empirical research fellow

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Research Fellows

When you join kellogg as a research fellow, you become part of a community..

Every year, Kellogg offers a limited number of Research Fellow opportunities. These are full-time staff positions that last either 1 or 2 years during which the Fellows gain exposure to current academic research at Kellogg as well as hands-on experience assisting those projects. These are excellent opportunities for anyone who is considering applying to a PhD in a discipline related to business research.

The Fellows who are currently on staff have access to many resources for their professional and academic development. We organize panel discussions on topics such as PhD Admissions and PhD Life specifically for our pre-doctoral audience. We also offer training and advice on advanced computational techniques from the professional experts in our Research Support team. Research Fellows are encouraged to network with Kellogg's PhD students, join reading groups, and of course to take advantage of the rich array of research seminars and guest speakers that take place at Kellogg and Northwestern.

Kellogg is committed to creating and maintaining a diverse and inclusive environment. We invest in programs, partnerships, initiatives, and events that unleash the transformative power of diversity and inclusion in the Kellogg community. Thus, we encourage people from underrepresented groups and non-dominant backgrounds to apply their unique contributions to our fellowship program. We are a proud member of the Pathways to Research and Doctoral Careers (PREDOC) consortium. 

Contact us about Kellogg Research Support

College of Arts & Sciences

Pre-doc Opportunity: Stanford Law School Empirical Research Fellowship

Posted in Undergrad Opportunities

Several professors at Stanford Law School, including economists John Donohue, Dan Kessler, and Alison Morantz, are seeking full-time Research Fellows (Pre-Docs) to begin work in the summer of 2024. This is a unique opportunity for graduating seniors and recent college graduates to participate in groundbreaking empirical legal and social science research. Past fellows have found the experience to be valuable preparation for graduate school and have matriculated to a number of prestigious graduate, law, and business programs. We would greatly appreciate it if you could pass along the attached job posting (also copied below) to your students at your convenience.

Sincerely, Stanford Law School Research Fellows

Call for Papers – 2019 International Junior Faculty Forum 2019 International Junior Faculty Forum

EMPIRICAL RESEARCH FELLOW, STANFORD LAW SCHOOL

Commitment:

Full-time, starting Summer 2024. Some applicants available to start earlier will also be considered. Fellowships last for one year, with an option to renew for a second year by mutual agreement of the professor and the fellow.

Description:

Assist faculty members at Stanford Law School in conducting timely and policy-relevant research in empirical social science, including economists John J. Donohue, Daniel Kessler, and Alison Morantz. Designed for graduating seniors or recent college or master’s program graduates, the fellowship provides a unique opportunity for those considering graduate school, law school, and/or business school in the future.

Prior Research Fellows have matriculated to Ph.D. programs at Harvard, Stanford, Yale, MIT, Princeton, Columbia, and NYU and law school at Harvard, Yale, Stanford, and Columbia. They have been drawn from a variety of undergraduate disciplines, including economics, political science, applied math, public policy, statistics, and computer science.

Successful applicants will be matched with a specific professor based on background and interests. As full-time Stanford University employees, fellows will receive a competitive salary and benefits package, including medical, dental, and vision insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.

Job responsibilities will vary by position, but involve all aspects of the research process including:

• Conceptualization of suitable empirical methodologies and models
• Collecting, managing, and structuring quantitative datasets
• Statistical analyses of complex datasets and interpretation of results
• Communication with government officials, industry stakeholders, and research collaborators
• Report writing and manuscript preparation

Job qualifications:

• Experience in a quantitative discipline, such as economics, political science, computer science, statistics, or applied math
• Training in causal inference and/or machine learning methods
• Bachelor’s degree, preferably in the social sciences or another relevant field
• Outstanding academic credentials and intellectual creativity
• Eagerness to take initiative and solve intricate problems
• Excellent time-management skills and ability to work effectively with minimal supervision
• Exceptional research and analytical writing skills
• Programming experience in R, Python, Stata, SAS, and/or other languages is strongly preferred
• Prior research experience and coursework in the empirical social sciences is preferred, but not required

How to apply:

We are currently accepting applications for the class of 2024 – 2025. To apply, please fill out and submit the application online, https://streak-link.com/Bomokso9PQsx_mCBXAc6oXuD/http%3A%2F%2Flaw.stanford.edu%2Fresearch%2Fsls-fellowships%2Fempirical-research-fellowship%2F . If you have any additional comments or questions, please see the FAQs on the fellowship website above.

