Decision Sciences & Systems
Technical University of Munich


Open position (posted 21.07.2020)

Tutor/Student Assistant - Data Analysis in R

(15-20 hours/week. Most work for this position can be done remotely, but some on-site work in Garching/Munich may be required! Any applicant must be enrolled as a student at an accredited German university and must reside in Germany for the entirety of the contract.)

Our research group at the institute for Decision Sciences and Systems (TUM Informatics 18) is looking for a motivated tutor/student assistant (f/m/x) for the winter term 2020/21 (October 2020 - February 2021, some flexibility). We are teaching the class Business Analytics (IN2028), an introductory course in data analysis and machine learning with about 500 students who are mostly studying Information Systems, Computer Science, or Management and Technology at the Master's level. The class includes a practical data analysis project ("Analytics Cup"), which will be conducted in cooperation with an industry partner. The partner company will provide a real-world dataset and a task outline; our students will have to develop statistical and/or machine learning models to perform the task.

We are looking for a tutor with a strong background in R and data analysis who will be focused on preparing and conducting the practical project as well as related (online) instruction.

Your responsibilities:

  • Work closely with your supervisor at the institute and the industry partner company to prepare and test a challenge that is suitable to the student audience.
  • Create instructional material related to data analysis in R and the practical project itself.
  • Conduct online tutorial and live Q&A sessions, answer students' questions in an online forum.
  • Grade student submissions to the project as well as exercises on the course's final exam. 

Minimum Requirements:

  • Applicants must be enrolled as a student at a German university and must reside within Germany for the entirety of the contract.
  • Demonstrated practical experience in data analysis, e.g. from work experience, class projects, Kaggle competitions, etc.
  • Familiarity with data analysis and machine learning in the R language, particularly with the tidyverse package-family (especially dplyr)
  • Working knowledge of statistics and supervised machine learning algorithms
  • Fluency in English with excellent presentation and communication skills
  • (Previous successful participation in TUM's Business Analytics course and the Analytics Cup is NOT required but sufficient to demonstrate the points above.)

Our ideal candidate will additionally have the following qualifications:

  • Familiarity with one or more meta-machine-learning frameworks in R, such as mlr, mlr3, or tidymodels.
  • Previous experience tutoring at the university level.
  • Basic knowledge of one or more other common data analysis and ML stacks, e.g. python/sklearn,  h2o, spark, tensorflow, pytorch, etc.

Please send your application or questions regarding the position to stefan (dot) heidekrueger (at) in.tum.de. Please attach the following documents with your application: CV, current Transcript of Records, current proof of enrollment (not required for TUM students), a short motivational letter (Please briefly outline your previous experience with R and why you are interested in the position. Letter not required for TUM students who took IN2028 in previous years).

Decision Sciences & Systems (DSS), Department of Informatics (I18), Technische Universität München, Boltzmannstr. 3, 85748 Garching, Germany
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