Interactive graphics in python (Hilfsassistentenstelle)

Job description

For the coming year, we are looking for a «teaching assistant” (Hilfsassistent) for the implementation of interactive graphical elements in python-based JupyterNotebooks. These notebooks will be used as teaching tools in the DBIOL course “Bioanalytics”. We are looking for experience with matplotlib, plotly, ipywidgets and JupyterNotebooks as well as Python in general. A background in Chemistry, Biochemistry or Biology would be a plus but is not required.

You will work in a small team of 3-4 people. Except for a bi-weekly meeting you will have great flexibility in choosing your working hours and location. The planned workflow will be that we discuss the desired interactive features in a team. You will assess the feasibility of such feature and propose implementations or alternatives and then work on implementing these implementations that work with the general Python code that was developed for the non-interactive features.

Profile

• experience with Python and ideally with JupyterNotebooks
• experience with interactive graphics in Python using packages such as matplotlib, plotly and / or ipywidgets (ideally in a JupyterNotebook environment)
• team / service orientation
• curiosity
• selfreliance
• knowledge of / interest in Biology, Biochemistry or Chemistry are a plus but not a requirement.

Workplace

Workplace

We offer

chevron_right Working, teaching and research at ETH Zurich

We value diversity

In line with to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

If you would like to apply please use this platform to send :

Further information about the D-BIOL Center for Active Learning (CAL) can be found on our website Questions regarding the position should be directed to Dr. Ulrich Genick by email ().

About ETH Zürich