lmu phd statistics

Links and Functions

• www.en.lmu.de
• LMU excellent

Language Selection

Breadcrumb navigation, doctoral programs, main navigation.

• Doctoral Studies
• Consultation

LMU Munich offers a broad range of doctoral programs  as well as some umbrella structures. In addition, the university cooperates with other institutions on a doctoral level.

For further information on the academic focus of a doctoral program as well as the application procedures and closing dates, please refer to the website of the specific program. If you have any questions on a specific program, please contact the coordinator / managing director of the respective program directly.

As an alternative to participating in a doctoral program, LMU Munich offers graduates the option to complete individual doctoral studies in more than 100 subjects. Doctoral candidates are also supervised within the framework of research projects , academic institutions and research networks .

Humanities and Cultural Studies

• Cultures of Vigilance. Transformations – Spaces – Practices  (DFG: SFB 1369 - Integrated Research Training Group)
• Doctoral Program Buddhist Studies
• Doctoral Program Classical and Ancient Studies (PAW)
• Doctoral Program Environment and Society
• Doctoral Program Medieval and Renaissance Studies
• Family Matters. Figures of Allegiance and Release  (DFG: Research Training Group 2845)
• Graduate School Language & Literature: Class of Culture and History. American History – History of the Americas
• Graduate School Language & Literature: Class of Language
• Graduate School Language & Literature: Class of Language Education
• Graduate School Language & Literature: Class of Literature
• International Doctoral Program "Transformations in European Societies"
• Munich Graduate School for East and Southeast European Studies
• Philology. Practices of Pre-modern Cultures, Global Perspectives and Future Concepts (Elite Network of Bavaria: International Doctoral Program)

Social Sciences and Economics

• Doctoral Training Program in the Learning Sciences (DTP)
• Munich Graduate School of Economics (MGSE)

Natural Sciences and Medicine

• Advanced Medical Physics for Image-Guided Cancer Therapy (DFG: Research Training Group 2274)
• Atherosclerosis – Mechanisms and Networks of Novel Therapeutic Targets (DFG: SFB 1123 - Integrated Research Training Group)
• Cell-Fate Decisions in the Immune System (DFG: SFB 1054 - Integrated Research Training Group)
• Chemical Biology of Epigenetic Modifications (DFG: SFB 1309 - Integrated Research Training Group)
• Chromatin Dynamics (DFG: SFB 1064 - Integrated Research Training Group)
• ConVeY - Continuous Verification of CYber-Physical Systems (DFG: Research Training Group 2428)
• Doctoral Program Clinical Pharmacy
• Doctoral Program "Infection Research on Human Pathogens@MvPI"
• Graduate School Life Science Munich: From Molecules to Systems
• Graduate School of Quantitative Biosciences Munich
• Graduate School of Systemic Neurosciences
• Konrad Zuse School of Excellence in Reliable AI (relAI) (DAAD)
• Molecular Evolution in Prebiotic Environments (DFG: TRR 392 - Integrated Research Training Group)
• Ph.D. Program Medical Research in Cardiovascular Science
• Ph.D. Program Medical Research in Epidemiology & Public Health
• Ph.D. Program Medical Research in Genomic and Molecular Medicine – Personalized Approaches to Childhood Health
• Ph.D. Program Medical Research – International Health  (DAAD: exceed)
• Ph.D. Program Oral Sciences
• Predictors and Outcomes in Primary Depression Care  (DFG: Research Training Group 2621)
• Statistics: Theory and Methods of Empirical Modelling
• Targets in Toxicology – Deciphering Therapeutic Targets in Lung Toxicology (DFG: Research Training Group 2338)

Umbrella Structures and Networks

• Graduate School Language & Literature Munich (GS L&L)
• Munich Graduate School of Sociology (MuGSS)
• Munich Medical Research School (MMRS)
• Promovierenden-Gruppe am Historischen Seminar (PromoHist)

International Max Planck Research Schools (IMPRS) in which LMU Munich participates

