Data scientist (W/M)

Submission Information
Publish Date: 
Friday, June 18, 2021
Archive Date: 
Friday, August 27, 2021
To event remaining 30 days
Job Summary
Job Category: 
Scientific/Technical Staff
Institution Classification/Type: 
Research Laboratory
Institution/Company: 
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Department Name: 
LASTRO
City: 
Lausanne
State/Province: 
Canton de Vaud
Zip/Postal: 
1015
Country: 
Switzerland
Announcement
Job Announcement Text: 

Your mission :
The SCITAS platform provides EPFL researchers and partners with access to infrastructure and expertise in High Performance Computing (HPC). SCITAS also contributes to research and development activities so as to maintain the EPFL's reputation as a leading research facility.
SCITAS is looking for a Data Scientist to develop the Data Science activities and related astrophysical research developed at EPFL, in particular for the Square Kilometer Array and for the Cherenkov Telescope Array.
Ideal start date is Fall 2021, but can be negotiated.

Main duties and responsibilities include :
Participate to EPFL data science activities related to the radio astronomy projects at EPFL:
- Interact with the EPFL laboratories involved, in particular: astrophysics, signal processing, data science, machine learning, artificial intelligence, etc.
- Develop and implement data analysis, image reconstruction and source identification in the SKA pipeline as well as SKA-precursor experiments (HIRAX, LOFAR, MWA,ASKAP and MeerKat) in a scalable way
- Enable scientific codes for High Performance Computing, including benchmarking, profiling, and accelerating (with for example parallelization via MPI or GPU computing)
- Analyse scientific workflow organization and data logistics
- Report to the SCITAS Director and the LASTRO Director

Your profile
- You are enthusiastic about radio astronomy and data science
- You have obtained a Master or a PhD
- You have HPC and scalable software development expertise, in particular with GPUs
- You have experience in machine learning
- You have experience in data analysis and big data workflows
- You have good knowledge of English, and French or German

We offer
- A dynamic, interdisciplinary and international working environment
- An internationally visible and rising academic institution in HPC and Astrophysics
- A privileged contact with state-of-the-art technological developments
- Access to many continuing education courses.

Start date: September 202. Term of employment: Fixed-term (CDD). Duration: 2 years (renewable)

Remark :
Only candidates who applied through EPFL website (https://recruiting.epfl.ch/Vacancies/1863/Description/2) or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account. Your application will be evaluated at as soon as received. DL of submission 1st of August 2021. Please arrange 3 reference letters to be sent directly at: jean-paul.kneib@epfl.ch.

Contact :
For additional information, please contact by e-mail Dr. G. Fourestey gilles.fourestey@epfl.ch or Prof. J.-P. Kneib jean-paul.kneib@epfl.ch

Application Deadline: 
Sunday, August 1, 2021
Selection Deadline: 
Sunday, August 1, 2021
Current Status of Position: 
Accepting Applicants
Apply to Job
Attention To: 
Prof. Jean-Paul Kneib
Title: 
LASTRO Director
Institution/Company: 
EPFL
Department Name: 
LASTRO
City: 
Lausanne
State/Province: 
Canton de Vaud
Zip/Postal Code: 
1015
Country: 
Switzerland
Email: 
jean-paul.kneib@epfl.ch
Inquiries About Job
Attention To: 
Prof. Jean-Paul Kneib
Subject: 
Data scientist (W/M)
Email: 
jean-paul.kneib@epfl.ch