[Python-de] PhD studentship available: Workflows for reproducible computational science and data science, Application deadline 1 December 2019

[H Fangohr]

Dear all,


Disclaimer: the funded position advertised below are to work in my team on data analysis at European XFEL (hosting the world’s brightest laser in a 3.4km long tunnel) in Germany (by Hamburg).

Quick summary:

Requirements
• Degree in Physics, Computer Science or a related field
• Programming experience (any language)
• English is the working language, hence good communication skills in English are necessary
• ideally experience with at least some libraries and tools from the scientific computing Python ecosystem such as Jupyter, IPython, numpy, scipy, matplotlib, pandas, ploty, bokeh, xarray

Desirables
• experience with data science, computational science, data analysis, data-heavy experimental science would be welcome


More details at https://fangohr.github.io/vacancies/dashh-reproducible-workflows.html <https://fangohr.github.io/vacancies/dashh-reproducible-workflows.html>

If you have any questions, please get in touch with me.

Application deadline is 1 December 2019, likely start date is ~May 2020

Best wishes,

Hans








Prof Hans Fangohr
Senior Data Analysis Scientist
European XFEL GmbH Holzkoppel 4
22869 Schenefeld
Germany

Phone:+49 (0)40 8998-6702
Fax: +49 (0)40 8998-1905
Email: hans.fangohr at xfel.eu <mailto:hans.fangohr at xfel.eu> 
web: http://fangohr.github.io <http://fangohr.github.io/>
blog: http://fangohr.github.io/blog <http://fangohr.github.io/blog>
Twitter: https://twitter.com/ProfCompMod <https://twitter.com/ProfCompMod>

Managing Director: Prof. Dr. Robert Feidenhans’l, Dr. Nicole Elleuche

Registered as European X-Ray Free-Electron Laser Facility GmbH at Amtsgericht Hamburg, HRB 111165


Professor of Computational Modelling 
University of Southampton
Southampton, SO17 1BJ
United Kingdom
fangohr at soton.ac.uk <mailto:fangohr at soton.ac.uk>