Assistant Professor
Polytech Paris Saclay
Section CNU 61
Teaching
➢ The selected candidate will teach in the Embedded Electronics & Computing (EIE) department of the Polytech Paris-Saclay, that is an engineering school, whose current teaching needs are focused on the main themes of computer enginee ring and embedded computing, with courses in the form of lectures, tutorials and practical work, both in the student and in apprentice training.
➢ The selected candidate will take part in courses on the development of software/hardware applications for embedded systems (C++, communication systems, GPUs, etc.), for which the dual skills of Windows and embedded Linux would be an asset. Depending on his/her aspirations, he/she may also take part in more specific courses on data processing (artificial intelligence, multimedia, etc.) or the Internet of Things (networks, protocols, etc.). Depending on his/her skills, he/she will also be involved in disciplines specific to embedded systems specific: FPGA (VHDL), Systems on Chip (SoC) and microcontrollers.
➢ The selected candidate will be integrated into the teaching teams. He or she will have to be involved in proposing and supervising tutored student projects, as well as in supervising training periods and apprentices. Particular attention will be given to any projects related to pedagogical innovation (project and problem-based learning, inverted classroom, active teaching, etc.), skills-based approaches and/or sustainable development and corporate social responsibility.
➢ Ultimately, the selected candidate will be expected to assume administrative or teaching responsibilities within the EIE department, in the same way as his/her colleagues.
Research activities
➢ The selected candidate will develop his/her research activity in one of the following laboratories: LISN, L2S, SATIE
➢ The LISN, Laboratoire Interdisciplinaire des Sciences du Numérique (https://www.lisn.upsaclay.fr/), brings together researchers and teacher-researchers from various disciplines, including Engineering Sciences and Computer Science. The selected person will work in one of the LISN teams, with priority given to the Human-Centered Interaction department (https://www.lisn.upsaclay.fr/research/research-departments/interaction-with-human/?lang=en). This department is interested in human-computer interaction from a multi-disciplinary perspective, combining computer science, signal processing and human sciences to design innovative hardware and software interfaces. Possible topics include those of the AMI team: (i) analysis of movement and gestures, either using sensors (acquisition, signal processing) or computer vision methods, (ii) design and implementation of human-computer interfaces, both hardware and software (e.g. haptic interfaces), (iii) study of non-conventional interactions including spatial, haptic and human-AI interactions. Depending on his or her research topics, the selected candidate will be able to collaborate with other LISN departments.
➢ The L2S (https://l2s.centralesupelec.fr/) conducts research in control theory, signal and image processing, and information and communication theory. Interdisciplinary topics related to artificial intelligence, life and health sciences, and digital developments in the energy sector are a major focus. The selected candidate will join the Signals and Statistics group or the Telecoms and Networks group. The topics covered by the Signals and Statistics group cover a wide range of issues in signal and image processing and data science, with societal challenges in areas such as health, energy and the industry of the future. The research carried out aims to propose solutions for the analysis of massive and/or heterogeneous, temporally and spatially correlated data, for the optimal planning of experiments and the resolution of inverse problems with high-performance computing challenges. The selected candidate will contribute to the statistical learning topic and will be able to interact with researchers in the laboratory on interdisciplinary topics such as environmental and climate sciences. Researchers in the Telecoms and Networks group work on network design, covering a wide range of activities, including the physical layer, network aspects and even the application layer. Research draws on fields such as signal and image processing, data science, information theory, coding theory, resource allocation, network management and virtualization, and artificial intelligence. Applications are at the interface of many fields, and our research activities contribute to today’s major challenges, such as IoT, 5G and 6G, smart cities, vehicular networks, energy efficiency, immersive video, cybersecurity and the industry of the future. The selected candidate will be involved in the life of L2S and in scientific activities. They will also benefit from the Université Paris-Saclay environment.
➢ SATIE is a joint research unit (UMR) falling under the disciplines of CNU sections 61 and 63, covering a wide range of electrical engineering topics: electronics, electrical energy and signal processing. The research is focused on information and energy technology systems and their applications. Among the possible host teams, those belonging to CNU section 61 (SICOIA and SIEU) develop algorithms and systems applied to
various fields such as the conservation
-restoration of cultural heritage, radio astronomy, security and defense, mobility (aeronautics, space and automotive) and energy networks. In SICOIA, the research topics focus in particular on the processing of multi-physical and heterogeneous data (e.g. conventional or non-conventional imagery, signals, text, etc.) and/or incomplete data (missing, partial or uncertain labels) and/or the detection of anomalies, in particular using statistical learning methods. In SIEU, the activities focus on Adequation-Algorithm-Architecture and multi-agent systems for mobility with a usage-related dimension. However, the profile remains open to other topics related to SATIE’s activities, in particular those in the areas covered by the Instrumentation and Imaging team. The selected candidate will be required to develop his/her research in the context of the laboratory’s projects.
CONTACTS
• Teaching : Marc Fonvieille, marc.fonvieille@universite-paris-saclay.fr, Sylvie le Hégarat, sylvie.le-hegarat@universite-paris-saclay.fr
•Research : Michel Beaudouin-Lafon, mbl@lri.fr (LISN), Pascal Bondon, pascal.bondon@centralesupelec.fr (L2S), Zoubir Khadir, zoubir.khatir@univ-eiffel.fr (SATIE)
Applications on GALAXIE : https://galaxie.enseignementsup-recherche.gouv.fr/antares/can/astree/index.jsp
