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PhD Position (f/m/d) in Business & Data Analytics with application in healthcare
Technische Universität München (TUM)
The Technical University of Munich (TUM) is one of top world universities. It is committed to excellence in research and teaching, interdisciplinary education and the active promotion of promising young scientists. The university also forges strong links with companies and scientific institutions across the world. TUM was one of the first universities in Germany to be named a University of Excellence. Moreover, TUM regularly ranks among the best European universities in international rankings.
TUM School of Management is redesigning its teaching and research in the field of Business Administration at the TUM Campus in Heilbronn in the light of the digital transformation. This is an once-in-a-lifetime opportunity, a chance for us to bring together unique expertise in analytics, big data, AI, and digitalization. The TUM Campus Heilbronn is an open, flexible organization whose goal is to achieve excellence in research, teaching and impact.
PhD Positions in Business & Data Analytics with application in healthcare (m/f/d)
We are looking for two doctoral students in the field of business & data analytics with application in healthcare in the School of Management, TUM Campus in Heilbronn, starting in July/August 2020.
The ideal candidate should have a strong interest in business & data analytics with application in healthcare and a profound education in one or more of the following areas of expertise.
Optimization, operations research or general mathematics
Applied probability, statistics, simulation
Econometrics, data analysis
Computer science, excellent programming skills
Excellent English language skills
You must have a master's degree relevant to your intended PhD specialization and from a university/department with a strong international research reputation.
We offer a full-time position as academic staff for up to four years with the opportunity to pursue a doctoral degree. You get the prospect to create and teach
knowledge about current issues within the framework of digitization. In addition, an excellent working atmosphere awaits you in a young and success-oriented team.
You will have the opportunity to experience and shape exciting research projects. Payment will be based on the Collective Agreement for the Civil Service of the
Länder (E13 TV-L). TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from
disabled persons with essentially the same qualifications will be given preference.
If you are interested in working in our team, please send your application together with a strong CV and supporting documentation to the Technical University of
Munich, TUM School of Management, Ms. Juliane Hofmann, Arcisstrasse 21, 80333 München or by email no later than January 19, 2020 at
Your application should include:
Cover Letter (One page including GPA, GPA ranking (X/XX), university ranking for all degrees; a list of core and related courses to the program as well their grades; IELTS/ TOEFL/GRE scores; any other rewards and evidences).
Degrees and transcripts
IELTS/ TOEFL/GRE scores
Reference letters (One letter of recommendation sending from an international scholar who knows you well and the names and e-mail addresses of two further referees (university professors)
Writing sample (optional)
Research proposal (about 2 pages) motivating your specific interest in healthcare data analytics (optional)
Do not hesitate to contact Mr. Xi for any questions you may have at firstname.lastname@example.org.
If you apply in writing, we request that you submit only copies of official documents, as we cannot return your materials after completion of the application process.
data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at
https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm to have read and understood the data protection information provided by TUM.
Find out more about us at www.tum.de.
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