biostatistics phd programs germany

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Doctoral degree in Public Health or PhD in Health Data Sciences

In the area of Public Health, you have different options:

• PhD within the framework of the structured PhD program Health Data Sciences
• Individual doctorate (Dr. med, Dr. rer. medic.), supervised by IPH staff
• PhD (Dr. PH) in the doctoral program of the TU Berlin, department of Management in Healthcare

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• Doctorates and PhD

Doctorates and PhD Programs

PhD Health Data Sciences The newly established PhD program Health Data Sciences is designed for qualified young scientists who would like to deepen their methodological knowledge in the fields of biostatistics, epidemiology, meta-research, population health science, or public health and further expand their competence in research and teaching. Information on the structured PhD program in Health Data Sciences (HDS) can be found on the website . 

Individual doctorate Students studying medicine at Charité - Universitätsmedizin Berlin or at another institution can apply for a doctorate at the IPH. Unfortunately, however, our staff capacities for supervising doctoral students at the IPH are limited. Publications in scientific journals are the declared goal of an individual doctorate at the IPH. If you are interested in an individual doctorate in the field of Public Health / Epidemiology, please send your request with a d etailed description of the study project and your curriculum vitae to Dr. Toivo Glatz .

Doctorate (Dr. Public Health) Please refer to the web pages of the Department of Management in Healthcare at the TU Berlin.

For general information on the various doctoral opportunities at the Charité, please visit the website of the Promotion Office .

9 biostatistics-PhD positions in Germany

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• biostatistics-PhD

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• Scholarship 8
• Research Job 1
• Postdoctoral 1
• Dresden University of Technology • 1
• Heinrich Heine University Düsseldorf • 1
• Helmholtz-Centre for Environmental Research, UFZ, Multiple Stressor Ecology group of the Department of Ecotoxicology 1
• Institute of General Microbiology, Kiel University 1
• Ludwig-Maximilians-Universität München • 1
• Tuebingen University 1
• University of Cologne • 1
• University of Freiburg • 1
• Medical Sciences 3
• Linguistics 2

PhD Student in Medical Sciences (m/f/d)

Medicine in Hamburg is looking for a highly motivated PhD Student in Medical Sciences (m/f/d) -65% EG 13 TV-AVH- with a focus in Epidemiology, Biostatistics and Clinical Research We are seeking a motivated

PhD position on Molecular and phenotypic thresholds of antibiotics to protect aquatic microbial community structure and functioning

), committed to contribute to research, training, dissemination, communication and exploitation of results targeting end-users such as environmental consultancies and agencies. DESCRIPTION OF THE PhD PROJECT

Senior Postdoctoral Researcher

for prevention, health promotion, and medical care on a broad scale. We are seeking an outstanding researcher engaged in public health-related research (population health, epidemiology, biostatistics , medicine

Two PhD positions (m/w/d) in evolutionary microbiology / plasmid evolution

University, Germany two PhD positions (m/w/d) are available: 1) PhD position in Computational Evolutionary Microbiology Your profile: ·       Master of Science degree in Molecular Evolution / Microbiology

PhD / Doctorate •

programme. Examples include stem and germ cells, biostatistics , developmental cell biology, neurosciences, and modelling and simulation of biological systems. In addition, PhD students at the DIGS-BB have

Degree Doctoral degree (Dr rer nat or PhD ) In cooperation with University of Cologne, Cologne Max Planck Institute for Plant Breeding Research (MPIPZ), Cologne Forschungszentrum Jülich (FZJ

Degree Doctoral Degree (Dr rer nat or PhD ) Course location Köln In cooperation with Heinrich Heine University (HHU), Düsseldorf Max Planck Institute for Plant Breeding Research (MPIPZ) Cologne

deadline Consult the website: https://www.sgbm.uni-freiburg.de Tuition fees per semester in EUR Varied Combined Master's degree / PhD programme No Joint degree / double degree programme No Description

/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The molecular biosciences are undergoing a major

Searches related to biostatistics PhD

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Medical Faculty Heidelberg Medical Biometry/Biostatistics

Medical biometry (also known as Biostatistics) is the scientific modelling and analysis of quantifiable biomedical processes and phenomena. Students consider the planning and evaluation of empirical studies and the mathematical modelling of relationships in (biology and) medicine.

