Connectionists: Systems Engineer/Architect for Federated Learning

[Georgios Exarchakis]

The University Hospital Institute of Image-Guided Surgery (IHU 
Strasbourg) is searching for a systems engineer/architect to lead the 
development of the Federated Learning (FL) infrastructure for its 
research purposes across its partners. The ideal candidate will have the 
unique opportunity to work in state-of-the-art facilities within a 
multidisciplinary team of engineers and clinicians who shape next 
generation European medical research. The candidate will have the 
pleasure to live in Strasbourg, one of the most beautiful and vibrant 
cities in Europe.


Qualifications

  * Background in System design and architecture, Distributed systems
  * Familiarity with Federated Learning (FL) or desire to learn FL.
  * Preferable: knowledge of one of the FL frameworks: e.g. Nvidia
    Clara, OpenFL, TFF, PySyft, etc.
  * Python, Kubernetes, Docker, Cloud Computing (MLOps)


Responsibilities

  * Lead development FL infrastructure for consortium
  * Identify and utilize open-sourced FL framework for utilization based
    on consortium needs
  * Support system integrity (stability, security)
  * Integrate FL system with data warehouse
  * Mentor and train junior team members


How to apply

  * Please email your resume at alexandros.karargyris at ihu-strasbourg.eu
    with the title "System Engineer/Architect"
  * Position is open until filled
  * Initially, 2-year contract with a possibility to extend or convert
    to permanent position


About the project
CLINNOVA is a European initiative of the ‘Grande Région’ 
(http://www.granderegion.net/) which groups the French region Grand Est, 
Belgian Federation Wallonia-Brussels and Ostbelgien, German Saarland and 
Rhineland-Palatinate, as well as the Grand Duchy of Luxembourg. CLINNOVA 
project aims to unlock the potential of Artificial Intelligence (AI) and 
data science in healthcare, with the ambition of establishing a 
standard, sovereign, open, interoperable, European model. The overall 
objective of CLINNOVA is to enable a data-driven healthcare environment 
for AI solutions, which is based both on infrastructure investment and 
coordination between clinical stakeholders. The initiative aims to 
create a federated infrastructure of prospective standardised multimodal 
medical Big Data (e.g., biobanking, imaging) between participating 
institutes with a focus on autoimmune, inflammatory and cancer diseases. 
Research and development of AI algorithms on this amount of federated 
data is a unique exciting opportunity from both computer science and 
clinical perspective

About the institute
The University Hospital Institute of Image-Guided Surgery (IHU 
Strasbourg) i is a unique research facility offering a true 
multidisciplinary environment to innovate in the image-guided surgery 
domain. Surgeons and engineers work closely together on practical as 
well as moonshot research ideas. Promising ideas are funded and 
supported internally, competitive research grants or partnership 
programs, while developed and validated ideas are translated to products 
through licensing and startup spin-offs. The institute has strong 
collaborations with academia and industry. Located in the heart of 
Strasbourg’s historic hospital campus, the IHU Strasbourg is an 
international medical-surgical centre created in 2011, specialising in 
minimally invasive approaches (laparoscopy, flexible endoscopy, 
ultrasound, percutaneous surgery). The IHU brings together care, 
research, training, and technology transfer activities in an exceptional 
setting for the benefit of patients. Surgeons and engineers work in 
close collaboration on applied and innovative research topics. Upstream 
topics (TRL 0 to 2) are funded and supported internally through 
competitive research grants or partnership programmes. Mature topics 
(TRL 3 to 5) are transformed into products through licensing and 
spin-off companies. The Institute has strong collaborations with 
academia and industry
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