Penn Foster
Software position with the HATPI project
Penn Foster, Princeton, New Jersey, us, 08543
Postdoctoral Researcher in Data ScienceWe invite applications for a postdoctoral or more senior researcher focused on data science in the Department of Astrophysical Sciences at Princeton University. The successful applicant will work with Prof. Gáspár Bakos, Dr. Joel Hartman, and a team of researchers, including graduate students, on the operation of and data reduction for HATPI, an ultra-wide field optical time-domain instrument being commissioned at Las Campanas Observatory in Chile.
The HATPI instrument uses 64 wide-field lenses and cameras to simultaneously observe one fourth of the celestial sphere at a fast cadence and high photometric precision. Science topics to be explored with the instrument include:
Transiting exoplanets
Variable stars
Transient phenomena
Moving objects
The data reduction products, including high-cadence high-precision light curves for millions of stars, are to be made public. Applicants should have knowledge of handling large data sets and efficient automated data reduction. Some knowledge of optical astronomy is desirable.
Responsibilities include:
Algorithm development and debugging
Writing robust, efficient code
Running and maintaining pipeline code
Evaluating the scientific performance of that code on real data
The researcher will also lead scientific investigations with the data in one or more of the science topics relevant to HATPI. Experience in Python, Unix (Linux), and software engineering practices is essential; additionally, experience in C/C++ would be an advantage.
A PhD in Astrophysics, Computer Science, Physics, or a related field, and expertise in scientific computing is required.
Appointments are for one year, renewable annually based on satisfactory performance and funding. The expected starting date will be between June 1, 2023, and October 1, 2023, although this is flexible.
Interested persons should submit a curriculum vitae, a publication list, and a research statement, and provide contact information for three references by January 31, 2023, 11:59 pm Eastern Time. Our department is committed to diversity and making the field more equitable and inclusive. With this in mind, we will take into consideration personal experiences, as well as efforts in education, outreach or other service activities related to astrophysics or other sciences. Applicants are invited to describe such experiences and their commitment to diversity, equity and inclusion in a separate statement, but this is not required.
Applicants must apply via the web at:
https://www.princeton.edu/acad-positions/position/28701 . Letters of recommendation will also be handled through this site. All applications received by January 31, 2023, 11:59 pm Eastern Time will be fully considered, but applications will continue to be accepted until the position is filled.
For further inquiries, contact Prof. Gáspár Bakos ( gbakos@astro.princeton.edu ). This position is subject to the University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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The HATPI instrument uses 64 wide-field lenses and cameras to simultaneously observe one fourth of the celestial sphere at a fast cadence and high photometric precision. Science topics to be explored with the instrument include:
Transiting exoplanets
Variable stars
Transient phenomena
Moving objects
The data reduction products, including high-cadence high-precision light curves for millions of stars, are to be made public. Applicants should have knowledge of handling large data sets and efficient automated data reduction. Some knowledge of optical astronomy is desirable.
Responsibilities include:
Algorithm development and debugging
Writing robust, efficient code
Running and maintaining pipeline code
Evaluating the scientific performance of that code on real data
The researcher will also lead scientific investigations with the data in one or more of the science topics relevant to HATPI. Experience in Python, Unix (Linux), and software engineering practices is essential; additionally, experience in C/C++ would be an advantage.
A PhD in Astrophysics, Computer Science, Physics, or a related field, and expertise in scientific computing is required.
Appointments are for one year, renewable annually based on satisfactory performance and funding. The expected starting date will be between June 1, 2023, and October 1, 2023, although this is flexible.
Interested persons should submit a curriculum vitae, a publication list, and a research statement, and provide contact information for three references by January 31, 2023, 11:59 pm Eastern Time. Our department is committed to diversity and making the field more equitable and inclusive. With this in mind, we will take into consideration personal experiences, as well as efforts in education, outreach or other service activities related to astrophysics or other sciences. Applicants are invited to describe such experiences and their commitment to diversity, equity and inclusion in a separate statement, but this is not required.
Applicants must apply via the web at:
https://www.princeton.edu/acad-positions/position/28701 . Letters of recommendation will also be handled through this site. All applications received by January 31, 2023, 11:59 pm Eastern Time will be fully considered, but applications will continue to be accepted until the position is filled.
For further inquiries, contact Prof. Gáspár Bakos ( gbakos@astro.princeton.edu ). This position is subject to the University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
#J-18808-Ljbffr