Who are we looking for?
The Sustainable Artificial Intelligence (SAI) unit is looking for a researcher with experience in machine learning for investigating pervasive intelligence and the Artificial Intelligence of Things (AIoT). The researcher will carry out investigations on solutions suitable for advancing towards a truly pervasive and liquid AI enabling edge devices, to accomplish training and inference with the same accuracy of cloud AI without harming our environment. The research will include highly efficient learning methods using model compression, reservoir and neuromorphic computing, and distributed/decentralized and collaborative data/client selection algorithms.
More information on the research unit: Sustainable Artificial Intelligence Supercom What do we offer?
We offer a temporary position (24 months) with an annual gross salary according to the profile of the candidate. Full-time contract: 7.5 h/day with flexibility. Expected professional category: R2 (More information: Professional Categories). Tenure track: Career progression with the possibility of stabilization through a permanent structural contract. Prospect start date: April 2024 or before. Continuous training, access to lab facilities, state-of-the-art infrastructure, and polyvalent working spaces, participation in scientific events and R&D projects, and complementary skills development.
We have great benefits for employees:
- Paid time off: vacation (33 working days per year), holidays, sick and parental leave, and more.
- Up to 3 days of Telework per week (2 fixed + 1 upon request). Other requests may be studied to accommodate special needs.
- Flexible working hours for work-life balance.
- Tax-free optional benefits: restaurant ticket, nursery ticket, transport pass, private health insurance for employees and family.
- Career path promotion (either professional category and/or annual gross salary).
- Annual productivity upon performance.
- Possibility to complement the salary with personal grants.
Qualifications and Experience
We are looking for a highly motivated, enthusiastic, energetic person, aiming at significantly improving his or her career perspectives in both public and private sectors. The successful applicant should have the competencies of R2 category.
Required qualification/skills/experience:
- PhD in Computer Science, Data Science, Telecommunications, or closely related fields (at the time of signing the contract).
- Knowledge of machine learning and edge computing.
- Knowledge of data mining and software libraries (e.g., Python, TensorFlow, Keras, PyTorch, SciKit, NumPy, R) for ML implementations.
Other skills that are valuable, but not mandatory:
- Knowledge of Optimization Theory (convex and non-convex optimizations) and Distributed Machine Learning (edge intelligence) is an advantage.
- Good publication record in scientific peer-reviewed journals and conferences.
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