Consistent with its obligations under the law, Stanford University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job. Additionally, Stanford is an equal employment opportunity and affirmative action employer. All qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected bylaw.

Flyer: https://drive.google.com/file/d/1e_3_ajVjAwvvX9QGZLYC_OS1dT95X170/view?usp=sharing

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Stanford Law School

Empirical research fellow, stanford law school.

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Commitment: Full-time, starting Summer 2025. Some applicants available to start earlier will also be considered. Fellowships last for one year, with the opportunity to renew for a second year based on performance and mutual agreement of the professor and the fellow.

Description: Assist faculty members at Stanford Law School conducting timely and policy-relevant research in empirical social science, primarily economist Dr. John J. Donohue . Designed for graduating seniors or recent college or master’s program graduates, the fellowship provides a unique opportunity for those considering graduate school, law school, and/or business school in the future.

Over the past 5 years, predoctoral fellows have matriculated in PhD programs at: Harvard (Economics), Berkeley, (Economics), Columbia (Economics), Harvard (Sociology), Harvard (Health Policy), MIT (Economics), Northwestern (Economics), UC San Diego (Economics), University of Chicago (Economics), Cambridge (Economics), University of Pennsylvania (Economics), University of Pennsylvania (Finance). In the past 5 years, predoctoral fellows have also matriculated in law school at Stanford Law School, Yale Law School, and Cornell Law School.

As full-time Stanford University employees, fellows will receive a competitive salary of $68,640/year. This represents a good faith estimate of what Stanford University expects to offer as compensation. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. You will be eligible to elect a benefits package, including medical, dental, and vision insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.

Job responsibilities will vary by position, but involve all aspects of the research process including:

• Collecting, managing, and structuring quantitative datasets
• Conceptualization of suitable empirical methodologies and models
• Statistical analyses of complex datasets and interpretation of results
• Communication with government officials, industry stakeholders, and research collaborators
• Report writing and manuscript preparation

Job qualifications:

• Experience in a quantitative discipline, such as economics, political science, computer science, statistics, or applied math
• Training in causal inference and/or machine learning methods
• Bachelor’s degree, preferably in the social sciences or another relevant field
• Outstanding academic credentials and intellectual creativity
• Eagerness to take initiative and solve intricate problems
• Excellent time-management skills and ability to work effectively with minimal supervision
• Exceptional research and analytical writing skills
• Programming experience in R, Python, Stata, SAS, and/or other languages is strongly preferred
• Prior research experience and coursework in the empirical social sciences is preferred, but not required

How to apply: There will be two rounds of application review. The deadline for the first round is 7:00AM PST on Monday, October 21, 2024 . All applications received before this date are guaranteed to be read while there is a spot open. After this date we will still be accepting applications, however preference will be given to first round applications.

Applicants with OPT are automatically eligible for this position. Depending on the circumstances, applicants who require J-1 visa sponsorship may also meet the eligibility requirements. Please apply online at law.stanford.edu/research/sls-fellowships/empirical-research-fellowship. Make sure to upload each of the following:

• Brief cover letter explaining your interest in the position and which graduate degree(s), if any, you hope to pursue
• Current resume
• Transcript (unofficial version acceptable)
• Short academic writing sample, preferably empirical or social science-related
• Contact information for no fewer than two academic references who can attest to your academic research skills and for any additional references who can speak to your character and professional skills

If you have any additional comments or questions, please see the FAQs on the fellowship website .

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability that requires accommodation to perform the essential functions of their job.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. 

Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.

