Work with us

Two years (1 + 1) PostDoc in the project EASIER-COHORT: ExtrAction of Symptoms from electronIc hEalth Records to create automatic COHORTs

Location: Lyon, France

Application Deadline: 30 November 2023

Starting Date: January 2024

Contract Duration: 1 year (with possible extension to 2 years)

We are looking to hire one Postdoctoral Researcher to work on the project EASIER-COHORT: ExtrAction of Symptoms from electronIc hEalth Records to create automatic COHORTs funded by the SHAPE-Med@Lyon initiative. The position will be based at the Université Claude Bernard Lyon 1 and it’s in collaboration between the Laboratoire d’InfoRmatique en Image et Systèmes d’information (LIRIS), the Centre of Excellence in Respiratory Pathogens (CERP), and Santé publique, épidémiologie et écologie évolutive des maladies infectieuses (PHE3ID) team.

In particular, the candidate will be part of the Database Team (DB) and co-supervised by Prof. Angela Bonifati and Dr. Andrea Mauri.

The EASIER-COHORT project aims at developing NLP techniques to automatically retrieve information from free-text fields in the electronic health records (EHR), such as symptoms and comorbidities to integrate structured and unstructured data to create electronic cohorts of patients and address epidemiological questions.

As a part of the role you will 1) design, develop, and test text-mining algorithms for the detection of symptoms and comorbidities in unstructured text, and 2) collaborate with the experts of the CERP and PHE3ID) to evaluate the algorithms on real use cases. You’ll be responsible for writing academic papers, technical reports, and project deliverables, as well as attending academic conferences or project meetings to present your findings and serve as a representative for the team.

Requirements

A PhD in Computer Science, preferably on Natural Language Processing, Digital Health, Artificial Intelligence, or related topics
Provable fluency in at least one programming language, e.g., Python/R, Java, C++, Rust.
Proficiency in the French language is desirable. While the main language of the university is English, the health records are written in French.
Curiosity and passion for learning
Previous experience in the medical domain is a plus

To apply send an email to andrea.mauri@univ-lyon1.fr and angela.bonifati@univ-lyon1.fr with attached a single PDF containing

Cover letter in which you describe your motivation and qualifications for the position.
Curriculum vitae, including a list of your publications and the contact information of three references.

We strongly encourage interested candidates to contact us to know more about the position before sending the application.

PostDoc in Human Factor in Data-Intensive Applications for Health

Location: Lyon, France

Application Deadline: 31 January 2024

Starting Date: April 2024

Contract Duration: 1 year

We are looking to hire one Postdoctoral Researcher to work on Human Data-Intensive Applications for Health. The position will be based at the Université Claude Bernard Lyon 1 in the Laboratoire d’InfoRmatique en Image et Systèmes d’information (LIRIS).

In particular, the candidate will be part of the Database Team (DB) and co-supervised by Prof. Angela Bonifati and Dr. Andrea Mauri.

As a part of the role, you work on the integration of machine and human intelligence to design healthcare data-intensive systems more scalable, efficient, effective, and sustainable. This includes the investigation of how to integrate different kinds of data (from social media, sensors, lab studies, clinical trials, interviews, etc..), how to embed technology in a usually human-driven process, and how to provide trustworthy human-machine interactions in data-intensive applications.

You’ll be responsible for writing academic papers, technical reports, as well as attending academic conferences or meetings to present your findings and serve as a representative for the team.

Requirements

A Ph.D. in Computer Science or related topics such as Data Management, Human-Computer Interaction, Human-Centered AI, etc..
Provable fluency in at least one programming language, e.g., Python/R, Java, C++, Rust.
Curiosity and passion for learning
Not being afraid of multidisciplinarity and transdisciplinarity
Experience in the health domain is a plus.

To apply send an email to andrea.mauri@univ-lyon1.fr and angela.bonifati@univ-lyon1.fr with attached a single PDF containing

Cover letter in which you describe your motivation and qualifications for the position.
A research statement (max 2 pages, excluding references) where you describe the research you would like to do.
Curriculum vitae, including a list of your publications and the contact information of three references.

We strongly encourage interested candidates to contact us to learn more about the position before sending the application.