Postdoctoral Researcher in Computational Astrophysics and Star Formation
Dartmouth College

Postdoctoral Researcher in Computational Astrophysics and Star Formation

Location:
Hanover, NH
Open Date:
Oct 21, 2024
Description:
The Department of Physics and Astronomy at Dartmouth College invites applications for a postdoctoral position under the NSF-funded research project ORMAS (The Origin of Massive Stars), led by Profs. Brian Chaboyer and Paolo Padoan. The appointment is for two years, starting at any time between March 1 and September 1, 2025.  The ORMAS project investigates the origin of massive stars with supercomputing simulations of supernova-driven MHD turbulence adopting the new task-based, asynchronous code DISPATCH. The successful candidate is expected to contribute both to code development and numerical data analysis, hence strong programming skills are required. Previous experience with adaptive-mesh-refinement codes and familiarity with astrophysical gas dynamics is preferred. The researcher will interact with the astrophysics group at Dartmouth, as well as international collaborators at the Universities of Copenhagen and Helsinki. There will also be opportunities to collaborate with Dartmouth students on an outreach project.   This position is full-time, non-remote, in-residence at Dartmouth in Hanover, NH. The postdoctoral researcher will be primarily advised and hosted in the Department of Physics and Astronomy-a highly interactive and vibrant community of over 70 faculty, graduate students, and postdocs. Postdoctoral scholars are also supported by the Guarini School for Graduate and Advanced Studies, including their diversity and inclusion initiatives.  Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. People with different backgrounds, life experiences, and perspectives make the Dartmouth community diverse, which enhances academic excellence. In addition, we value applicants who have a demonstrated ability to contribute to Dartmouth's diversity initiatives in STEM research, such as the Women in Science Project, the EE Just STEM Scholars Program, and the Academic Summer Undergraduate Research Experience. Applicants should address in their cover letter how their research, teaching, service, and/or life experiences prepare them to advance Dartmouth's commitment to diversity in service of academic excellence. 
Qualifications:

PhD in astrophysics, physics or computational sciencesExpertise in computational physics, numerical methods, and high-performance computingInterest in gas dynamics, radiative transfer, and turbulenceFamiliarity with scientific programming (C , Fortran) and version control systemsStrong track record of relevant publications in peer-reviewed journalsExcellent oral and written communication skillsInterest in visualization techniques for large simulation datasets, using platforms like Python, Mathematica, ParaView, or comparable toolsAbility to interact and communicate effectively with people from diverse backgrounds, disciplines, organizational affiliations, and levels of expertiseCapacity to work independently with minimal supervision, demonstrating strong problem-solving and creative thinking skillsAbility to work well as a member of teams including undergraduate and graduate students, as well as collaborators at US institutions and abroadWillingness to travel to conferences and collaborative meetings, and to participate in or lead community-building activities

Major Duties/Responsibilities:

Conduct and analyze simulations; oversee large projects using national supercomputing resources; advance theoretical understanding of MHD turbulence and star formationPublish findings in peer-reviewed journals and present research at conferencesParticipate in departmental activities, engage with postdocs, graduate and undergraduate students, principal investigators, and project team members across partner institutionsFoster an equitable, inclusive, and antiracist lab environment; practice understanding-based communication techniques

Application Instructions:
Please submit the following materials electronically via Interfolio:

1. Cover letter
2. CV including publication list and contact information for three references (in a single file) 
3. Statement of research interest and previous computing experience (max. 2 pages)

Review of applications will begin on January 1, 2025; applications submitted after this date will be reviewed until the position is filled. Recommendation letters will be requested only for finalists. For questions about the position, please contact Prof. Paolo Padoan (Paolo.Padoan@dartmouth.edu). 
Equal Employment Opportunity Statement:

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of sex, race, color, religion, age, disability, status as a veteran, national or ethnic origin, sexual orientation, gender identity, gender expression, or any other category protected by applicable law, in the administration of its educational policies, admission policies, scholarship and loan programs, employment, or other school administered programs. Applications by members of all underrepresented groups are encouraged. 

If you are an applicant with a disability and need accommodations to assist in the job application or interview process, please email ADA@dartmouth.edu. In the subject line, please state "Application Accommodations" and include the job number or title. Someone from the ADA Compliance Office will be in touch within 2 business days.   

For additional employment opportunities at Dartmouth College, please visit the Dartmouth Interfolio Job Board, the Office of the Provost, and the Office of Human Resources.

Offers of employment are contingent upon consent to a pre-employment background check with results acceptable under Dartmouth policy. Please visit the Office of Human Resources for details.

All Dartmouth College employees must comply with the College's health and safety guidelines and protocols, including but not limited to those related to COVID-19, such as any testing, masking, or distancing requirements that may be in place at any given time or place.

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