Temporary contract | 24 months | Belval

Are you passionate about research? So are we! Come and join us

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

• An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
• Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
• Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
• An environment encouraging curiosity, innovation and entrepreneurship in all areas
• Personalized learning programme to foster our staff’s soft and technical skills
• Multicultural and international work environment with more than 50 nationalities represented in our workforce
• Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
• Gender-friendly environment with multiple actions to attract, develop and retain women in science
• 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
• Flexible working hours, home working policy and access to lunch vouchers

Apply online

Your application must include:

• A motivation letter oriented towards the position and detailing your experience
• A scientific CV with contact details
• List of publications (and patents, if applicable)
• Contact details of 2 references

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