Fwd: FW: [ISCB] PhD position in clinical prediction modeling
Tal Galili
From: is...@googlegroups.com [mailto:is...@googlegroups.com] On Behalf Of Ben Van Calster
Sent: Wednesday, May 11, 2016 1:38 AM
To: ISCB
Subject: [ISCB] PhD position in clinical prediction modeling
Dear all,
The KU Leuven (Belgium) is currently offering 1 PhD position (4 years) for methodological research on prediction models within the framework of an interdisciplinary international project. This project unites clinicians, statisticians, and engineers to roll out international multicenter studies on ovarian tumor diagnosis. This offers a great opportunity to combine methodological research on prediction modeling with a large scale clinical application.
Starting date: October 2016
Closing date for applications: 1st July 2016
Profile
- You have a Master’s degree in biomedical sciences, epidemiology, statistics, or in anoter subject (e.g. humanities) in combination with an additional statistical degree.
- You have a strong interest in clinical prediction, diagnosis, prognosis, and risk estimation for medical applications. The focus will not be on theoretical statistics, but will rather be on applied methods for risk prediction.
- You are fluent in English, both written and oral.
- You have knowledge of regression models (linear, logistic, time-to-event), study designs in medicine, statistical methods and interpretation.
- You possess skills to critically interpret and write research papers.
- You can work independently as well as in team, and are capable to work out research problems by yourself.
- You are capable to complete a doctoral thesis under appropriate guidance of your supervisors.
The research
The position is mainly situated within the framework of the International Ovarian Tumor Analysis (IOTA) group. This international collaboration was founded in 1999 at KU Leuven. The core aim of IOTA is the development and validation of prediction models that help clinicians to diagnose ovarian cancer prior to surgery. The ultimate aim is to develop tools that can be used to assist decisions about treatment. IOTA currently has data from over 6000 women with an ovarian tumor.
The project has a methodological and an applied component. Methodologically, we investigate methods to develop and validate prediction models. In doing so, we do not focus on theoretical statistical research, but rather on applied methodologies and how these can be improved. These methods are often, but not solely, illustrated on IOTA data. Various topics on development and validation of prediction models can be investigated, such as multicategory and ordinal outcomes, sample size, variable selection, calibration, multicenter datasets, clinical utility, dynamic updating, and shrinkage methods. In addition, you collaborate on the clinically oriented prediction studies from the IOTA group.
The research unit
The research will be conducted within the Department of Development and Regeneration at KU Leuven, in collaboration with methodologists and clinicians. Prof. Ben Van Calster and prof. Dirk Timmerman will supervise the research. They work together on ovarian cancer diagnosis and prediction of pregnancy outcomes since 2004. Ben Van Calster is working on risk prediction models. Dirk Timmerman has a longstanding experience on gynecological ultrasound and management of benign and malignant ovarian tumors. Further, we collaborate with risk prediction researchers from Erasmus MC (Rotterdam) as well as from other international institutions, and with gynecologists from e.g. Imperial College London and Lund University. This network provides a mix of disciplines such that methodological and clinical work can reinforce one another.
Offer
- Full-time employment of 1 year, starting 1 October 2016, which can be extended to a maximum of 4 years with the aim of defending a PhD thesis at the end of this period.
- You will join a diverse and interdisciplinary collaboration within the framework of a successful international consortium.
- You will be able to combine a challenging mix of methodological and clinical research.
- You will be able to collaborate internationally.
- You will be able to attend international conferences and write scientific papers.
Interested?
Interested candidates can apply for this position by sending their detailed CV, including a motivation letter and names of references, to ben.van...@med.kuleuven.be. For further information on this position, you can contact Ben Van Calster.
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Ben Van Calster
Assistant professor
Dept of Development and Regeneration, KU Leuven
Dept of Public Health, Erasmus MC, Rotterdam
Herestraat 49 box 805 | B3000 Leuven | Belgium
T +32 16 377 788 | F +32 16 344 205
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