Positions available for strong candidates to establish a world-leading research group in Artificial Intelligence for Autonomous Information Fusion:
--Postdoctoral Research Associate with support from US Air Force and UK Defence and Science Technology Laboratory
--PhD positions available with Thales, Safran, and Naval Group
--Internship positions available with Fraunhofer FKIE (Germany), NATO CMRE (Italy), CNES
There is substantial interest in the development of autonomous systems to enable remote surveillance of environments where it is too dangerous or too costly for humans to go. Advances in sensing technologies enable these to conduct more challenging roles. Sensors, such as radar, sonar and electro-optic sensors, play a vital role in situational awareness for defence and security in modern military operations. They provide the basis for tactical decision-making on the battlefield to enable the identification and response to threats. Current intelligence, surveillance and reconnaissance infrastructure relies on labour-intensive management and operation of individual sensors which is both costly in manpower and inefficient at exploiting their full capability. Autonomous information fusion technologies will enable the determination of the most pertinent information from sensors to enable intelligent decision-making. This involves the collection and fusion of data from a variety of different sensing assets and platforms. Advances in adaptive sensing have shown the potential for the development of automated systems to improve target detection, tracking, recognition, and classification in increasingly contested surveillance environments. However, to achieve full autonomy, there remains significant challenges to enable the integration of information from disparate and heterogeneous sensors.
This project on Autonomous Information Fusion will establish a world-leading research group that tackles critical Defence and Security challenges to enable Artificial Intelligence in modern surveillance systems across a wide range of sensing platforms. This will be achieved through the development of an integrated programme of research and training activities addressing basic and applied research problems and demonstrating their efficacy in collaboration with strategic partners. The leading investigator will strengthen the links between fundamental and user-inspired research in industry and government to meet the current and future needs of the French defence sector. The group will provide leadership, vision, and a clear strategy for the development in the field of Artificial Intelligence for Defence Applications and will act as a key internal and external representative for the research in this field, make a strong contribution to the wider research growth and profile in France, and actively drive the external profile of the research, both nationally and internationally.
Candidate profile: Mathematically-oriented engineering researchers. Candidates with BSc, Engineering Diploma, Masters, and PhD will be considered for positions at different levels. The focus of the work will be on developing innovative algorithms for statistical signal processing.
Contact: Dr Daniel Clark, firstname.lastname@example.org
Investigator Profile: Dr Clark is a pioneer in the development of the theory and applications. in the field of multi-object estimation and has made significant contributions that have enabled new capability for sensor fusion problems. Since 2007, Dr Clark has led a research team in multi-object estimation, with research spanning core mathematical methodology development through to practical demonstration across a range of different applications and demonstration in commercial trials with the UK government. In his 10 years of experience as a research team leader, Dr Clark has a strong track record of developing research staff and students to lead the field in innovative and unconventional algorithms and publishing high quality articles. He has collaborated closely with Dstl (UK Ministry of Defence) on a number of projects demonstrating capability across a wide range of military application domains, including harbour surveillance, detection and tracking objects in underwater environments, and for space situational awareness.
Host institution: Established in 2019, the Institut Polytechnique de Paris (IP Paris) is a partnership between École Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis. The research and education in Datascience and AI is one of the 4 priorities defined in the strategic plan of IP Paris. Research in AI is carried in 8 research laboratories, 6 of which are affiliated to the CNRS. CMAP and LIX also host 5 INRIA Project Teams (RandOpt, Xpop, Parietal, Cedar, Comete).
(c) GdR 720 ISIS - CNRS - 2011-2019.