Medical biometry develops, implements and applies methods from statistics and mathematics to facilitate the extraction of new knowledge from medical data. Statistically valid interpretation of the results, and appropriate representation ensures that outcomes are made accessible within the relevant medical communities, and to the public. 

In order to successfully plan and conduct clinical research projects, Biometricians must possess not only methodical knowledge, but also comprehensive medical and cross-disciplinary knowledge, and the ability to combine these two scientific disciplines.

Special Features and Characteristics

The Master’s degree programme in Biometry / Biostatistics at Heidelberg University is intended to be studied on a part-time basis. The academic programme is strongly linked to students’ professional activities. Any tasks which students complete as part of paid employment during the course of study, which reflect the thematic content of the Master’s degree programme, are acknowledged via the allocation of credits.  

Lecturers at the Institute of Medical Biometry (Institut für Medizinische Biometrie, IMBI) and all other lecturers in the subject area are selected experts in their fields across Germany and Europe. The Master’s degree programme in Medical Biometry / Biostatistics developed and organised by the IMBI at Heidelberg University is therefore a unique programme in Germany. 

Thanks to the systematic application of European requirements relating to the structure of degree programmes, the Master’s degree programme complies with international standards. The degree programme is therefore equivalent to similar courses offered by universities across Europe, and enables students to gain a university degree which is recognised throughout Europe. Completion of the degree programme affords students certification in  “Biometry in Medicine”, from the German Association for Medical Informatics, Biometry and Epidemiology (Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, GMDS). This certificate is accepted by the Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM) and the European Medicines Agency as proof of identity for Biometricians.

• Institute of Medical Biometry

The Institute of Medical Biometry has a long and comprehensive history of developing biostatistical methods, of offering consultancy, as well as planning, conducting and evaluating patient-orientated research projects. Research at the Institute focusses on meta-analyses, statistical genetics, statistical modelling, biometry in clinical studies, as well as adaptive designs, calculation and recalculation of case numbers, and multiple level designs for phase 2 studies.

Occupational Areas

Academically trained biometricians are in great demand around the world and particularly in Germany, where needs are not currently being met. The demand for biometricians also exceeds supply in a number of EU countries. 

Biometricians might find employment: 

• in the pharmaceutical industry 
• in university clinics and hospitals where they might supervise clinical studies 
• in university and clinical research institutions  
• for service providers for clinical studies, the coordination Centre for Clinical Trials (Koordinierungszentrum für Klinische Studien, KKS) 
• for a contract research organization (CRO) 
• in the medical technology industry 
• in health and supervisory bodies (e.g. BfArM, EMA) 
• in companies responsible for quality assurance in clinical studies (e.g. The Institute for Quality and Efficiency in Healthcare, IQWiG)

Degree variants

Master, continuing education

I chose medical biometry in order to follow my passion of conducting translational research.

Maximilian Knoll, 29, Medical Biometry, 3rd semester Master

Further Interesting Subjects

Medical Informatics

Medicine (study location Heidelberg)

Medicine (study location Mannheim)

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Humboldt-Universität zu Berlin - Faculty of Life Sciences

Biostatistics.

Course in biostatistics/ biometry at HU

Courses on statistics and software applications provided by fu:stat

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Our working group conducts teaching and research in the area of biostatistics.

Most of our courses are targeted at students from the statistics and data science master at LMU, as well as the Elite Data Science Master. We lecture on statistical methods in epidemiology, causality, and supervise theses and practical projects of certain modules.

Our research is funded by the German Research foundations Heisenberg Program as well as the DFG project "Continuous Interventions in Epidemiology: from Theory to Practice". In these projects, causal inference methods for longitudinal continuous interventions are developed, and applied to (phamaco-)epidemiological questions.

Other research projects include the computational angles when integrating machine learning algorithms into causal effect estimation, causal fairness concepts, missing data methods, quantitative methods in public health and comparative effectiveness research in infectious disease epidemiology, longitudinal mediation analyses, among others.

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Causal Inference for Multiple Time Point Interventions more

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2781 Study programs

Study Biostatistics in Germany: 7 Universities with 7 English Degree Programs

All important info for international students in germany (2024/2025).

