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PhD Positions in Business and Data Analytics with Application in Healthcare

Outstanding international students are invited to apply for a PhD scholarship in operations research at Technical University of Munich. Successful candidate will have funding to work and study for four years in Germany. Applications should be submitted as soon as possible.

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.

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.

Our requirements:

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.

Our offer:

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 Lnder (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.

Your application:

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 Mnchen or by email no later than January 19, 2020 at bewerbungen@wi.tum.de.

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).

- CV

- 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 bewerbungen@wi.tum.de.

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.

Find out more about us at www.tum.de.

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