• IMPRS Biological Intelligence
• IMPRS for Molecules of Life
• IMPRS for Quantum Science and Technology
• IMPRS for Translational Psychiatry
• IMPRS on Advanced Photon Science
• IMPRS on Astrophysics
• IMPRS on Elementary Particle Physics

Max Planck Schools in which LMU Munich participates

• Max Planck School Matter to Life
• Max Planck School of Cognition
• Max Planck School of Photonics

Helmholtz Graduate School in which LMU Munich participates

• HELENA - Helmholtz Graduate School Environmental Health

Munich School for Data Science in which LMU Munich participates

• MUDS – Munich School for Data Science

ENB Doctorate Program in which LMU Munich participates

• Rethinking Environment: The Environmental Humanities and the Ecological Transformation of Society (Elite Network of Bavaria: International Doctorate Program)

BayWISS-Verbundkollegs in which LMU Munich participates

• BayWISS-Kolleg Health
• BayWISS-Kolleg Life Sciences and Green Technologies
• BayWISS-Kolleg Sozialer Wandel

Marie Skłodowska-Curie Innovative Training Networks (ITN) in which LMU Munich participates

• Overview of current projects
• Privacy Policy
• Accessibility

Guide to applying for doctoral studies

for international applicants

Skip to content

Doctoral studies at lmu, individual doctoral studies, funding opportunities.

• Doctoral Committees / Dean's Offices

There are two options if you would like to pursue a doctorate at LMU:

• Individual doctoral studies If you already have a State Examination ( Staatsexamen ), Diplom ( German academic degree), Magister (German academic degree) or master’s degree, you can pursue a doctorate with us. The traditional way of doing this is to choose individual doctoral studies , where you are supervised by a professor from the respective faculty.
• Structured doctoral programs LMU also offers an increasing number of structured doctoral programs, where candidates follow a curriculum for a set period of time and are supervised by a number of academic professionals. The GraduateCenter LMU is responsible for coordinating structured doctoral programs at LMU, and also offers advisory support and other services for prospective LMU candidates and/or current doctoral candidates.

1. Find a doctoral supervisor

First you will need to find a professor who is willing to support you as you write your doctoral thesis and supervise your doctoral studies. Unfortunately, the International Office cannot help you do this. You'll find more information on the respective institutes' websites. You can also look at the notice boards in the various institutes and dean’s offices.

2. Apply to the respective doctoral committee for admission to start your doctoral studies

Once you have received confirmation of doctoral supervision from your professor ( Betreungszusage ), you can apply to the respective doctoral committee for admission onto your doctorate of choice.

Please note: In general, registering at the International Office is not mandatory for a lot of doctoral studies (except for faculties 9 to 13) . If you wish to register, please follow steps 3–5. The documents you will need to present to the dean’s office / doctoral committee will also be required when you register at the International Office.

3. Applying at the International Office

As soon as you have written confirmation of admission to doctoral studies from the relevant doctoral committee, you will need to apply at the International Office within the stated registration period.

Deadline: 15 January / 15 July for the following semester, late applications until 21 October or 25 April respectively.

• Completed application form (PDF, 622 KB) (for faculties 9–15 Humanities and Social Sciences: application )
• in the original language — as an officially certified copy
• and with officially certified translation where applicable. Certificates in English, French, Italian, Spanish, Catalan, Latin, Portuguese and Rumanian do not have to be translated.
• for applicants from the USA transcript of records in closed envelopes are needed.
• Registration and certificates of studies previously undertaken at any other German university
• Letter of acceptance to doctoral studies from the respective doctoral committee
• Confirmation from the professor who will supervise your studies
• Marriage certificate / official proof of change of name (if applicable)
• Evidence of proficiency in German: please refer to the general regulations on proficiency in German . In many cases, doctoral committees will not insist on evidence of proficiency in German.

For country-specific requirements (e.g. APS certificate), please refer to the detailed application information .

4. Receiving an official letter of admission from the International Office

This letter is an important official document which you will need to show the authorities.

