Faced with an increase in the number of students, the Department of Computer Engineering and Information Systems (DEISI) at Lusófona University, Lisbon, is looking to recruit full-time PhD graduates with profiles in core areas of Computer Science (Informatics, Telecommunications, Networks, Signal Processing, AI,...).
In addition to teaching activities (max 12h/week), the candidate(s) will be associated with the COPELABS R&D Unit, assigned to DEISI, as integrated members, where they will have the opportunity to develop research activities.
COPELABS is the only 100% private research center (not linked to any public institution) in the ICT area (the Electrical and Computer Engineering panel + the Computer Science and Information Technologies panel of FCT) with strategic funding from FCT. In the last FCT evaluation in 2018, COPELABS was rated GOOD. Financial conditions are comparable to those of the civil service.
Os potenciais candidatos devem enviar um Curriculum Vitae. para: f7335@ulusofona.pt
1. Desenho de Sistemas de Localização Segura, with INESC-TEC
2. Codificação de dados esparsos para abordagens de reconstrução, classificação e aprendizagem, with IT
3. Técnicas de Transmissão de muito Alta Velocidade para os Futuros Sistemas de Comunicação sem Fios na Banda dos Terahertz, with IT
4. Segurança de nível físico melhorada para UAV, with IT and INESC-TEC
5. Monitorização de Ambiente Marinhos com Veículos Aéreos e Marítimos Não-Tripulados, with INESC-ID and CCMAR
6. Reconhecimento e identificação de cavalos através de inteligência artifical, with FCiências.ID
In 2020 Copelabs integrated members produced 71 publications in peer-reviewed international journals and/or conference proceedings, out of which 21 are Q1 (Scimago quartile) journals and 13 are Q2 journals. In total, 89 publications in peer-reviewed international journals and/or conference proceedings, out of which 55 are journal articles (25 Q1 and 19 Q2), were produced.
1. Building Secure Localization Infrastructure, with INESC-TEC
2. Sparse Signal Representations for Compressive Sensing and Machine Learning, with IT
3. Novel Ultra-high Speed Transmission Techniques for the Terahertz Band in Future Beyond-5G Networks, with IT
4. UAV enhanced physical layer security, with IT
5. Autonomous Multi-Vehicle Marine Environment Surveyor, with INESC-ID and CCMAR
6. Multiscale Self-Supervised Learning for Multimodal Medical Image Analysis , with ISR
In 2019 Copelabs members produced 82 publications in peer-reviewed international journals and/or conference proceedings, out of which 19 are Q1 (Scimago quartile) journals and 15 are Q2 journals.