Teaching Assistants
vor 4 Wochen
The Hertie School in Berlin prepares exceptional students for leadership positions in government, business, and civil society. The school offers master’s programmes, executive education and doctoral programmes, distinguished by interdisciplinary and practice-oriented teaching, as well as outstanding research. Its extensive international network positions it as an ambassador of good governance, characterised by public debate and engagement. The school was founded in 2003 by the Hertie Foundation, which remains its major funder. The Hertie School is accredited by the state and the German Science Council.
We are looking for **2 Teaching Assistants** for Simon Munzert's lecture on “Introduction to Data Science” at the Hertie School.
This course will introduce you to the modern data science workflow with R. In recent years, data analysis skills have become essential for those pursuing careers in policy advocacy and evaluation, business consulting and management, or academic research in the fields of education, health, and social science. We will cover topics like version control (Git) and project management; data collection, wrangling, storage, and visualization; model fitting; advanced workflow issues, debugging, automation; and data science ethics.
Your tasks:
- Prepare and teach two weekly 90-minute labs, for 12 weeks, in person or online, depending on course needs;
- Attend and support one of the weekly Introduction to Data Science lecture;
- Student support, of which at least 60 weekly minutes should be regular office hours;
- Provide grading support and proctoring of exams and assignments for the instructor and assist with the development of the assignments themselves.
- Exam wrap-up and additional tasks of the Lead Teaching Assistant.
Your profile:
- A solid background in statistics (students at the Master‐ or PhD‐level)
- Extensive experience with the R statistical environment
- Excellent pedagogical skills (you should be able to explain the key concepts to highly motivated and hard‐working students with relatively little background in machine learning)
- If you have recently successfully completed the Introduction to Data Science course, and if you think you have necessary pedagogical skills, please do not hesitate to apply
- Any previous teaching experience is highly valued.
We offer:
A stimulating international and diverse environment in multiple areas of social science, high-quality teaching and public policy. The Hertie School is a vibrant academic community that emphasizes excellence in research and teaching as well as an interdisciplinary perspective. Our school has been certified as a family friendly work environment in higher education and an equal opportunity employer. Severely disabled applicants are given preferential consideration in the event of equal qualification.
To apply, please submit a CV and a short cover letter by using the button below. Applications will be reviewed on a rolling basis until the positions have been filled.
All contracts are issued for the duration of the Fall 2023 semester (01 August to 31 January). The total workload will be 195 hours (average of 7.5 hours per week) over the 6 months contract.
Important: The actual weekly workload can vary over the semester and will be agreed upon with the supervisor. The teaching period runs from early September to early December.
Please contact Simon Munzert, Professor of Data Science and Public Policy and Director of the Data Science Lab, for further information about the position.
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