Empirical Research Fellows – Stanford Law School

Several Stanford Law School professors are seeking full-time Empirical Research Fellows to begin work in the summer of 2022. This is a unique opportunity for graduating seniors and recent college graduates to participate in groundbreaking empirical legal and social science research. Past fellows have found the experience to be valuable preparation for graduate school and have matriculated to a number of prestigious graduate school and law programs.

For more information please see the flyer here .

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Pre-doc Opportunity: Stanford Law School Empirical Research Fellowship

EMPIRICAL RESEARCH FELLOW, STANFORD LAW SCHOOL

  Commitment: 

Full-time, starting Summer 2024. Some applicants available to start earlier will also be considered. Fellowships last for one year, with an option to renew for a second year by mutual agreement of the professor and the fellow. 

Description:

Assist faculty members at Stanford Law School in conducting timely and policy-relevant research in empirical social science, including economists John J. Donohue, Daniel Kessler, and Alison Morantz. Designed for graduating seniors or recent college or master’s program graduates, the fellowship provides a unique opportunity for those considering graduate school, law school, and/or business school in the future. 

Prior Research Fellows have matriculated to Ph.D. programs at Harvard, Stanford, Yale, MIT, Princeton, Columbia, and NYU  and law school at Harvard, Yale, Stanford, and Columbia. They have been drawn from a variety of undergraduate disciplines,  including economics, political science, applied math, public policy, statistics, and computer science. 

Successful applicants will be matched with a specific professor based on background and interests. As full-time Stanford University employees, fellows will receive a competitive salary and benefits package, including medical, dental, and vision insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.

Job responsibilities will vary by position, but involve all aspects of the research process including: 

▪ Conceptualization of suitable empirical methodologies and models 

▪ Collecting, managing, and structuring quantitative datasets 

▪ Statistical analyses of complex datasets and interpretation of results 

▪ Communication with government officials, industry stakeholders, and research collaborators 

▪ Report writing and manuscript preparation

Job qualifications: 

▪ Experience in a quantitative discipline, such as economics, political science, computer science, statistics, or applied math

▪ Training in causal inference and/or machine learning methods

▪ Bachelor’s degree, preferably in the social sciences or another relevant field 

▪ Outstanding academic credentials and intellectual creativity 

▪ Eagerness to take initiative and solve intricate problems 

▪ Excellent time-management skills and ability to work effectively with minimal supervision 

▪ Exceptional research and analytical writing skills 

▪ Programming experience in R, Python, Stata, SAS, and/or other languages is strongly preferred 

▪ Prior research experience and coursework in the empirical social sciences is preferred, but not required

How to apply: 

We are currently accepting applications for the class of 2024 – 2025. To apply, please fill out and submit the application online at law.stanford.edu/research/sls-fellowships/empirical-research-fellowship . If you have any additional comments or questions, please see the FAQs on the fellowship website above.

Consistent with its obligations under the law, Stanford University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the   essential functions of their job. Additionally, Stanford is an equal employment opportunity and affirmative action employer. All qualified applications will receive consideration for   employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by   law.

•   Newsletter

BELS Fellowship

The application period for the 2024-2025 academic year is February 7 - April 19th, 2024 

The Center for the Study of Law and Society (CSLS) at Berkeley Law is pleased to announce the Graduate Fellowship in Empirical Legal Studies for the Academic Year 2024-2025 . The University of California Berkeley has long been associated with innovative empirical research on law, at least since the founding of the Center for the Study of Law and Society by Philip Selznick in 1961. CSLS is one of the headwaters for the law and society field and empirical legal studies. Today, Berkeley Empirical Legal Studies (BELS) is characterized by a rich interdisciplinary approach that seeks to ground empirical analysis theoretically and embrace a broad range of methods, both quantitative and qualitative. 

BELS Fellows will be doctoral students drawn from a wide range of disciplines across the UC Berkeley campus, including those in the Social Sciences, Arts and Humanities, Biological Sciences, International Studies and Area Studies, Schools of Public Health, Business, and Public Policy, Colleges of Natural Sciences and Engineering, as well as from the School of Law (PhD, JD and JSD). We anticipate ten to twelve (10-12) Fellows will be selected annually. 

