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Call for Researchers

We seek to reinforce and sustain cutting edge research at CRI Research Collaboratory, a rich collaborative community of the Université de Paris - INSERM Unit 1284. At CRI, we foster research at crossroads between interdisciplinary life and health sciences, understanding of learning processes leading to novel pedagogic modalities, and digital sciences. We look for researchers who wish to be part of a collaborative community, working in the context of open science and pursuing fundamental and applied breakthroughs to tackle aspects of the UN Sustainable Development Goals (SDGs) in the fields of Life, Learning or Digital Sciences.

The last deadline was in April 2021. We are currently restructuring our Fellow program and do not expect any new calls to be announced before mid-2022.

Positions available

We seek candidates at different career stages, from postdoctoral young investigators to tenured scientists. For brief description, expand the menus below. Click on the buttons for full information.

Women in Science Fellows

We recognize that the research world is often heavily gender unbalanced, and we wish to be a small part of the solution. Thus we created this fully-funded Team Leader fellowship for female scientists. See full details here.

Young Team Leaders

We wish to support early career and integration of candidates for tenure positions in our INSERM-Universite de Paris and of recipients (or candidates) of competitive external funding. See full details here.

Tenured Scientists

We wish to recruit established team leaders, with tenured positions in the French academic system to join our INSERM-Universite de Paris unit. See full details here.

Short-term Fellows

Scientists joining for 3-6 months to develop and prototype research projects through interactions with CRI Researchers. See full details here.

Talk with us

We are happy to talk with you before you submit your application. If you have any questions, please write to:

Focal Topics

We work in on the interface between life and health sciences, understanding of learning processes leading to novel pedagogic modalities, and digital sciences. To learn more about the focal topics of our research, expand the menus below.

Open Synthetic and Systems biology

Synthetic biology is no longer strongly limited by technology alone, and systems biology is supported by an unprecedented amount of quantitative data. The potential of these fields has moved beyond the proof-of-concept stage and it is time to ensure that it brings continued knowledge increase and sustainable equity and prosperity to society at large. We invite experimental researchers who wish to be part of a collaborative community, working in the context of open data and free ideas, to pursue enabling technologies that can lead to breakthroughs both fundamental and applied specifically to tackle aspects of the UN Sustainable Development Goals (SDGs).

We call for researchers are motivated by challenges such as blending machine learning and experimental data generation, synthetic biology-driven solutions to biomedicine, health, ecology and pollution as we believe they are most likely to succeed and scale in our premises. We wish to understand the big picture using a systems approach, and then be able to alter it using the synthetic approach as a fundamental approach that could serve as a scaffold, a common good, from which innovation can sprout.

We welcome projects encompassing a learning through research and participative/citizen science approaches. We are particularly interested in projects that embrace open/participative science, following these 10 tenets of Open Science.

Open Health

Ensuring that scientific data, methods, and opportunities for collaboration are open to all has a sweeping effect across scientific disciplines, removing barriers to conducting high quality, rigorous, and impactful scientific research.
There is a particular urgency in embracing the open principles in health sciences and medical research, where communities of researchers, health workers, patients, their families and the general public all share a common goal of rapidly advancing our capacity to improve human health.

We seek fellows that will develop, apply, validate and entrepreneur technologies to assess, track, predict, manage, improve health and contribute to understanding of disease.
Contexts may vary across age, health condition or disease (rare or common) but priority would be given to projects directly addressing health targets within United Nations Sustainable Development Goals (SDG 3) as reducing infant, maternal, substance-related morbidity, fight neglected, rare communicable or non-communicable diseases.
We wish to host research into personalized medicine, relying on open data to identify bio-, environmental-, social markers of disease or to improve quality of life of chronic patients.
The wealth of omics data and health parameters collected via personal devices urges research into ethics and policy but also invites data science approaches that can analyze and benefit from it though AI and machine learning.
Frugal hardware and software solutions that can be applied at scale and in low-resource settings are of particular interest. We also embrace Open Pharma projects. We look for empirical, community-driven health initiatives through development of mobile and web-based citizen science platforms and strongly believe that collective intelligence should be integrated throughout the scientific process, to form and test hypothesis and not only collect and number-crunch data.
We also welcome research on traditional and holistic approaches to healthcare and their integration into modern health treatments. A non-exhaustive list of projects that inspire us can be found here.

