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A doctorate usually means that an individual is qualified to teach at a college level or to work in a specific field of work. There are two major types of doctoral degrees; a research-oriented degree, and a professional doctoral degree. Doctoral degrees are sometimes referred to as terminal degrees, which means that a final degree is available in a graduate school for students who wish it.
Swiss TPH offers PhD students registered at the University of Basel a broad range of research areas. Swiss TPH’s academic faculty supervises PhD students in the fields of medical parasitology and infection biology, public health and epidemiology and medical anthropology.
Swiss TPH has also contributed substantially to the MD/PhD programme development through its activities with the Swiss School of Public Health (SSPH+) and the University of Basel. In addition, Swiss TPH is on the board of the PhD Program Health Sciences (PPHS) of the Medical Faculty of Basel. In collaboration with ETH Zurich, the inter-university PhD programme in infection biology (IPPIB) was successfully launched in 2014.
The total number of doctoral students has steadily increased and there are currently over 180 PhD students supervised by Swiss TPH staff. Every year, around 45 young researchers from all over the world receive the doctoral title. A detailed description of all steps of undertaking a PhD can be found in the Student Handbook.
PhD Study Areas
Swiss TPH PhD students are accepted and registered in a range of PhD study areas (Promotionsfächer) offered by University Basel.
- The Faculty of Science offers PhDs in the field of microbiology, zoology, cell biology and epidemiology.
- The Faculty of Medicine offers several PhD studies related in particular in the fields of clinical research, epidemiology/public health and drug development.
- The Interdisciplinary PhD in Epidemiology is open for students from a variety of disciplines.
- The Seminar of Social Anthropology (Faculty of Arts and Humanities) offers PhD studies in the field of Medical Anthropology.
The PhD program in Epidemiology and Biostatistics of the University of Zurich is one of the 17 programs of the Life Science Zurich Graduate School offering a dynamic and stimulating international research environment. The overall goal is to train PhD students in designing, conducting and analyzing research studies in biomedicine. Depending on the specific research area students are expected to acquire core competencies in epidemiology or biostatistics.
The duration of the program is approximately 3-4 years. Graduates will obtain their Ph.D. from either the University of Zurich or the ETH Zurich. The program language is English. If you are interested in the methodological foundations of clinical and population-based biomedical research and would like to join our Ph.D. program
Structured PhD Programmes
Although not required, many Swiss TPH PhD students profit from the additional enrollment in a structured PhD programmes. Most of these programmes are organized externally. Rules, requirements and benefits – such as access to free courses and other fundings – vary across programmes. All have though in common that apart of the 12 ECTS of course work required from all PhD students at Uni Basel, additional ECTS must be achieved.
Training Certifiacte of the IGS North-South
Apart from the structured programs, some Swiss TPH PhD students may enroll in the 12-ECTS training certificate of the International Graduate School (IGS) North-South
Courses and Seasonal Schools
Our PhD students can profit from many courses and seasonal schools, offered by any of the above mentioned programs, by the Swiss School of Public Health (SSPH+) partners, by University Basel or by many other providers. PhD students and supervisors discuss together the course work to be done during the PhD studies. While those need to be in line with the rules of University Basel or the additional structured PhD programs, supervisors tailor the schedule to the needs of the students. PhD students should also train transferable skills which are – among others – offered by University Basel.
Focal area of teaching and research
The main goals of the M Sc course in epidemiology are the following:
- To understand the issues raised by health problems at individual and population level, and the standard methods and measures to describe them.
- To understand the key concepts in epidemiology and biostatistics, and their interrelationships.
- To have an in-depth understanding of the standard methods and study designs in epidemiologic research.
- To be able to plan and execute independently basic epidemiologic studies, to analyze and interpret them, and to report them orally and in writing.
- To be able to understand research questions and studies in the field of epidemiology, to place them in a wider public health concept, and to review them critically.
Course structure
The Master of Science degree is a postgraduate degree that requires a successfully completed Bachelor’s program. The program awards 120 ECTS credits in total. The Specialized Master’s degree program Epidemiology is a so called mono-course consisting of only one core subject. Supervised practical work over the course of one year constitutes the core of the studies. One ECTS credit point roughly equals 30 hours of study.
| Master of Science (120 ECTS) |
|---|
| Epidemiology 120 ECTS |
| Mono-courses |
Combination of subjects
The degree programs at the Faculty of Science are generally mono-courses with the possible addition of an in-depth subject and an elective subject. The Specialized Master’s degree program Epidemiology does include an elective subject.
Career opportunities
Holders of a Master of Science in Epidemiology have good possibilities to work in academia, for governmental health departments, for international organizations, for NGOs in Switzerland or elsewhere, or alternatively in the health industry, including drug companies. Work opportunities exist both in developing and in industrialized countries, working on both chronic and infectious diseases.
Fully Funded PhD student in Epidemiology
The Institute of Social and Preventive Medicine (ISPM) at University of Bern performs research in a range of disciplines relevant to public health (www.ispm.ch). Groups cut across divisions, facilitating an interdisciplinary approach to research in the fields of clinical epidemiology, social and behavioral health, biostatistics, and international and environmental health.
The Evidence Synthesis Methods Research Group focuses on methods for synthesizing evidence from studies about the efficacy and safety of healthcare interventions.
The Evidence Synthesis Methods Research Group is looking for a Fully Funded PhD scholar to work on the project “What works best? Methods for ranking competing treatments in network meta-analysis” funded by the Swiss National Science Foundation. The project entails the development and appraisal of methods to synthesize evidence from clinical studies and rank medical treatments according to their efficacy, safety and acceptability.
The most critical question raised by patients and clinicians at the point of care is “what is the drug of choice for the given condition?”. To answer such a question, researchers perform a comparative effectiveness review by collecting and appraising all studies that compare treatments for the same disease and synthesize their data using a statistical technique, network meta-analysis. While clinicians and guideline developers unanimously agree that a treatment hierarchy is essential for public health decisions, methodologists currently debate several issues underpinning the statistical methods to obtain a treatment ranking from in network meta-analysis. The project aims to a) extend the existing statistical methodology in a number of ways, e.g. by developing models that produce treatment hierarchies for multiple health outcomes b) provide methods that appraise the robustness of the treatment hierarchy in the presence of bias in the data. Within a multidisciplinary and highly motivated environment, the post holder will have the opportunity to gain vast experience of working on exciting theoretical and applied projects and collaborate with leading international researchers.
Requirements:
- A university degree (MSc or equivalent) in statistics or another quantitative discipline such as Applied Mathematics, Computational Biology, Mathematical Physics or Computer Science
- Programming skills in a high-level language such as R or Python
- Fluency in English both written and oral
- Aptitude with writing and publishing manuscripts
- Previous experience with Bayesian methodology and meta-analysis is desirable
Institute Name: The Institute of Social and Preventive Medicine (ISPM) – University of BernDegree/Course: PhDCountry: SwitzerlandLast Date:
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