VIFASOM @Hôtel-Dieu-Paris
Pandore-IA project-Paris
- Type of contract: part-time (60%) fixed-term contract
- Level of qualification: PhD pr equivalent
- Function: postdoctoral research scientist
- Level of experience: recently graduated
- Start date: as soon as possible, before January 2024
The Pandore IA project
The objective of this project is to develop and validate a set of statistical learning methods and models
for predicting the physiological states of individuals performing intense physical activities under
specific conditions or environments, based on EEG, actigraphy, biological biomarkers, heart rate,
temperature, respiratory parameters…. It includes an experimental phase that will be carried out “in
the field” in an operational environment proposed by the VIFASOM team (Vigilance Fatigue and Sleep
Team in Hôtel-Dieu, and Bretigny), in relation with the French Army research institute IRBA) and
possibly with the French National sport institute (INSEP). To this end, a dedicated and sovereign
experimental environment consisting of a set of software tools, hardware and technical equipment
will be classified, stored, processed, exploited and data shared.
The two main domains of analysis would be:
- Detection of sleepiness and sleep states in operational situations and prediction of a staff’s state of consciousness (attention, awareness of the environment, interaction with the group and the environment, sleep, sleep disorders like insomnia, etc.)
- Prevention of hyperthermia with real-time prediction of exercise heat stroke and heat intolerance
This project aims to address the above issues by proposing a set of multidimensional AI methods
applied to physiological or other monitoring data.
The collaboration between the Université Paris Cité (VIFASOM) and SAAGIE (Rouen-France) company
will enable a team of researchers, engineers and medical and PhD doctors to participate in the design
and development of software modules and predictive models. Once developed, the team project will
deploy these prototype tools and test them in an ad-hoc technical environment in line with existing
research and expertise protocols.
Mission/Skills
The candidate will be involved in an interdisciplinary approach between neuroscience-ideally sleep and
vigilance-EEG, cognitive science, consciousness and computational approaches. The main missions will
be to program, run and analyze databases issues from research addressed by the teams involved in
the project on sleepiness- of athletes or subjects facing sleep restriction or operational environment.
The candidate needs to show high programming skills using Python, matlab, R or similar softwares.
Experience with human research on sleep, vigilance and thermoregulation is needed, as well as
redactional skills to write scientific papers and advancement reports
- Languages: Fluent English (speaking & writing)
- Relational skills: good interpersonal relation skills
- Other valued appreciated: sense of responsibility, self-driven, being curious, being team-playery
A regular basis physical presence will be expected for the term of the project. Working partly at home
may be discussed.
The supervising team
The medical and scientific supervision is organized with complementary skills for this interdisciplinary
project that associates human research data science and artificial intelligence with the supervision of
Damien Léger MD, PhD, VIFASOM, Hôtel-Dieu, Paris, Mounir Chennaoui, PhD VIFASOM IRBA, Paul
Bouchequet VIFASOM and Fabien SAUVET MD PhD, IRBA VIFASOM. Romain Picot-Clemente and
Patrick Giroux, from SAAGIE will provide scientific supervision for computational modelling,
development of software modules and predictive model
The work environment
The research team will be based at the VIFASOM lab of the Hôtel-Dieu, a beautiful hospital in the heart
of ancient neighborhoods of Paris, where participants will come for testing and treatment.
@Hotel-Dieu is also an exciting and innovative digital health data center supported by APHP, Université
Paris Cité and a group of health start up. The VIFASOM lab currently houses 3 PI and > 10 PhD students
and engineers working on various fields of cognitive science. This will offer the opportunity for fruitful
discussions and collaborations with SAAGIE in Rouen and the scientists in a stimulating workplace.
Nearby, the Université de Paris, Paris Public Health, PRAIRIE datascience and the Ecole Normale
Supérieure also offer many opportunities for exciting scientific training and conferences in cognitive science. The PhD students will have courses and scientific supervision at the Doctorate School Bio SPC
of Paris.
All supervisors endorse values of equity and diversity, and are committed to ensuring a safe,
welcoming, and inclusive workplace. Everyone is therefore strongly encouraged to apply.
Application
CV, motivational and recommandation letters should be sent to Pr Damien LEGER: damien.leger@aphp.fr Applications are reviewed on a rolling basis and all candidates will receive full consideration.
About
Université Paris Cité with its 61,000 students, 7,500 staff and 142 laboratories, is today the first
medical university in Europe and the University whose scientific publications are the most cited in
France.
The research team EA 7330 VIFASOM (Vigilance Fatigue and Sleep) was created in 2013. Co-directed
by Professor Damien LEGER and Mounir CHENNAOUI, it includes about thirty researchers who work on various themes related to sleep (Epidemiology, Effects of deprivation on alertness, performance,
risk of injury, and more recently on machine learning and IA).
Saagie, a company created in 2013, provides a platform to facilitate and accelerate the development
and deployment of projects dedicated to the exploitation and exploitation of big data (Big Data). This
solution integrates the best Big Data technologies of the moment around a Plug & Play orchestrator
supporting the DataOps methodology and allowing to embed artificial intelligence bricks to respond
to multiple use cases in fields of applications diverse and varied. Saagie now has a multidisciplinary
team of 90 people in Rouen, Paris, New York and London.