Biostatistics is the confluence of biology and statistics, providing vital tools to decipher complex biological data. In this discipline, students dive deep into quantitative methods, data analysis, and computational techniques tailored for health and biomedical challenges. By interlacing mathematical theories with biology, students will grasp how to design experiments, interpret biological phenomena, and make informed decisions. Those delving into Biostatistics are equipped to analyze clinical trials, study genetic data, or model disease outbreaks. As they advance, students can flourish as biostatisticians, data analysts, or epidemiological researchers, leveraging numbers to drive advancements in health and medicine.

Study Programs in English

Universities

Universities in International Rankings

€ 0 (4 programs for EU citizens, 3 programs for Non-EU citizens)

€ 5,100 per semester (1 program for EU citizens/Non-EU)

Winter Semester

between April 30 and July 15

Summer Semester

between and

Top-ranked German Universities in Biostatistics

public University

No. of Students: approx. 8,900 students

Program Fees: € 5,100 (per semester)

No. of Students: approx. 27,000 students

Program Fees: € 0 - € 1,500 (per semester)

Tuition Fees

3 english degree programs for biostatistics in germany.

Munich University of Applied Sciences Munich

Paper technology (continuing education).

Ruhr-Universität Bochum Bochum

Sport and excercise sciences for health and performance.

University of Freiburg Freiburg im Breisgau

Biomedical sciences.

Application Deadlines

Winter Semester 2024/2025

Summer Semester 2024

Winter Semester 2025/2026

Open Programs

No programs

Application Modes

Application process.

Deggendorf Institute of Technology Deggendorf

Life science informatics.

Charité - Universitätsmedizin Berlin Berlin

Epidemiology.

University of Bremen Bremen

Medical biometry / biostatistics.

TOEFL Scores

Cambridge Levels

5 (1 program )

72 (1 program )

B2 First (FCE) (1 program )

7 (1 program )

95 (1 program )

C2 Proficiency (CPE) (1 program )

1 English Degree Program for Biostatistics in Germany

University of Tübingen Tübingen

Population-based medicine.

2-4 semesters

→ View all programs with online courses

Master of Engineering

Master of Science

Winter intake

Summer intake

Winter & Summer intake

List of all German Universities offering English-taught Study Programs in Biostatistics

Charité - Universitätsmedizin Berlin

Program Fees: € 5,100

M.Sc. (Master of Science)

Deggendorf Institute of Technology

Program Fees: € 0

Munich University of Applied Sciences

Program Fees: € 4,000

M.Eng. (Master of Engineering)

Ruhr-Universität Bochum

University of Bremen

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PhD Data Management and Statistics

How many doctoral students received their doctorate in the past year? And what was the composition of the doctoral students at the University of Bonn? Our annual PhD statistics answer these and other questions.

In our newsletter Bonn Doctoral Bulletin we regularly publish further key figures on our doctoral students.

Facts and Figures

Doctoral students at the university are members of an interdisciplinary research community that includes the seven faculties in Bonn. In 2022, a total of 6,456 young researchers did their doctorate at the University of Bonn. Another 579 doctoral students were able to successfully complete their doctorate.

Doctoral degrees according to PhD statistics 2022:

• Faculty of Mathematics and Natural Sciences: 215
• Faculty of Medicine: 212
• Faculty of Agriculture: 57
• Faculty of Arts: 48
• Faculty of Law and Economics: 41
• Faculty of Protestant Theology: 5
• Faculty of Catholic Theology: 1

Ongoing Doctorates

Completed Doctorates

Female Doctoral Students

Where do our doctoral students come from?

The University of Bonn has an international body of doctoral students: the proportion of doctoral students with foreign citizenship is 25.9 percent. About 29 percent of all young researchers are already doing their doctorate within the framework of a structured program.

International Doctoral Students

Bonn International Graduate Schools

In a Structured Program

Why is which data collected?

As a result of the amendment to the University Statistics Act of March 6, 2016 (HStatG), the University of Bonn is obliged to collect data from its doctoral candidates. These include, for example, the type and duration of the doctorate as well as the doctoral subject. Further information about the HStatG and the data collected by the university can be found here (in German).

