Job offer
Role details
Job location
Tech stack
Job description
Working under the guidance of John Baker in collaboration with others members of the L2IT gravitational wave group and other partners, the recruited person will explore advances in LISA science and data analysis to prepare for making scientifically compelling discoveries with LISA. Some examples could involve analysis of new frontiers in source scenarios or source physics, modeling or processing of instrumental effects and/or exploration of new combined analyses with additional astronomical data. This or similar studies will provide pathways to better understand what LISA is really capable of and what it will take to realize those capabilities.
The following documents must be submitted to the CNRS Job Portal:
- CV
- Research Statement
- Cover letter.
Candidates selected for an interview will be asked to provide at least 2 letters of recommendation by email.
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Develop and complete innovative investigations of LISA's science applications and statistically rigorous data analysis methods toward achieving them.
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Combine both independent and collaborative work to optimize scientific impact.
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Report on progress in journals and conferences, participate in collaboration meetings, and present technical developments when appropriate;
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Contribute to the success of the lab and the broader scientific LISA science community, working effectively in diverse international and interdisciplinary teams and contributing to mentoring more junior researchers.
The Laboratoire des 2 Infinis - Toulouse (L2IT) is a young and dynamic laboratory created in 2020 to conduct fundamental research with new numerical and theoretical approaches for data analysis. The laboratory's research is concentrated on particle physics, gravitational waves, and the equation of state of nuclear matter, and relies on a complementary development of analysis methodologies and data science led by the "Calculation, Algorithms, and Data" (CAD) team.
Requirements
We are looking for a person with a PhD in a field related to the LISA mission (or who is expected to obtain one by the date of appointment) and with relevant experience and a collaborative approach.
The work requires expertise in LISA-related science and/or LISA data analysis or similar expertise in a related context. Experience in science leadership and/or science community contributions are assets. English language skills (speaking and writing) and the ability to work both in a diverse team and independently are necessary for this position.