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Portail > Offres > Offre UMR7647-BERLEB-001 - Chercheur H/F: intelligence artificielle appliquée à capteurs à nanotubes de carbone pour la détection de contaminants de l'eau

Research position: artificial intelligence applied to carbon nanotube sensors for the detection of w

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General information

Reference : UMR7647-BERLEB-001
Workplace : PALAISEAU
Date of publication : Friday, November 30, 2018
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 February 2019
Proportion of work : Full time
Remuneration : monthly gross according to experience: 2600€ à 3600€
Desired level of education : PhD
Experience required : Indifferent

Missions

BACKGROUND
The proposed postdoctoral position will take place within the French ANR project 4Water “For WATER Quality Monitoring” dedicated to the development of environmental sensors for aquaculture application and the European-Indian Project LOTUS dedicated to the fabrication of “LOw-cost innovative Technology for water quality monitoring and water resources management for Urban and rural water Systems in India”.

India is facing a water and sanitation crisis. While a staggering 17% of the world population resides in India, the country's share of world water resources is small — only 4% — which creates a significant gap between water demand and availability. Furthermore, given that 80% of the country's water is used for irrigation, only 20% is available for drinking water and other industrial needs. Only 32% of households have access to a drinking tap water from a treated water source.

Digital water solutions, i.e., integrating ICT to water management, have the potential to improve water quality and availability for municipalities and consumers worldwide. Much needed water quality monitoring, which is traditionally slow, expensive and requires specialized personnel, can now be achieved on a real-time basis with no expertise involved. LOTUS and 4Water projects bring a new ICT solution for water and sanitation challenges in rural and urban area.

SOLUTION
This innovative solution for multi-parameter, real time, adaptable monitoring of water contaminants is based on carbon-nanotube chemistors in sensor array configuration. Each device in the sensor array exploits carbon-nanotubes carrying optimized, well-differentiated chemical functionalizations. So far, sensitivity to pH, chlorine, chloride, hardness and nitrates has been demonstrated. The technology is developed at Ecole polytechnique, within NACRE team, a joint research team between Ecole polytechnique, CNRS and IFSTTAR.

Each device in the array consists of a conducting network of multi-walled carbon nanotubes (MWCNT) directly ink-jet printed on Silicon between interdigitated electrodes. The MWCNT are functionalized by specific polymers. They are designed and synthesized in-house for their capability to 1) interact reversibly and selectively with the target analytes and to 2) interact strongly with the MWCNT. When the device is exposed to water containing a mixture of various species, in the absence of functionalization, most species are able to interact with the MWCNT-based devices, so there is no selectivity. In the presence of functionalized MWCNT instead, the devices respond selectively to the targeted analyte thanks to the functionalization.

Activities

The characterization in water of such sensor array, as well as their deployment in testing scenario (such as in Sense-City facility - http://sense-city.ifsttar.fr/), generates massive amount of data. This data contains all the information on the sensitivity, the selectivity and the ageing features of the sensor array. Presently, it is exploited in a straightforward statistical approach with little automation to derive the average sensitivities of the sensors to selected analytes. This approach has already been very successful, enabling to prove results at the state of the art in terms of carbon nanotube sensor array for water monitoring.

However, it is fairly well-known that electronic tongue algorithms are capable to exploit much more deeply cross-correlations between sensors (principal component analysis & regression, partial least squares, various types of neural networks). They thus may enable a drastic increase in sensitivity and selectivity. They may also provide information on factors perturbing measurements (such as cross-sensitivity to other chemicals, temperature…) as well as on sensor ageing.

The aim of the project is to evaluate the performances of such methods, and more generally of supervised and unsupervised machine learning, applied to carbon-nanotubes-based sensor array for chemical sensing in water.

The project includes not only the development and testing of e-tongue algorithms, but also in-depth interactions with the rest of the team (in charge of device fabrication and characterization) in view of developing experimental protocols and data management practices adapted to the use of automated data processing algorithms.

Skills

The successful candidate will have a strong background in data sciences, for instance in data analytics, machine learning or artificial intelligence.

Fluent English (written and spoken), high proficiency in technical writing and presentations. Autonomy, spirit of initiative, decision-making skills, creativity, team working.

Project management skills.

Work Context

The proposed postdoctoral position will take place within the French ANR project 4Water “For WATER Quality Monitoring” dedicated to the development of environmental sensors for aquaculture application and the European-Indian Project LOTUS dedicated to the fabrication of “LOw-cost innovative Technology for water quality monitoring and water resources management for Urban and rural water Systems in India”.

Position located in greater Paris area: Ecole polytechnique, Route de Saclay, 91128 Palaiseau, France.

Work within NACRE research team (IFSTTAR, Ecole polytechnique, CNRS), within Platine research platform (https://portail.polytechnique.edu/lms/fr/projet-platine) in LPICM laboratory (https://portail.polytechnique.edu/lpicm/en)

The team counts 3 researchers, 2 engineers, 1 technician, 8 to 10 young researchers (interns, PhDs, postdocs) and 2 startup projects. One of these startups (in creation) notably focuses on the commercialization of the sensor array technology for water monitoring.

The researcher will be in charge (typically ½ day per week, up to 1 day per week) of project management activity for LOTUS.

Additional Information

Call SC5-12-2018
Project number: #820881
Type: RIA
Start Date: 1st February 2019, duration: 48 months
Total budget: 5.48 Mln. €
LOTUS is co-funded by the European Commission under the Horizon 2020 programme and by the Indian Government, Ministry of Science and Technology

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