PostDoc Project
Dates:
2024/05/13 - 2025/05/13
Supervisor(s):
Description:
As part of the activities of the PhotoVivo platform (holder of the "Lorraine University of Excellence" Quality label),
CRAN developed and patented an optical spectroscopy device (called SpectroLive), used as part of a clinical trial
between 2016 and 2021 on 140 patients with skin cancers. The spectroscopic dataset thus created was published
and enabled a doctoral student specializing in artificial intelligence to develop supervised machine learning
algorithms (coded in Python) to carry out automated classification of optical spectra acquired from patients. In
order to offer the surgeon real-time diagnostic assistance, these algorithms must now be integrated into the
operating flow of the optical spectroscopy device (online and real-time treatments) and not remain remote as is
currently the case ( "offline processing"). The control software for the SpectroLive device was developed in Delphi
language (object-oriented Pascal language).
The future engineer specializing in software engineering recruited within the framework of this 12-month fixed-
term contract will have the mission of creating an executable program (in a language to be defined) which will
make it possible to classify in real time a spectrum acquired by the SpectroLive device on a patient and to display
the result in an ergonomic form, interpretable by the surgeon.
The future recruited engineer will work in a team made up of a plastic surgeon and four permanent CRAN staff: a
teacher-researcher specializing in signal processing, an assistant engineer specializing in instrumentation
development and instrumentation control software, two research engineers (one having coded the clinical
database in SQLite, the other having coordinated the project of developing the instrumentation and carrying out
the clinical trial ). Depending on the date of hire, the future recruit will be able to interact with the doctoral
student who developed the supervised classification programs.
The future recruited engineer will therefore be integrated into a multidisciplinary research team, must be
proactive and demonstrate autonomy to carry out their mission within the allotted timetable and according to the
project constraints (pre-existing medical device and machine learning codes), be interested in discovering the
research and medical environment, have knowledge of artificial intelligence and skills in software engineering.
CRAN developed and patented an optical spectroscopy device (called SpectroLive), used as part of a clinical trial
between 2016 and 2021 on 140 patients with skin cancers. The spectroscopic dataset thus created was published
and enabled a doctoral student specializing in artificial intelligence to develop supervised machine learning
algorithms (coded in Python) to carry out automated classification of optical spectra acquired from patients. In
order to offer the surgeon real-time diagnostic assistance, these algorithms must now be integrated into the
operating flow of the optical spectroscopy device (online and real-time treatments) and not remain remote as is
currently the case ( "offline processing"). The control software for the SpectroLive device was developed in Delphi
language (object-oriented Pascal language).
The future engineer specializing in software engineering recruited within the framework of this 12-month fixed-
term contract will have the mission of creating an executable program (in a language to be defined) which will
make it possible to classify in real time a spectrum acquired by the SpectroLive device on a patient and to display
the result in an ergonomic form, interpretable by the surgeon.
The future recruited engineer will work in a team made up of a plastic surgeon and four permanent CRAN staff: a
teacher-researcher specializing in signal processing, an assistant engineer specializing in instrumentation
development and instrumentation control software, two research engineers (one having coded the clinical
database in SQLite, the other having coordinated the project of developing the instrumentation and carrying out
the clinical trial ). Depending on the date of hire, the future recruit will be able to interact with the doctoral
student who developed the supervised classification programs.
The future recruited engineer will therefore be integrated into a multidisciplinary research team, must be
proactive and demonstrate autonomy to carry out their mission within the allotted timetable and according to the
project constraints (pre-existing medical device and machine learning codes), be interested in discovering the
research and medical environment, have knowledge of artificial intelligence and skills in software engineering.
Keywords:
software engineering, signal processing, machine learning
Conditions:
Duration: 12 months. The date of employment must be before 09/30/2024.
Employer: CNRS - Computer Sciences
Department: CRAN: Mixed Research Unit 7039, CNRS-University of Lorraine, BioSIS scientific department
(Biology, Signals and Systems in Cancerology and Neurosciences), "Photodiagnostic" project
Location: University of Lorraine - Brabois Santé Campus - Faculty of Medicine - CRAN (building D, 1st
floor), 9 avenue de la Forêt de Haye, 54500 Vandoeuvre-lès-Nancy (France)
Remuneration: ¬ 29,500 net annually (~ ¬ 2,450 net / month or ~ ¬ 3,100 gross / month)
Working conditions: 38 hours and 30 minutes of work / week, possibility of teleworking one day per week
(day to be agreed according to the constraints of the team and the project), 44 days of leave per year (to be
taken during the duration of the contract)
Recruitment level: Bac +5 in Digital and Computer Sciences (holder of an Engineering School Diploma or a
Master 2)
Contact: Marine Amouroux, PhD, Research Engineer, CRAN, marine.amouroux@univ-lorraine.fr
Application: please send a CV (including the email address of a person to contact for a recommendation)
and a cover letter
Employer: CNRS - Computer Sciences
Department: CRAN: Mixed Research Unit 7039, CNRS-University of Lorraine, BioSIS scientific department
(Biology, Signals and Systems in Cancerology and Neurosciences), "Photodiagnostic" project
Location: University of Lorraine - Brabois Santé Campus - Faculty of Medicine - CRAN (building D, 1st
floor), 9 avenue de la Forêt de Haye, 54500 Vandoeuvre-lès-Nancy (France)
Remuneration: ¬ 29,500 net annually (~ ¬ 2,450 net / month or ~ ¬ 3,100 gross / month)
Working conditions: 38 hours and 30 minutes of work / week, possibility of teleworking one day per week
(day to be agreed according to the constraints of the team and the project), 44 days of leave per year (to be
taken during the duration of the contract)
Recruitment level: Bac +5 in Digital and Computer Sciences (holder of an Engineering School Diploma or a
Master 2)
Contact: Marine Amouroux, PhD, Research Engineer, CRAN, marine.amouroux@univ-lorraine.fr
Application: please send a CV (including the email address of a person to contact for a recommendation)
and a cover letter
Department(s):
Biology, Signals and Systems in Cancer and Neuroscience |
Funds:
¬ 29,500 net annually (~ ¬ 2,450 net / month or ~ ¬ 3,100 gross / month)
Publications: