.Who are we looking for?The Sustainable Artificial Intelligence (SAI) unit is looking for a researcher with experience in machine learning for investigating on pervasive intelligence and the Artificial Intelligence of Things (AIoT). The researcher will carry out investigation 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. For doing so, 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: https://www.Cttc.Cat/sustainable-artificial-intelligence-sai/ and https://supercom.Cttc.Es/ .What do we offer?We offer a temporary position (24 months)Annual gross salary according to the profile of the candidateFull-time contract: 7.5 h/day. FlexibilityExpected professional category: R2 (More information: https://www.Cttc.Cat/wp-content/uploads/2022/02/CTTC-Professional-categories.Pdf ).Tenure track: Career progression with possibility of stabilization through a permanent structural contractProspect start date: April 2024 or beforeContinuous training, access to lab facilities, state of the art infrastructure and polyvalent working spaces, participation in scientific events and R&D projects, complementary skills development.We have great benefits for employees:Paid time off: vacation (33 working days per year), holidays, sick and parental leave and moreUp 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 balanceTax-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 performancePossibility to complement the salary with personal grantsQualifications and ExperienceWe 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 on 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 are:– 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