In order to further improve the data situation, we will introduce a central administrative system in the future. Until this system is in place, you can support us by filling out our questionnaire and sending it to your doctoral office .

Carina Teichrib

[email protected]

[email protected]

+49 228 73-60186

Other exciting facts and figures about the university, such as the number of professors or the total area of our campus.

Bonn Doctoral Bulletin

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First steps towards a doctorate

Each faculty determines its own doctoral regulations. Here you will find information about the formal requirements of your faculty and the first steps towards a doctorate.

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Ph.D. Program Applied Statistics and Empirical Methods

• Ph.D. students who are interested in a statistical or empirical PhD project
• Ph.D. students who's supervisor is a member of the Centre for Statistics
• sound knowledge of basic statistics and methodology (30 ECTS or equivalent; with 15 ECTS a conditional admission is possible)
• adequate skills in English language (language requirements)
• a Master or Diploma (or equivalent) in one of the following fields:
• agricultural sciences
• biosciences
• computer sciences
• forest sciences
• mathematics/statistics
• medicine/epidemiology
• social sciences
• at least 12 ECTS on statistical methodology
• at least 4 ECTS on specialisation courses
• research seminars (4 ECTS)
• summer schools and conferences (3 ECTS)
• key competencies (4 ECTS)

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Supervisors, dissertations at the department of statistics, "statistics: theory and methods of empirical modeling".

Welcome to the website of the doctoral program "Statistics: Theory and Methods of Empirical Modeling" of the Department of Statistics at the LMU in Munich.

Our main goal is to provide doctoral candidates with a perspective on the methodical foundations of Statistics that goes far beyond a specialization in the life, social or economic sciences or the humanities and to . institutionalize a scientific dialogue through interdisciplinary applications. This is to ensure that, going forward, we can rely on a common academic foundation and language as well as a diversity of methods for the description and modeling of uncertainty in various applications. 

Contact 

Address .

Ludwig-Maximilians-Universität München Department of Statistics  Ludwigstraße 33 80539 München

Speaker of the doctoral program  

Prof. Dr. Göran Kauermann

Coordination of the doctoral program

Dr. Michael Windmann

13.10.2016: JOURNALS CLUB

• November 8th, 2016: Fabian Scheipl: S. Wood, N Pya, B Säfken, Smoothing parameter and model selection for general smooth models abstract at arxiv.org
• December, 6th, 2016: Malte Kurz, tba

February, 7th, 2016: Georg Schollmeyer, tba

time: 16:00 c.t. location: all talks take place in the lecture room of the Statistics Department ( room 144, Seminarraum Ludwigstrße 33 )

13.10.2016: SUMMER RETREAT 2017

The summer retreat 2017 will take place at 23rd/24th of June 2017. location: BVS Bildungszentrum, Holzhausen am Ammersee.

Moodle course for organization

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Higher Education Compass

Medical biometry/biostatistics full time, master of science.

Master Degree

4 semesters

Standard period of study (amount)

Please enquire

Overview and admission

Admission semester.

Winter Semester only

Area of study

Biometry, Biostatistics

Target group

Graduates in mathematics with interest in biometry and statistics

The study programme begins every two years (even number years) in the winter semester.

Admission modus

open admission

Admission requirements (Link)

Admission requirements

Prerequisite to participate in a Master's degree programme is the completion of a course on Bachelor's degree level. The subject-specific admission requirements are regulated in the current acceptance/admission regulations (see www.dbs.uni-bremen.de or www.uni-bremen.de/master). These also include information about the different deadlines for submission of academic records.

Lecture period

• 16.10.2023 - 02.02.2024
• 11.04.2023 - 14.07.2023

Application deadlines

Winter semester (2023/2024), application deadline for germans and inhabitants.

Application deadlines for MASTER’S degree programme at: http://www.uni-bremen.de/master

Deadlines for International Students from the European Union

identical with general or degree programme-specific deadlines

Deadlines for international students from countries that are not members of the European Union

Enrollment deadline for germans and foreign students.

as per notification of admission/enrolment confirmation

Tuition fee

Fees (Link)

Languages of instruction

Main language, further languages.

