Student Assistant Position (m/f/d, ≥40h/month)
Cluster of Excellence – Machine Learning for Science
Application deadline : 20.10.2021
The ML ⇌ Science Colaboratory at the Cluster of Excellence Machine Learning in
Science has a
Student Assistant Position (m/f/d, ≥40h/month) on advancing ML ⇌ Science
available to be filled as soon as possible. The contract will be for the
remainder of 2021.
The ML ⇌ Science Colaboratory runs introductory courses or workshops on
machine learning for domain scientists in Tübingen who might benefit from ML
methods in their own research.
Your tasks will be to assist us with curating existing teaching material,
to develop interactive examples for practical sessions, and to support us with
publishing educational content in various formats.
What matters most to us is that you share our enthusiasm for science
communication and teaching. Ideally, you have some prior experience with
machine learning, e.g. in previous courses or projects. The position is
particularly suitable for students of the ML Master or adjacent degree
programs, in which case you will be able to exploit synergies between your
curriculum and the material we develop. Familiarity with Python, including a
few common ML libraries (e.g. scikit-learn, pytorch) as well as Latex
typesetting is essential, as is English proficiency. Any level of expertise
with the Julia programming language is a plus, but not required.
Please send your application to Alexandra Gessner alexandra.gessnerspam
email@example.com. It should include (i) your CV, (ii) a recent
transcript of records, and (iii) a piece of original work by yourself
(could be a plot you are proud of, an excerpt from a report, or code that you
have produced). Additionally, a short paragraph on your motivation and
current situation of study (course plan) will be appreciated.
The deadline for application is October 20. Applications will be assessed
on a rolling basis until the position is filled.