Flatiron Research Fellow, Machine Learning & Statistics, Center for Computational Astrophysics (CCA)

Submission Information
Publish Date: 
Friday, September 21, 2018
Archive Date: 
Friday, January 11, 2019
Job Summary
Job Category: 
Post-doctoral Positions and Fellowships
Institution Classification/Type: 
Simons Foundation, Flatiron Institute
New York
United States of America
Job Announcement Text: 


The Center for Computational Astronomy (CCA), led by David Spergel, aims to become a focal point for computational astronomy around the world and plans to develop the computational tools needed for calculations, simulations and analyses.

Applications are invited for postdoctoral research positions as Flatiron Research Fellows at the CCA. Flatiron Research Fellows are generally two year-appointments, and may be renewed for a third year, contingent on performance. CCA research groups are in the following areas and include the following senior scientists: Astronomical Data (David Hogg); Compact Objects (Yuri Levin); Galaxy Formation (Greg Bryan & Rachel Somerville); Gravitational Wave Astronomy (Will Farr); and Cosmology X Data Science (Shirley Ho & David Spergel); Dynamics (Kathryn Johnston). A description of the research groups and the full CCA research team can be found at https://www.simonsfoundation.org/flatiron/center-for-computational-astro....


The CCA is looking for highly motivated individuals with a strong background in one of the following fields: computer science, machine learning and statistics with an interest in astrophysics cosmology and/or large datasets. Flatiron Research Fellows in ML/Stat will develop novel computational and inferential approaches for analysis of large datasets or generation of simulations including but not limited to the field of astrophysics. The fellows will work on research programs supervised by the research scientists, group leaders and the director. Flatiron Research Fellows are encouraged to carry out an independent research program, collaborate with other Flatiron members (including all centers within the Flatiron Institute: Center for Computational Astrophysics, Center for Computational Biology and Center for Computational Quantum Physics; https://www.simonsfoundation.org/flatiron/), and participate in the vibrant activities of the Institute such as workshops and seminars, and mentor students.





  • Ph.D. in a related field


Related Skills & Other Requirements


  • Research experience incomputer science, machine learning and/orstatistics
  • Ability to do original and outstanding research in Machine Learning or Statistics


Required Application Materials


  • CV
  • Research statement outlining both past research accomplishments and a vision for scientific research at the Flatiron Institute
  • Three (3) letters of recommendation submitted confidentially by the letter writers to astro@simonsfoundation.org


When submitting your application, please read and follow the guidelines from AAS, which is available here: https://jobregister.aas.org/postdoc-application-guidelines



  • All applications must be submitted no later than January 15, 2018.



Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation provides equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law.

Application Deadline: 
Tuesday, January 15, 2019
Selection Deadline: 
Tuesday, January 15, 2019
Current Status of Position: 
Accepting Applicants
Apply to Job
Attention To: 
Flatiron Institute