Deutscher Akademischer Austauschdienst e.V. Kennedyallee 50 53175 Bonn

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M.Sc. Medical Biometry/Biostatistics

interdisciplinary - practice-oriented - excellent career prospects

The Study Programme

Biostatistics as a science of modelling and analysis of quantifiable biomedical processes and phenomena opens up a wide range of applications from prevention, treatment of environmental risks, consumer protection, health care, research and development, regulatory review and approval to health care reform. National and European laws and directives are creating a growing need. In order to meet this demand, the University of Bremen has established the international Master's programme "Medical Biometry/Biostatistics". The aim of the course is to enable students to independently carry out scientific work in medical biometry, as for example the statistical planning and evaluation of empirical studies and the mathematical modelling of correlations in biology and medicine.

The program is offered each two years in English and deepens the basic knowledge of mathematics and statistics from the previous bachelor's program. It extends the knowledge and skills of the students especially in the field of medical research. It places emphasis on interdisciplinarity and practical relevance. A broad spectrum of knowledge for the professional profile of biostatisticians is acquired. Not only practical skills for planning and evaluating empirical studies are taught, but also methodological and medical basics as well as legal and ethical aspects. An internship is integrated, e.g. in institutes, companies, authorities or clinics, in which the students experience work situations and work requirements in a relevant professional field. Students are familiarised with the current state of research in methodology and application through these offers. Care is taken to ensure that students can exchange information, ideas and problems at a high scientific level in interdisciplinary teams and take responsibility for solutions.

In the courses on ethics and legal regulations, students deal in detail with the ethical aspects relevant to clinical studies. In addition, general aspects and backgrounds of ethical and legal content are discussed. This enables students to reflect on their tasks and to maintain or demand high ethical standards. In addition, personality development is promoted and a sensitisation to the civil society responsibility of one's own actions is achieved.

Fields of activity

Excellent career opportunities are opened up for graduates by the objective of the initiative (training of biostatisticians, in particular for clinical research) in a national and international environment in the following areas

Health authorities, regulatory agencies, etc.

University research institutions

Pharmaceutical industry

Medical technology industry

• CRO s (companies that specialize in conducting clinical trials as service providers)

Pharmaceutical research is a classic field of application, but biotechnology and medical technology are becoming increasingly important. The Master of Science degree opens up an interesting occupational field with a high international demand for appropriately trained specialists, but also the opportunity for subsequent doctoral studies. Therefore, the Master's programme gives holders of a foreign Bachelor's degree the opportunity to qualify for a doctorate at a German university. The Master of Science also makes it easier for German students to gain a doctorate at foreign institutes and universities.

Participating institutions

The training is carried out in Faculty 3 (Mathematics and Computer Science) of the University of Bremen in a cooperation between the Competence Center for Clinical Studies Bremen (KKSB) and the Leibniz Institute for Prevention Research and Epidemiology - BIPS GmbH with the participation of the Cooperation Center Medicine of the University of Bremen (KOM). The KKSB is a cooperation institution between the University of Bremen and the Klinikum Bremen-Mitte. It consists of two departments: the Biometry Department, which is part of Department 3 of the University of Bremen, and the Pharmacology Department of the Bremen-Mitte Clinic. The BIPS covers the entire cycle of epidemiological research. The methodologically oriented professorial positions of the Leibniz Institute for Prevention Research and Epidemiology - BIPS belong to Department 3 of the University of Bremen. The KOM was founded in 2004 and offers a framework for joint research activities between physicians of the Bremen clinics and scientists of the university. The center develops interdisciplinary teaching concepts for university education at all levels as well as for further education and training. It currently has about 100 members, about half each from the Bremen clinics and the university.

PhD in Biostatistics

Prepare for a career at the forefront of biostatistics and bioinformatics theory and practice.

As a PhD in biostatistics candidate at the Harvard T.H. Chan School of Public Health, you will develop deep expertise in the theory and practice of biostatistics and bioinformatics, working alongside faculty who are leaders in both statistical theory and its application to health research. You will learn to work with big data and use powerful statistical tools to drive discovery using complex datasets. You will also conduct original research in collaboration with laboratory, clinical, and biomedical scientists from around the globe to identify and solve problems that threaten the lives and health of people everywhere.