5. Registering at the International Office

Once you have a letter of admission, you must register before the deadline, submitting all necessary documents (listed on the letter of admission). See here for more information on registering as an international applicant.

Doctoral studies are not subject to a standard period of study. However, you may only register for a maximum of 8 semesters. If you do not manage to complete your doctoral studies within these four years, you can complete them at a later date, without needing to register.

• Scholarships for international doctoral students
• Scholarship Program for Chinese Doctoral Students
• STIBET Mentoring
• Guide to applying for doctoral studies (PDF, 337 KB)

International Office

International Admissions

Send an email

+49 89 2180-3156 oder -3743

International Admissions: Counseling

Contact and coordination units for doctoral students

• GraduateCenter
• Doctoral programs
• Doctoral Committees

Doctoral Committees / Dean's Offices

Geschwister-Scholl-Platz 1, Room D 101, 80539 München Phone: +49 89 2180-2416 E-Mail: [email protected] Website: www.kaththeol.uni-muenchen.de

Ludwigstraße 29, EG, 80539 München Phone: +49 89 2180-5376 , +49 89 2180-3228 , +49 89 2180-5778 E-Mail: [email protected] Website: www.orththeol.uni-muenchen.de

Geschwister-Scholl-Platz 1, Room C 019, 80539 München Phone: +49 89 2180-3478 E-Mail: [email protected] Website: www.evtheol.uni-muenchen.de

Geschwister-Scholl-Platz 1, Room D 109, 80539 München Phone: +49 89 2180-2326 E-Mail: [email protected] Website: www.jura.uni-muenchen.de

Ludwigstraße 28 - Vordergebäude EG, Room 04, 80539 München Phone: +49 89 2180-2228 E-Mail: [email protected] Website: www.bwl.uni-muenchen.de

Schackstr. 4/IV, Room 402, 80539 München Phone: +49 89 2180-2327 E-Mail: [email protected] Website: www.vwl.uni-muenchen.de

Bavariaring 19, 80336 München Doctorate Office Munich Medical Research School

Veterinärstraße 13 o. Königinstr. 8, Room B104, 80539 München Phone: +49 89 2180-3578 E-Mail: [email protected] Website: www.vetmed.uni-muenchen.de

Geschwister-Scholl-Pl. 1, Room D 205, 80539 München

Website: www.pags.pa.uni-muenchen.de

Faculties 9 -11:

E-Mail: [email protected] Telefon: +49 89 / 2180 - 3828

Faculties 12 - 13:

E-Mail: [email protected] Telefon: +49 (0)89 / 2180 - 2341

Faculty 15:

E-Mail: [email protected] Phone: +49 89 2180 - 2272

Theresienstraße 39/I, 80333 München Phone: +49 89 2180-4503 E-Mail: [email protected] Website: www.mathematik-informatik-statistik.uni-muenchen.de

Schellingstraße 4/IV, Room H 439, 80799 München Phone: +49 89 2180-3340 E-Mail: [email protected] Website: www.physik.uni-muenchen.de

Butenandtstraße 5-13, Building F, Room F2.060, 81377 München Phone: +49 89 2180-77001 E-Mail: [email protected] Website: www.cup.uni-muenchen.de

Großhaderner Str. 2, Room B 01.030, 82152 Planegg-Martinsried

Phone: +49 89 2180-74120 E-Mail: [email protected] Website: www.biologie.uni-muenchen.de

Luisenstraße 37/ I, Room A 118, 80333 München Phone: +49 89 2180-6506 E-Mail: [email protected] Website: www.geo.uni-muenchen.de

• To share copy Link
• Share on Facebook
• Share on Twitter
• Share on LinkedIn

What are you looking for?

• main website
• all LMU sites

More information about Google data transfer in LMU's Privacy Policy.

Welcome to the chair of Statistical Learning and Data Science at the LMU of Prof. Dr. Bernd Bischl (formerly working group Computational Statistics until early 2020).

