2022-05285 - Scientific Engineer F/M Unveiling Neuroscience with a Domain- Specific Probabilistic Logic Language
Renewable contract : Oui
Level of qualifications required : PhD or equivalent
Fonction : Temporary scientific engineerAbout the research centre or Inria department
Located at the heart of the main national research and higher education cluster, member of the Université Paris Saclay, a major actor in the French Investments for the Future Programme (Idex, LabEx, IRT, Equipex) and partner of the main establishments present on the plateau, the centre is particularly active in three major areas: data and knowledge; safety, security and reliability; modelling, simulation and optimisation (with priority given to energy).
The 450 researchers and engineers from Inria and its partners who work in the research centre's 28 teams, the 60 research support staff members, the high- level equipment at their disposal (image walls, high-performance computing clusters, sensor networks), and the privileged relationships with prestigious industrial partners, all make Inria Saclay Île-de-France a key research centre in the local landscape and one that is oriented towards Europe and the world.Context
Neuroscience is at an inflection point. The 150-year old cortical specialization paradigm, in which cortical brain areas have a distinct set of functions, is experiencing an unprecedented momentum with over 1000 articles being published every year. However, this paradigm is reaching its limits. Recent studies show that current approaches to atlas brain areas, like relative location, cellular population type, or connectivity, are not enough on their own to characterize a cortical area and its function unequivocally. This hinders the reproducibility and advancement of neuroscience.
Neuroscience is thus in dire need of a universal standard to specify neuroanatomy and function: a novel formal language allowing neuroscientists to simultaneously specify tissue characteristics, relative location, known function and connectional topology for the unequivocal identification of a given brain region.
The vision of NeuroLang is that a unified formal language for neuroanatomy will boost our understanding of the brain. By defining brain regions, networks, and cognitive tasks through a set of formal criteria, researchers will be able to synthesize and integrate data within and across diverse studies. NeuroLang will accelerate the development of neuroscience by providing a way to evaluate anatomical specificity, test current theories, and develop new hypotheses.
NeuroLang will lead to a new generation of computational tools for neuroscience research. In doing so, we will be shedding a novel light onto neurological research and possibly disease treatment and palliative care. Our project complements current developments in large multimodal studies across different databases. This project will bring the power of Domain Specific Languages to neuroscience research, driving the field towards a new paradigm articulating classical neuroanatomy with current statistical and machine learning-based approaches.
This job takes part within the Neurolang ERC-Stg project. The candidate will integrate the MIND team condicting collaborative reserach with institutions such as NeuroSpin, the Brain and Spine institute at Paris, the Pasteur Institute, Université de Paris, Stanford, and Harvard. If the current world situation allows it, travelling will be involved.Assignment
Assignments : With the help of D. Wassermann, PI of the ERC grant NeuroLang, the recruited person will be taken to drive and develop neuroscience applications of the probabilistic logic language NeuroLang (neurolang.github.io). This will entail driving collaborations between cognitive neuroscientist and computerscientists and conduct independent research in evidence-driven neuroscience.
Some example pubications DSL-based programming applied to neuroscience and its uses and applications.
Examples of activities:
Technical skills and level required : Analysis of neuroimaging data, knowledge in neuroanatomy,
Desired skills: Machine Learning, discrete mathematics, programming language theory, data analytics, databases. Python programming and version control through Git/Github will be appreciated
Languages : Good English conversational and written skills
Relational skills : good Interpersonal Abilities and Problem- Solving/Reasoning/CreativityBenefits package
2653 € / month gross salaryGeneral Information
Theme/Domain : Data and Knowledge Representation and Processing Biologie et santé, Sciences de la vie et de la terre (BAP A)
Town/city : Palaiseau
The ideal candidate will have
Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.Instruction to apply
Defence Security : This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.
Recruitment Policy : As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.