With a PhD in biostatistics from the Harvard Chan School, you will be prepared for a high-impact career in academia or a research or leadership role in government or within the health care, pharmaceutical, or biomedical industries. You will also be positioned to play an important role in safeguarding public health and improving lives through quantitative research.

The PhD in biostatistics curriculum is focused on devising solutions to public health problems through the development of five key competencies in every student:

• Applying innovative probabilistic and statistical theory and computing approaches to the development of new biostatistical or bioinformatics methods, and publishing this original research in academic journals
• Providing leadership in the design, conduct, and analysis of collaborative research studies in medicine and public health
• Applying modern statistical and computational methods to effectively analyze complex medical and public health data, including the development of new software for nonstandard problems and simulation methods
• Collaborating and communicating effectively with research scientists in related disciplines
• Teaching biostatistics or bioinformatics effectively to health professionals, research scientists, and graduate students

All students admitted to the PhD in biostatistics program, including international students, are guaranteed full funding, which includes a stipend as well as tuition and health insurance for four years, provided they make satisfactory progress. In practice, many students require a fifth year to complete the doctoral program, and financial support for this 5 th year will be available with approval of the department.

WHO SHOULD APPLY?

All candidates for admission to the PhD in biostatistics program must have a strong background in mathematics—with college-level coursework successfully completed through multivariable calculus and at least one semester of linear algebra—as well as knowledge of at least one computer programming language. We strongly encourage additional coursework in quantitative areas including probability, statistics, numerical analysis, and advanced calculus or real analysis, as well as in biology, computational biology, and genetics (if interested in bioinformatics). Experience using a statistical computing platform such as SAS, Splus, R, Stata, or SPSS is also encouraged. Knowledge of a scripting language such as Python or Perl and some familiarity with relational databases is recommended for those interested in bioinformatics.

APPLICATION PROCESS

Like all PhD (doctor of philosophy) programs at the School, the PhD in biostatistics is offered under the aegis of the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (Harvard Griffin GSAS). Applications are processed through the Harvard Griffin GSAS online application system located at gsas.harvard.edu/admissions/apply.

OUR COMMUNITY: COMMITTED, ACCOMPLISHED, COLLABORATIVE

As a student in the PhD in biostatistics program, you will join a community of leading scientists and educators from around the world, working alongside world-renowned faculty members and collaborating with peers from across the globe. Our location in the heart of Boston’s Longwood Medical Area—home to Harvard Medical School, the Dana-Farber Cancer Institute, and many world-class hospitals—makes collaboration with eminent laboratory and clinical researchers a natural part of the educational experience. And when you graduate, you will benefit from Harvard’s unparalleled global network of alumni leaders.

LEARN MORE Visit our website at www.hsph.harvard.edu/biostatistics [email protected]

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International Programmes 2023/2024

PhD Programme in Epidemiology PhD Programme in Epidemiology

Hannover medical school • braunschweig.

• Course details
• Online learning
• Costs / Funding
• Requirements / Registration

HZI Graduate School  https://www.helmholtz-hzi.de/en/career/graduate-school

English is the teaching language during the whole course of study.

The thesis is written in English. Alternatively, it may be written in German after consulting with the main supervisor. The presentation at the PhD defence has to be given in English.

German knowledge will be helpful during the stay in Germany (German courses are offered at Helmholtz Centre of Infection Research).

It is possible to apply any time (via e-mail only, [email protected] ), provided that all requirements are fulfilled (see prerequisites for application on website  https://www.helmholtz-hzi.de/en/career/phd-programme-epidemiology/application/ ).

During the course of the programme, PhD fellows are prepared to conduct independent epidemiological and public health relevant research. Following a successful completion, the fellows can enter career paths in academia, research and science in national health institutions, ministries, health insurances, international organisations or other non-governmental organisations.

The main focus of the programme is on epidemiology and public health .

The programme supports individual training and career plans according to background studies and interests.

Further objectives of the programme include the following:

• To gather experience in independent planning, management, implementation, and evaluation of epidemiological and public health research projects
• To acquire comprehensive knowledge on epidemiological and statistical methods
• To scientifically contribute to narrow evidence gaps in epidemiological and health research
• To acquire the ability to present results and methods of epidemiological research at conferences and in peer-reviewed journals
• To support the understanding of Good Epidemiological Practice

PhD project outlines for the PhD application should be based on the research areas of the Department of Epidemiology at HZI (topic list can be found at www.helmholtz-hzi.de/phdepi ).

