The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
Do you want to know more about LIST? Check our website: https: // www. list.lu/
How will you contribute?
Your specific mission includes, but is not limited to, participating into the following activities along the project partners:
· To design and development of privacy-preserving federated learning technologies for healthcare applications
· To prototype privacy preserving techniques (anonymisation, secure aggregation, etc.) for healthcare technologies
· To develop open-source software
· To validate the effectiveness of developed technologies
You will be responsible for developing tools and services for privacy- preserving federated learning solutions based on the given design specifications and preparing those tools and services for deployment (running tests, designing, and developing APIs, generating necessary documentation, etc.). You're highly motivated and have proven skills in software development, particularly in machine learning libraries (Keras, PyTorch, etc.). The candidate will also contribute to the writing of technical reports/project deliverables.
Is Your profile described below? Are you our future colleague? Apply now!
As to join us, you:
· Hold a Ph.D degree in Computer Science or related disciplines
· Have excellent software development skills (particularly experience on Docker, Docker-Compose, Python, Rust, C, C++ and Matlab)
· Demonstrate strong interest and experience in developing projects using machine learning libraries such as PyTorch, Keras, TensorFlow etc.
· Knowledge on security and cryptography (including developing projects using cryptography libraries) is a plus.
· Have strong knowledge of ML concepts, including Image Processing (Segmentation Analysis) Federated/Distributed Learning and/or Collaborative Training is a plus
· Are fluent in English. Any knowledge in French and Luxembourgish is an advantage
Your LIST benefits
Apply online
Your application must include:
Please apply ONLINE formally through the HR system. Applications by email will not be considered.
Application procedure and conditions
· LIST is an equal opportunity employer and is committed to hiring and retaining diverse personnel. We value all applicants and will consider all competent candidates for employment without regard to national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age or disability
· Applications will be reviewed on an ongoing basis until the position is filled
· An assessment committee will review the applications and select candidates based on guidelines that aim to ensure equal opportunities
· The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above
REQUIREDLANGUAGESTo be considered for this position it is crucial that you have knowledge of the following languages
Write C1 Advanced
Speak C1 Advanced
OPTIONAL LANGUAGESThe following languages are optional but are considered a plus.
Write C1 Advanced
Speak C1 Advanced
Write B2 Upper intermediate
Speak B2 Upper intermediate
minimum required Education
Required work experience in years
0 or more years
Job Category
Details
Employment type
Contract type
Hours per week
40
Contract period
Months
Contract duration
24
Location
Country
City
Esch-Sur-Alzette
Contract Type
Fixed Term contract
Recruiter in charge
Cathy SCHWARTZ
Employment type
Full-Time
UO
ITIS
Profile type
Researcher