We pursue candidates who embrace open science and are able to harness the power of participative research to successfully catalyze, execute, and scale their projects. Potential candidates could be inspired and guided by the 10 tenets of Open Science established in the recent CRI advanced workshop.

Open Learning

Many of the world’s greatest current opportunities and pressing challenges were unheard of a few decades ago — but our education systems have changed little.
With this call we launch a comprehensive Open Science of Learning research effort to study and improve the learning practices, culture, and scope for today and tomorrow.
Open Science of Learning assures inclusion of all stakeholders in the research cycle, from hypothesis generation to data collection, analysis, replication, and translation. It transforms the research paradigm from considering learners and teachers as data providers to including them in a more meaningful way, as collaborators and researchers in their own right.

We seek scientists who will develop citizen science of learning through new types of platforms and tools that connect all stakeholders (learners, parents, teachers, researchers, institutions) and can curate and advance novel learning methodologies. Future researchers are invited to create realistic, feasible and cost-effective models for evaluation and validation of teaching methodologies, especially based on the power of data science, AI and machine learning techniques.
We support investigation into technology and digital tools in learning that can surpass geographic constraints and enhance accessibility to knowledge.
We are motivated by adaptive, personalized approaches to learning, specifically going beyond classical MOOCs and towards a distributed, scalable peer-to-peer models that can span across time, cultures and settings.
We do not limit the range of learning subjects, but wish to contribute to the UN Sustainable Development goals (e.g., SDG4 on Quality education). Similarly, we wish to expand the range of study settings to include learning in non-human, digital, and hybrid systems. Entrepreneurial projects as well as those investigating education policy and how to best prepare today’s learners for the society of tomorrow are equally welcome.

We pursue candidates who embrace open science and are able to harness the power of participative science to successfully scale and catalyze their projects. Potential candidates should be inspired and guided the themes discussed during the workshop on Open Learning recently held at CRI, summarized here, as well as by the 10 tenets of Open Science established in a more recent Open Health workshop.

Open Artificial Intelligence

In the past 10 years, machine learning and AI in general dramatically transformed our society by new automation, prediction and analysis capabilities. AlphaGo has beaten the world Go champion, OpenAI Five defeated the world e-sports game champions, and generative networks repeatedly created convincing fake content. . The emerging research questions associated with this transformation are both exciting and numerous. Recent workshop held at CRI identified the following four priority directions for AI research:

  • AI for data exploration, analysis, and knowledge extraction in scientific domains such as health, bioscience and learning, rather than simple predictions and extrapolations
  • data collection, storage, and management that takes into account economic viability, ecological sustainability, and people’s trust.
  • AI tool verification, relating outcome to intent, enabling transparency and accountability to regulatory agencies and the general public
  • AI impact in the real world, and specifically the challenges of educating with AI and educating about AI for both scientific peers and the general public.

Questions we find particularly motivating include:

  • How can we successfully use AI/ML for research on data that is scarce and/or expensive to collect/label (e.g. in physical sciences, where acquiring and tagging millions of data points is unattainable)
  • Can we understand the underlying algorithms: What are the basis for the decisions made? Can we detect and correct possible biases?
  • What impacts AI will have on our society? How can we make sure it will benefit the common good?
  • How can we leverage open and citizen based science approaches to build trust with non-experts and build an informed society?

By pursuing these directions, the interdisciplinary research in AI can go beyond the considerations of individual communities, take broader and more thoughtful views, and enable the promised digital revolution.

We welcome projects encompassing a learning through research and participative/citizen science approaches. We are particularly interested in projects that embrace open/participative science, following these 10 tenets of Open Science.

Profile Sought

We are looking for scientists who thrive in dynamic environments,

are inspired and motivated by daily interactions with diverse peers, work best in teams and comfortably mix disciplines, rearranging, straddling field boundaries and wish to explore uncharted domains.

We expect that our researchers will complement current competencies of the CRI and spark collaborative projects that go beyond the CRI community. Around 20% of the researchers’ time will be contributed to cross-CRI activities (research collaborations, teaching, mentorship). We encourage projects and methodologies that can be successfully piloted here but eventually forked, reused, and remixed by others, outside of CRI.

We wish to welcome everybody!