Admission to the PhD programme is only possible if funding is ensured by the applicant (e.g. by a scholarship or a third party), both for subsistence whilst in Germany and for project costs where applicable.

• The duration of each PhD programme cycle is three years.
• The PhD programme is structured into individual epidemiological research activity, on the one hand, and accompanying mandatory educational programme (minimum 300 teaching units), on the other hand.
• The accompanying educational programme contains lectures and seminars as well as epidemiological fieldwork in our study centre and epidemiological laboratory.
• All training elements are taught in English. The PhD programme is integrated in and supported by a network of PhD students, postdocs, and supervisors with various scientific backgrounds.
• Integrated study abroad unit(s)
• Training in intercultural skills
• Projects with partners in Germany and abroad
• International guest lecturers

Field studies related to the project (if applicable)

One epidemiological field module (minimum of 16 teaching units)

Voluntary teaching opportunities ("Supervised Teaching")

• Access to databases with study material
• Chats (with lecturers and other students)
• Online sessions
• Online study material provided by institution
• Online tutorials

Approx. 400 EUR per semester

Please check the MHH website for the regular semester fee, which includes the semester ticket for public transportation.

Average living expenses amount to approximately 1,200 to 1,700 EUR per month. Please note that the real costs vary depending on your personal lifestyle.

• University degree (Master's degree or equivalent) in the area of medicine, dentistry, veterinary medicine, pharmacy, natural science, or in another subject area with a biomedical or health-relevant focus 
• The degree must entitle the applicant to pursue a PhD studies in Germany. (Verification for this is carried out by an official authority, and this is initiated by the office of the Epidemiology PhD programme.)
• Applicants are required to have knowledge and prior experience in the area of epidemiological methods and statistics equivalent to that which may be gained in a degree programme like MSE, MSc Epidemiology, MPH, or MSAE. In individual cases, when such a formal degree is lacking, successfully passed courses in the field of statistics and epidemiology with 120 contact hours and/or 10 ECTS can also be acknowledged.

Excellent English language skills required: Fluent written and spoken English is a prerequisite of being accepted to the programme.

Will be provided by HZI/PhD Programme Office

Please send COMPLETE applications in one merged PDF document  via e-mail only to [email protected] according to the guidelines on our website: www.helmholtz-hzi.de/phdepi .

There are no job opportunities during the programme. As a rule, positions within the PhD programme in "Epidemiology" are NOT funded by the host institution (Helmholtz Centre for Infection Research). Students are required to secure their own funding for the three years period of their PhD (both, for living and – where applicable – for the project under investigation), by applying for a stipend, e.g. at DAAD, Humboldt-Foundation, Stiftung des deutschen Volkes.

Due to visa restrictions, most foreign students are not allowed to work outside of academia.

Assistance can be rendered in finding suitable private accommodation/flats (not on campus).

Our students have regular meetings with supervisors and experienced postdocs. They can also participate in workshops and series offered by HBRS and our Epidemiology department, e.g. the Career Planning & Development series (amongst others, topics include job searching strategies, how to design a CV/motivational letter to attract hiring managers and recruiters, and how to prepare for an interview).

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Rohde and whitman at translational science 2024.

Posted by duthip1 on Thursday, April 4, 2024 in News .

Translational Science 2024 is underway, with the theme of “Translational Science Innovation to Increase Equity,” and the presenters have included two current students. PhD candidate Maximilian Rohde is primary author of Participation of Racial and Ethnic Minorities in Decentralized Trials: The ACTIV-6 Experience , and MS student Julia Whitman is primary author of Impact of ACTIV-6 treatment on PROMIS-29 at 7, 14, 28, and 90 days . Both worked with adjoint professor Tom Stewart , who is lead statistician with ACTIV-6 and inducted into Vanderbilt’s Academy for Excellence in Education in 2022.

For a general introduction to ACTIV-6, visit the study site .

Tags: ACTIV-6 , conferences , posters

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