Last Date: March 31, 2024.
Description
The Tuck School of Business at Dartmouth invites applications for a pre-doctoral research fellow. This full-time appointment starts in the summer of 2024 and will be over a period of up to two years with an initial one-year term.
The research fellow gains exposure to empirical research in the areas of Corporate Finance, Household Finance, and Financial Institutions. This position offers the opportunity to work closely with Tuck’s Finance faculty on research projects at all stages of the research process. Associated research duties entail assembling and statistically analyzing data, developing new research projects, reviewing the existing literature, writing up findings, and other research tasks. In addition, the research fellow will be warmly invited to participate in research seminars, conferences, and become an active member of the research community at Tuck.
This appointment presents an excellent opportunity to obtain valuable research experience and to acquire additional research skills. This position is ideally suited as preparation for applicants who are considering pursuing a Ph.D. in Economics, Finance, or related fields. Research fellows who apply to Ph.D. programs will be supported in preparing their applications. Further, we will provide the opportunity to engage in co-authored work that may be beneficial for graduate school applications and beyond.
Dartmouth is committed to diversity, equity, inclusion, and accessibility for its community. If you are an applicant with a disability and need accommodations to assist in the job application or interview process, please email [email protected]. 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.
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.
For additional 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.
Qualifications
The ideal candidate for this position
(1) holds (or is about to hold) an undergraduate or master’s degree in a quantitative field such as economics, mathematics, computer science, or physics,
(2) has taken coursework in statistics, econometrics, or data analysis,
(3) has strong coding skills and experience in using R, Stata, or Python for data analysis,
(4) solves problems independently and is highly motivated to do research in economics.
A background in economics or finance is not required. All candidates who can demonstrate quantitative skills and coding proficiency are encouraged to apply.
The research fellow will receive a competitive salary and benefits such as health insurance. The school will further provide a computer and technical support.
Dartmouth is highly committed to fostering a diverse and inclusive population of students, faculty, and staff. We are especially interested in applicants who are able to work effectively with students, faculty, and staff from all backgrounds, including but not limited to: racial and ethnic minorities, women, individuals who identify with LGBTQ communities, individuals with disabilities, individuals from lower income backgrounds, and/or first-generation college graduates. Applicants should state in their cover letter how their teaching, research, service, and/or life experiences prepare them to advance Dartmouth’s commitments to diversity, equity, and inclusion.
Full consideration will be given to all applications received by December 15, 2023. Applications received after this date will be evaluated on a rolling basis. No application received after March 31, 2024, will be considered.
Short-listed applicants will be requested to complete a coding exercise. Further considered applicants will be invited to a virtual interview.
Application Instructions
To apply for this position, please submit your application to http://apply.interfolio.com/135208. A complete application includes:
(1) Cover letter including a description of coding experience with R, Stata, and/or Python
(2) C.V.
(3) Academic transcripts with GPA (unofficial transcripts accepted)
(4) Two references (only references of short-listed candidates will be contacted)
(5) [Optional] Coding sample with complete terminal output/logfile and graphs
Apply