Our chair is composed of the following research groups, which are led by at least one PostDoc:

• Automated Machine Learning and Optimization
• Causal and Fair Machine Learning
• Empirical Machine Learning
• Interpretable Machine Learning / Explainable AI
• Machine Learning for Survival Analysis
• Methods Beyond Supervised Learning
• Natural Language Processing
• Probabilistic Machine and Deep Learning
• Research Software Engineering

Our Machine Learning Consulting Unit offers consulting regarding the application and evaluation of machine learning methods for (applied) scientists from the LMU, MCML and other interested parties.

Our research areas of interest are

• statistical computing and computational statistics
• predictive modeling, especially non-linear classification and regression
• boosting and ensembles
• deep learning
• automated machine learning
• causal inference
• fair machine learning
• empirical machine learning and benchmarking
• model- and variable selection
• expensive black-box / Bayesian optimization
• interpretable machine learning
• machine learning based survival analysis
• research software development

Department of Statistics Chair of Statistical Learning & Data Science Ludwig-Maximilians-Universität München Ludwigstraße 33 D-80539 München For all administrative inquiries please contact our office administration: slds [at] stat.uni-muenchen.de Tel: +49 89 2180 2814 (administration) Fax: +49 89 2180 5308 For general inquiries please contact our scientific manager: juliane.lauks [at] stat.uni-muenchen.de

Huge success at ECML PKDD 2023

The 2023 Best Paper Award for the Research Track goes to “Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry” by Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer.

AutoML Fall School to be hosted in Munich

The 3rd AutoML Fall School will be hosted in Munich from Nov 27 - Nov 30 and early bird tickets are available until the end of September.

With flying colors at the ai.bay 2023

Daniel Schalk and Lennart Schneider win this year’s ai.bay Hackathon. February 2023

1st World Conference on eXplainable Artificial Intelligence (xAI 2023)

Call for papers for the Special Track on Model-agnostic Explanations by Dr. Giuseppe Casalicchio and Julia Herbinger - July 26-28, 2023 - Lisboa, Portugal (abstract deadline: April 15, 2023)

Great success for AI research in Munich

The Munich Center for Machine Learning (MCML), a joint initiative of LMU and TUM, has been granted funding as a permanent establishment following a positive evaluation. July 2022

Interpretable ML at Online BLIZ Summer School

Dr. Giuseppe Casalicchio, Christoph Molnar and Julia Herbinger will briefly present some basic topics of interpretable machine learning including a hands-on use case with the R package iml at the Online BLIZ Summer School in Multidisciplinary Research and Synthesis on July, 5th 2021.

2021 SIGEVO Award

Prof. Dr. Bernd Bischl recently received the 2021 SIGEVO Impact Award for the GECCO 2011 publication: Mersmann, O., Bischl, B., Trautmann, H., Preuss, M., Weihs, C., Rudolph, G. Exploratory landscape analysis (2011) Genetic and Evolutionary Computation Conference, GECCO’11, pp. 829-836. Established in 2009, the SIGEVO Impact award recognizes up to three papers a year that were published in the GECCO conference 10 years earlier and which are both highly cited and deemed to be seminal by the SIGEVO Executive Committee.

LMU/MCML as co-organizers of the 2021 DSSGx Summer Initiative

As part of the MCML the Chair of Statistical Learning and Data Science joins forces with the University of Warwick under the DSSGx UK chapter of the DSSG Foundation supported by the Alan Turing Institute to organise the prestigious 2021 DSSGx Summer Projects , partaking in the renowned Data Science for Social Good (DSSG) initiative. The programme will run for 12 weeks from 7 June to 27 August 2021, and will be entirely online due to COVID-19.

Former Working Group for Computational Statistics turns into the Chair of Statistical Learning and Data Science (1.5.2020)

Since May 1st, 2020, Prof. Dr. Bernd Bischl holds the chair of Statistical Learning and Data Science at the Department of Statistics, LMU Munich. Previously the head of the working group for Computational Statistics, Prof. Dr. Bischl now heads nine PostDocs, 26 PhD candidates and numerous student assistants.

