teaching, and presentations to statistical and non-statistical audiences are an essential part of its mission.
Duties
An ongoing project, BREATH (Beijing Respiratory Effects And Traffic-related Pollutants Study), investigates spatiotemporal relationship between multiple air pollutants and respiratory diseases in post-Olympics Beijing. The project is an international collaboration project comprising data from the Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and the Peking Union Medical College. Applications are invited for a PhD student position in biostatistics to work in the development and application of statistical methods for spatiotemporal analysis and quantile inference. The results will be published in international scientific journals.
Entry requirements
To meet the general entry requirements for third-cycle studies, an applicant must have
1. taken a second-cycle qualification
2. completed course requirements for at least 240 higher education credits, including at least 60 second-cycle higher education credits, or
3. otherwise acquired essentially the same knowledge in or outside Sweden.
An applicant who met the general entry requirements for third-cycle studies before 1 November 2007 is regarded as having met the current requirements, though no longer than until the end of October 2015.
A selection will be made among qualified applicants on the basis of the ability to benefit from third-cycle studies. Karolinska Institutet uses the following bases of assessment:
- Documented subject knowledge of relevance to the area of research
- Analytical skill
- Other documented knowledge or experience that may be relevant to third-cycle studies in the subject
We are interested in qualified applicants with different backgrounds within mathematics, bioinformatics, epidemiology, public health and health economics, preferably in combination with statistics. It is an advantage if you know any statistical software program as SAS, Stata or R, and have experience of large databases. Previous experience from data management, statistical modeling, cancer epidemiology or article writing are considered as strengths. You should be able to work in a group as well as independently. Excellent skills in verbal and written English are required. Swedish or Chinese skills are welcome but not mandatory.
The qualifications of the applicants will be evaluated on an overall basis.
A decision concerning the doctoral student position will be made after admission to third-cycle studies. For additional information about third-cycle studies at Karolinska Institutet, see
http://www.ki.se/doctoral. Application process
An application must contain the following documents in English:
* A personal letter and curriculum vitae
* A copy of a degree certificate and associated certificates
* A copy of a degree project and any previous publications
The application is to be submitted on the NetRecruiter system.
https://ki.mynetworkglobal.com/what:job/jobID:24244/where:4/ 
