Assistant Jupyter Developer

20%-40%, Basel, fixed-term

We are looking for a motivated and independent code developer for Python in Jupyter to join us as a part-time assistant before or during spring semester 2024 at D-BSSE in Basel, Switzerland. The assistant position is suitable for students and other candidates with experience in JupyterLab and Jupyter Notebook programming, data visualization and/or numerical modeling.

Project background

The position is part of a teaching project to enhance the interactivity and accessibility of diagrams, plots and programming assignments in the Computational biology and bioinformatics and Biotechnology Master course 636-0122-00L “Introduction to Scientific Computing”, which is held at the Department of Biosystems Science and Engineering during spring semesters. Over the course of two spring semesters (2023 and 2024), interactive visualizations and coding solutions are developed in Python using Jupyter. This project thus offers the candidate a unique opportunity to actively contribute to augment the quality of teaching at ETH with modern tools in a popular programming environment.

Job description

Under the guidance of the lecturer, the candidate will independently develop and code Jupyter Notebooks that are to be included in the course 636-0122-00L “Introduction to Scientific Computing”. Since the resulting Jupyter Notebooks will become part of the lecture material, very clean and instructive Python coding is expected, to benefit the learning of future students. The Jupyter Notebooks will include visualizations and plots with tunable parameters that illustrate concepts from the existing lecture notes, and solutions to the coding assignments.

The part-time position is open immediately, and can last up to the end of spring semester 2024. A total of about 200 workhours is budgeted. The workdays are relatively flexible and can be aligned with the candidate’s availability.

Your profile

• Experienced Python/Jupyter programmer
• Independent coder
• Passion for elegant and clean code, diagrams and plots
• A background in numerical methods and scientific computing is beneficial
• An interest in applied mathematics and (bio-)physics would be a plus

Your workplace

Your workplace

We offer

We offer a unique opportunity to actively shape and improve lecture material used for teaching at the Master level at D-BSSE. The quality of the work output will directly benefit the learning of future students, and will be made publicly available online. The assistant will directly collaborate with the lecturer in the process.

Our offices are located on the campus of D-BSSE in Basel, Switzerland. Remote work is possible.

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Curious? So are we.

We look forward to receiving your online application with the following documents:

• A short motivational letter explaining your qualifications
• CV
• Transcript of records

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about D-BSSE and the research group can be found on our website . Further information about the lecture is accessible here . 

Questions regarding the position or project should be directed to Dr. Roman Vetter, [email protected]  (no applications).

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.