Job offer

The Sustainable Artificial Intelligence (SAI) research unit is seeking a highly motivated postdoctoral researcher to join an internal research project focused on developing novel data-driven approaches for anomaly and novelty detection problems in cyber-physical systems. Moving beyond the classical mechanistic modeling paradigm, this exciting opportunity combines cutting-edge scientific computing methods and emerging computational tools, such as physics-guided learning and operator-theoretic system identification, to enhance the robustness of anomaly/novelty detection. The objective is to develop next-generation high-fidelity detection methodologies that overcome the classical barriers of traditional machine and deep learning models, such as (i) the significant amount of complete and well-balanced training data to identify and interpret abnormal events (e.g., cyber-attacks), (ii) the non-stationary and/or unforeseen data distributions, and (iii) irregular (and often rare) anomalous patterns during system transients.

The position holder will be joining the research activities of the SAI research unit and will be required to carry out fundamental research and disseminate results through scientific publications in high-quality journals and top-tier international conferences, as well as to organize special sessions and workshops on the research topics of the project.

PhD or equivalent, * 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 the R2 category.

• Required qualification/skills/experience:
• PhD in Computer Science, Data Science, Applied Mathematics, Signal Processing, or related field (at the time of signing the contract)
• Background in machine learning and scientific computing. [10 points]
• Strong programming experience in Python and/or Julia [8 points]
• Valuable qualifications/skills/experience
• Experience with physics-informed neural networks or ordinary neural differential equations (ODEs) [10 points]
• Experience with operator learning (e.g., Koopman operator, kernel methods) [8 points]
• Experience with differential equations, particularly stiff ODEs [8 points]
• Strong publication record and communication skills [8 points]
• Familiarity with Scientific Machine Learning (SciML) frameworks [5 points]
• Demonstrated contributions to open-source libraries on the topic [3 points]

Even if you do not meet all the technical requirements, we encourage you to apply

The candidates past performance but also future potential will be considered as criteria for selecting researchers.

Languages ENGLISH

What do we offer? :

• We offer a postdoc position (24 months)
• Annual gross salary according to the profile of the candidate
• Full-time contract: 7,5 h/day. Flexibility 37.5 h/week according to CTTC working time policy
• Expected professional category: R2.

Exceptional candidates may be considered even if they do not meet all the requirements. In this case, the professional category will be based on the qualifications and experience of the applicant according to the CTTC professional categories procedure (https://www.cttc.cat/wp-content/uploads/2022/02/CTTC-Professional-categ…).

• Prospect start date: 4th quarter 2026
• 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
• Career path promotion (either professional category and/or annual gross salary)
• Annual productivity upon performance

Selection process

• The Center Tecnològic de Telecomunicaciones de Catalunya (CTTC) is a non-profit public sector research institution dedicated to fundamental and applied research activities, focused mainly on technologies related to the physical, data link and network layers of communication systems and Geomatics.
• CTTC received the “HR Excellence in Research” award in 2015 from the European Commission and successfully passed into the Award Renewal phase in 2023. This is a recognition of the Institute’s commitment to develop a Human Resources Strategy for Researchers (HRS4R), designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers (Charter and Code). Our institution’s comprehensive analysis and HRS4R action plan meet all the requirements of progress and quality of our HR policies. CTTC promotes itself as a provider of a stimulating and favourable work environment for researchers.
• The CTTC is located in the beautiful Mediterranean Technological Park of Castelldefels, a science park that houses the Polytechnic University of Catalonia, research institutions, innovative companies and startups. The PMT-UPC is located 10 minutes’ walk from the beach and the city center of Castelldefels, also close to childcare centers, public schools and the best international schools. It can be reached by car, train (RENFE) and various bus lines.
• We have 2 buildings on campus, with state-of-the-art facilities, comfortable work spaces, meeting rooms, and multipurpose spaces, as well as social spaces.
• The institute has a multicultural environment with more than 130 members (scientific, technical and administrative staff) from all over the world.

CTTC offers and promotes a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, national origin, race, religion, or sexual orientation.

The CTTC seeks to increase the presence of women in those areas where they are underrepresented and therefore explicitly encourages them to stand as candidates.