Knowing that the research world is overwhelmingly white, male, and old, CRI wants to rebalance that and reflect the composition of the world we live in. At CRI, we believe diversity drives innovation. We’re passionate about creating an inclusive workplace that promotes and values this statement which is an integral part of our history, philosophy, and identity. We’re building a safe place where difference is valued and welcomed. Also, see our Women in Science program, specifically recruiting early-career female team leaders!


The Collaboratory is the research arm of the CRI,

and while here the researchers will benefit from facilities that besides a wet lab include a state-of-the-art maker-space, game and digital labs, as well as support for virtual reality and MOOC/online content development. Additionally, we have a >350 strong international students community, at CRI to pursue undergraduate, master and PhD-level studies.

Depending on the type of position (see details within the inidividual calls), competitive personal stipend will be complemented by project running cost and research funds for PhDs and/or postdocs affiliated to the project.

Besides infrastructure, our collaborative academic ambience promotes and enables collaboration across disciplines and among researchers, students, faculty and members of the public.

Open Science Guidelines

We encourage candidates to follow 10 simple precepts,

to foster successful research in an open, ethical, rigorous and collaborative manner that were put forth in a recent international workshop at CRI. While workshop’s focus was Open Health, guidelines are useful for to Open Science at large.

  • Integrate ethical principles
  • Involve non-scientists
  • Clarify roles and rewards
  • Replicate prior work
  • Make research reproducible
  • Document everything
  • Publish and present accessibly
  • Emphasize research significance
  • Advocate open principles
  • Take calculated risks
What will be my administrative academic affiliation?

You will be officially affiliated to Université de Paris - INSERM Unit 1284, in addition to being part of the Center for Research and Interdisicplinarity (CRI).

Can you provide housing arrangements ?

Few individual studios may be available for fellows under 30 years old. However, we can make some recommendations and facilitate your search.

Do you have (insert your favorite science toy) available ?

Generally, we have:

On the Biology side: a fully equipped microbiology, and molecular biology lab, with a flow cytometer Fortessa X-20 equipped with a HTS module, liquid-handling TECAN robot, Labcyte Echo 550 acoustic liquid handler, multiple wide-filed fluorescence microscopes with temperature-controlled incubators, autofocus systems and sensitive cameras, microfluidics setup for bacterial cultures, incubators and microscopes for Drosophila work, L2 room with a hood, clean room.

On MakerSpace side: several 3D printers, laser cutters, basic mechanical tools.

The full list would be too long (and also constantly growing/changing), so it would be best to just send us an email and ask for any specifics! We strongly encourage collaborations with local Paris labs who may have the equipment you need. Also, you can certainly use your research money to purchase any additional equipment and we may be able to contribute if the equipment would be generally useful for multiple projects at CRI Research.

How many people are working at CRI Research ?

Our community is extremely dynamic. At present, we have over 50 PhD students, postdocs, researchers, interns, and staff, see our Teams page for more info.

What can I use my research budget for ?

You may use your research budget for: lab or other research consumables and services, publication cost, conference travel, small equipment. You can pay for off-site services (e.g. sequencing, cluster use), but not for off-site stipends or outstanding expenses (e.g. PhD student working entirely elsewhere, buying equipment for a collaborating institution). This list is not comprehensive, and specific allocations will be considered on case-by-case basis.

You can also use it for personnel (interns, PhD students, post-dosc, engineers, or technicians). The PhD Students should be recruited via the FDV Doctoral program.

Are there any teaching obligations ?

No. However, we expect you will be actively involved in mentoring students at all levels. We also encourage you to occasionaly teach in undergraduate, master or PhD courses, and generally be involved in CRI’s education and outreach activities.

Who can I contact for more info ?
Do I get a salary when I join CRI Research Collaboratory ?

Researchers who do not have a permanent position which pays their salary, or cannot finance it from a grant will receive a salary. See descriptions of different hiring opportunities for more details.

Can I work in a host laboratory outside of CRI ?

Fellows can certainly collaborate with external labs but their primary scientific residence should be at CRI.

Do I need a PhD to apply?

Yes. We are looking for scientists who are able to demonstrate they can conduct research independently.

Exceptions can be made for people who have extensive research experience but no formal degree and are applying for short-term fellow positions. None of the open positions are meant to be PhD scholarship and you cannot be pursuing your PhD degree in parallel.