Links and Functions

• www.en.lmu.de
• Faculty of Mathematics, Informatics and Statistics

Language Selection

Breadcrumb navigation.

• Doctoral Program

Application

Main navigation.

• Prospective Students
• Degree Programs
• Supervisors
• Dissertations at the Department of Statistics

We invite MSc graduates from any relevant discipline (statistics or a nearby field e.g. mathematics, empirical social sciences ...) and any country who are interested in interdisciplinary research to apply.

Application tool.

The application tool is closed. application tool is open up to February 28th, 2021 (12pm/noon CET) . In order to apply for the program, you need to register . You will have to enter your name and choose a username and password. You will then immediately receive a confirmation email with an activation link that will give you access to our online application tool.

The application window for the class starting in September/October 2023 will be announced here in December 2022.

• The application tool for the class starting in September/October 2020 will open on February 1st, 2021. (application tool)
• The application deadline is February 28th, 2021 (12pm/noon CET)
• The placement test will be online March 1st, 2021 (12pm/noon CET)
• The placement test deadline is March 5th, 2021 (12pm/noon CET)
• Candidates will be notified by end of April 2021
• The interviews will be scheduled individually

Requirements

Please note that you need to have completed a Master's degree in statistics or equivalent in a nearby field (e.g. mathematics, empirical social sciences ...) prior to starting the PhD program. Applicants have to submit:

• Academic record (high school, Bachelor and Master’s transcripts)
• Research interests All applicants have to indicate their specific research interests. Please select up to three research groups you are interested in. You can find details about research areas and participating research groups on our webpage.
• Two letters of recommendation To process your application, we need two letters of recommendation from scientists familiar with you and your previous work (e.g. Master or Bachelor advisor). You will be asked to provide email addresses of your referees, they will then be invited to submit a letter of recommendation on your behalf. You can monitor receipt of the letter within the online application tool; it is your responsibility to make sure that the referees submit their letters by the application deadline.
• Two brief essays Furthermore, two brief essays are required: one describing the student’s motivation to apply for the PhD program, the other describing the reasons for their interest in selected research groups

There will be a placement test for all applicants. The test is made up by several questions on basic statistical knowledge. The test is embedded in the application form; however, it is only accessible after the application deadline. Applicants will be able to access the application form after the submission and to resubmit the application form including the completed placement test. Applications will be independently reviewed by multiple members of the department. The most promising candidates will be selected for interviews , based on academic qualification, research experience, motivation, scientific background and the letters of recommendation.

Please take note of the following rules:

• You have to apply using our online application tool; applications submitted by mail or email will not be considered
• You have to submit your application either in German or in English
• Incomplete applications will not be considered
• Please remember to formally submit your application by clicking the “Submit” button once your application is complete. Applications that are not submitted will not be considered
• We do not charge application fees
• The maximum file size per uploaded document is limited to 5 MB

Please note that the program does not provide any funding opportunities. If accepted, we request a guarantee of funding from your side; e.g. a scholarship. The monthly living costs in Munich are at least 850€.

Quick Links

• Data Science@LMU Professional Certificate Program
• MSc Data Science
• Center for Quantitative Risk Analysis
• Blog stats@lmu
• Women's Representative
• Library Economic Sciences & Statistics
• Open Science Initiative in Statistics (OSIS)
• Privacy Policy
• Copyright and Disclaimer
• Accessibility

How do I know what the most appropriate statistical test for my data is?

What is multiple testing and why does it matter?

What should a histogram of p values look like, if H0 was true?

How do I measure the exact content of information in my data and how can I unveil information that lays dormant in the data without over interpreting it?

We are going to answer all these questions with hands-on examples by teaching not only the classical methods, but also more suitable tools like Bayesian Statistics.

• probability
• basic probability density functions and their relations
• mean, variance and covariance
• t-test, z-test, ANOVA, MANOVA
• non-parametric tests
• multiple testing
• analyzing count data (peptides, DESeq)
• principal component analysis
• bayesian statisitcs