2-years Post-Doctoral Position in Advanced statistical methods and medical imaging – searching for lesions

The MISTIS team at Inria develops structured stochastic models with statistical tools. The idea underlying the concept of structure is that stochastic systems that exhibit great complexity can be accounted for by combining simple local assumptions in a coherent way. In collaboration with the “Functional Neuroimaging and Brain Perfusion” team at the Grenoble Institute of Neuroscience, tools from the MISTIS team were tuned and applied to the search of lesions in medical images obtained by magnetic resonance imaging (MRI).

In the context of the Cross Disciplinary Program IDEX data@UGA (cf. below), we search a scientist willing to further develops advanced statistical methods with a possible application on medical imaging such as MRI. This scientist should work in a domain such as computer science, machine learning, optimization, signal processing, or statistics with a proven track record and a strong motivation for advancing knowledge in Life Sciences and Health.

This call an opportunity for a young scientist to shape its project together with the host laboratory. Application deadline is August 21st. Please contact us to discuss your project and prepare your application: https://team.inria.fr/mistis/ (contact: Florence Forbes, Florence.Forbes@inria.fr)

https://neurosciences.univgrenoblealpes.fr/equipe5 (contact: Emmanuel Barbier, emmanuel.barbier@univgrenoble-alpes.fr)

 

Generic call – data@UGA

We are looking for a junior research chair in Data Science for Life Sciences and Health starting in October 2018. The objective is to recruit an outstanding candidate motivated in developing or applying data science methodology and machine learning to Life Sciences and Health.

PROFILE

Université Grenoble Alpes invites applications for a 2-year junior research chair in Data Science for Life Sciences and Health starting in October 2018. The objective is to recruit an outstanding candidate motivated in developing or applying data science methodology and machine learning to Life Sciences and Health.

We are looking for candidates that will accelerate the uptake of data science analytics in Life Sciences and Health. Through his/her research activities in one of the research groups at Université Grenoble Alpes, the successful candidate should demonstrate the benefits of data science and modern data analytics in Life Sciences and Health. His/her research applications can concern bioinformatics, epidemiology, evolutionary biology, and neuroscience or other fields of Life Sciences and Health. His/her activities at Université Grenoble Alpes should in particular help demonstrating how opensource scientific software or new collaborative approaches (e.g. hackaton, data challenges) contribute to successful interdisciplinary research.

The research chair is funded by the Grenoble Alpes Data Institute, which promotes applications of data science in several scientific domains. The Grenoble Alpes Data Institute seeks to leverage methodological advances in machine learning, signal processing, statistics, and computational sciences to provide actionable tools for addressing concrete scientific challenges.

Research must be conducted in one of the labs affiliated with the Grenoble Alpes Data Institute. Gross salary starts at a minimum of 2379 euros and can be increased depending on the experience of the candidate.

Candidates for this position should be either:

  • a life scientist with experience in applying modern data analytics in his/her field and/or experience in open source scientific software development.
  • or a data scientist (computer science, machine learning, optimization, signal processing, statistics) with a proven track record in biological applications and a strong motivation for advancing knowledge in Life Sciences and Health.

ELIGIBILITY CRITERIA

Applicants must hold a PhD degree (or be about to have one) or have a University degree equivalent to a European PhD (8-year duration). Applicants will have to send an application letter in English and attach:

  • Their last diploma
  • Their CV
  • a two page research project
  • a list of publications and of references

Before sending your application, we can propose if needed a research lab where you can conduct your research. Please send an email to the director of the Data Institute (michael.blum@univ-grenoblealpes.fr) if you wish to discuss about a lab where you can conduct your research.

SELECTION PROCEDURE

Application deadline: August, 21 2018 at 23:59 (CET)