29-03-2025
The Department of Computer Science at NOVA University Lisbon invites applications for 6 full-time, tenure-track (Assistant Professor) faculty positions in Computer Science. We are primarily interested in recruiting excellent candidates in the areas of the department’s research groups on Computer Systems, Intelligent Systems, Multimodal Systems, and Software Systems (see short description below). Exceptional candidates in other areas of Computer Science will also be considered. Tenured-level (Associate and Full Professor) applications are also welcome.
The selection process focuses on a candidate's proven research ability and dedication and how their expertise complements the Department’s established strengths. A doctoral degree in Computer Science or a closely related field is required. Tenure-track candidates should demonstrate exceptional research potential and the ability to work both independently and collaboratively.
Those applying for tenured-level positions must have a distinguished research record, international recognition, and strong leadership skills. Experience supervising graduate students is also highly valued at this level.
We will conduct a two-stage application process.
This first stage will serve to identify suitable candidates. During the first stage, we invite interested candidates to submit, by email to di.presidente@fct.unl.pt (with the subject “Faculty call 2025a”):
Once suitable candidates are identified and selected for further consideration, we will proceed to the second stage by opening a formal call to which candidates will have to apply.
For full consideration, first-stage applications must be received by May 22, 2025. However, applications will continue to be accepted until the positions are filled.
Located around one of Europe’s most vibrant and dynamic capitals, NOVA University Lisbon is a leading public institution recognized for academic excellence, global perspective, and a strong commitment to research and innovation. NOVA is a dynamic, interdisciplinary university composed of nine schools, each with its own identity and areas of expertise:
At the core of NOVA’s identity is a strong commitment to freedom of expression, pluralism, and equal opportunities for all. The university promotes a culture of merit, integrity, and responsibility, valuing excellence and independence in all its activities. As a public institution, NOVA is deeply engaged with society, upholding its mission of public service while fostering an inclusive and respectful environment where every member of the community is recognized and supported.
NOVA offers a vibrant, inclusive, and forward-thinking environment for individuals who are passionate about making a meaningful impact in education, science, and society.
NOVA School of Science and Technology (NOVA FCT) is one of the most respected engineering and science schools in Portugal, offering a dynamic academic environment and a strong commitment to interdisciplinary research, innovation, and societal impact. Located on the Caparica Campus just outside Lisbon, 5 minutes from the excellent Costa de Caparica Beach, NOVA FCT spans a broad spectrum of disciplines—including computer science, electrical and computer engineering, materials science, environmental sciences, mathematics, chemistry, life sciences, and industrial management engineering—supported by state-of-the-art infrastructure and research facilities.
The school is home to internationally recognized research units such as CENIMAT|i3N (advanced materials and nanotechnology), UCIBIO (molecular biosciences), and NOVA LINCS (computer science and informatics). These centers provide fertile ground for impactful research, international collaboration, and participation in EU-funded projects and global networks.
NOVA FCT places a high value on academic freedom, merit, and excellence in both teaching and research. Faculty members are encouraged to develop innovative pedagogical approaches, engage in cross-disciplinary initiatives, and contribute to the school’s strong culture of collaboration with industry, public institutions, and society at large. The school actively supports career development, international mobility, and the pursuit of funding opportunities at national and European levels.
The Department of Computer Science of NOVA School of Science and Technology is a pioneering institution in Portugal, renowned for its excellence in education and research in computer science and engineering. The Department offers a comprehensive range of programs, including undergraduate, master's, and doctoral degrees, taught both in Portuguese and in English and is also dedicated to advancing the field through innovative research conducted within the NOVA Laboratory for Computer Science and Informatics (NOVA LINCS), in collaboration with local and international industry and research units.
NOVA LINCS is a leading research lab in computer science and informatics. Hosted at the Department of Computer Science, it is committed to developing cutting-edge research in key areas of computer science, contributing to advanced education, and sharing knowledge, results, and innovations with society. Notably, NOVA LINCS received the highest research rating, 'Excellent,' in all the Portuguese National Science Foundation's evaluation exercises since its foundation (2013, 2018 & 2024).
NOVA LINCS comprises four research groups, offering broad coverage of computer science research: Computer Systems, Intelligent Systems, Multimodal Systems, and Software Systems.
The Computer Systems group focuses on enhancing the reliability, security, and performance of computer systems integral to daily life, including e-commerce, social networks, healthcare, and scientific applications. Its research addresses challenges in distributed data management, security and privacy, data processing, distributed algorithms and systems, peer-to-peer and decentralized systems, and concurrent and parallel computing. The CS group has a strong publication record in top conferences and journals, including VLDB, CCS, PETS, Usenix ATC, OOPSLA, ICDE, Eurosys, DSN, and TCC, having made significant contributions adopted by the industry, impacting systems used by millions of users worldwide.
The Intelligent Systems group focuses on developing more intelligent, autonomous, accountable, and trustworthy systems. Its research addresses challenges in artificial intelligence, specifically in machine learning, knowledge representation and reasoning, data analytics, and neurosymbolic AI. The IS group collaborates with other international and national researchers and practitioners, with a strong focus on technology transfer in the areas of Bioinformatics, Aerospace, and Natural Resources Management. The IS group has a strong publication record in top conferences and journals, including AIJ, IJCAI, AAAI, KR, AAMAS, ICML, and ISWC.
The Multimodal Systems group focuses on advancing algorithms and tools that close the gap between human needs and computational systems. Its research addresses challenges in bringing the new generation of large language models and large vision and language models closer to the way humans behave, in pursuing mixed reality methodologies and tools for cultural heritage, and in rehabilitation technologies. The MS group has a strong publication record in top conferences and journals, including ACM MM, ACM SIGCHI, ACL, WSDM, ECIR, EMNLP, and UIST.
The Software Systems group focuses on developing principles, techniques, and tools for building rigorous and trustworthy software systems. Its research leverages its expertise in requirements engineering, programming models, abstractions, and meta-programming techniques to address new challenges in emerging domains such as automated programming and swarm computing. The CS group has a strong publication record in top conferences and journals, including ICSE, CAV, TOPLAS, TOSEM, OOPSLA, ER, RE, ICFP, ECOOP, and ESOP.
The new Non-Habitual Resident (NHR) tax programme—known as NHR 2.0—is aimed to reinforce Portugal's appeal to highly skilled professionals and their families. Officially called the Tax Incentive Scheme for Scientific Research and Innovation (IFICI), the programme is designed to attract highly qualified professionals, including university and higher education professors, relocating to Portugal for both residence and employment purposes. The tax benefits include a flat 20% income tax rate on employment and professional income earned in Portugal for 10 years. Moreover, foreign-sourced income—such as dividends, interest, capital gains, and rental income—is largely exempt from taxation, making the country an attractive destination for international talent.