Eligibility : UC Berkeley doctoral, JD, and JSD students engaged in theoretically-informed, empirical research projects that investigate the origins, dynamics, and/or consequences of law and law-related social institutions. Preference will be given to students who will be in their third year or beyond during the period of the Fellowship. We welcome projects that use quantitative and/or qualitative methodology, and address contemporary or historical contexts. Students are expected to be in residence at UC Berkeley for the duration of the period they hold a BELS Fellowship. 

The benefits of the Fellowship are: 

1) A research fund of $2,000  to offset expenses related to the research process (e.g., purchase of data sets, transcription and/or coding costs, purchase of equipment such as tape recorders, purchase of video tapes, research related travel costs, subject costs, copying expenses, computer software, etc.). Salary may not be funded by the Fellowship. 

2) Monthly BELS Fellows Workshops led by CSLS Faculty Director KT Albiston where Fellows will present and discuss their research. Fellows will also have the opportunity to attend and participate in CSLS activities, such as the Empirical Methods Mini-Series, the CSLS Speaker Series, and other conferences and events. 

3) Opportunities for informal scholarly exchange with other Fellows from many UCB departments, faculty members from Berkeley Law and other units on campus, and with many of the visiting scholars doing research at CSLS.  Visit the links below for more information about the application process and to access application materials.

BELS Fellowship Information

BELS Fellowship Application Cover Sheet

Application Procedure

For further information: 

If you have questions about the application process, contact [email protected] .

For questions about your eligibility, your research project or the BELS Fellowship, please contact Professor Catherine Albiston, CSLS Faculty Director, at  [email protected]

Fellowship Information

Current bels fellows.

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Academic Experience for Research Fellows

The Research Fellows Program is designed to help you decide if a career in academic research is right for you and to prepare you to excel in your doctoral studies in the future.

Throughout your two-year experience, you will learn how to conduct research firsthand by working closely with faculty as a research assistant. Dovetailing with your research assistantship, you will engage in world-class academics at Stanford by taking coursework and participating in seminars to acquire new skills.

Research Assistantship

Our research fellows participate in research projects and assist with empirical papers initiated by faculty in a variety of fields and interdisciplinary topics. You’ll be encouraged to think critically, and be active participants in the research process.

Projects generally involve manipulation of large data sets and sophisticated statistical modeling that require strong programming skills. Day-to-day work will mostly utilize statistical packages such as R, Matlab, or Stata.

Choose a Track

There are two distinct tracks of research assistantship, both of which provide 40 hours per week of research experience. You can expect to work closely with faculty mentors and receive individual instruction on the techniques required in either track.

Rotate between projects with different faculty each quarter based on project availability and your interest.

Dedicated Track

Provide dedicated research support to specific faculty members for the duration of the program.

As part of your fellowship, you will be able to take one graduate-level course in business, economics, statistics, math, or related field each quarter. Coursework can strengthen your application to a PhD program by helping you to fill gaps in your knowledge, expand your areas of interest, and acquire new skills. 

You will consult faculty when selecting your coursework and, when you finish the program, you may have completed up to eight courses at Stanford. 

Seminars & Boot Camps

To prepare you for your research work, you will participate in two boot camps at the beginning of the program, which are focused on programming and econometrics. Each boot camp is taught by a PhD student for one to two hours per day over the course of one week.

You will then attend weekly seminars throughout the program with other research fellows to present your research, exchange ideas, and share progress reports. Faculty mentors and doctoral students jointly conduct these sessions to facilitate a free flow of exchange and a supportive research environment. In these sessions, you will build your skills for synthesizing, discussing, and answering questions about research. At the end, you will also have the opportunity to ask faculty about their research, careers, and advice.

There are also research seminars offered across Stanford GSB that you are welcome to attend. These seminars showcase the latest research, and are a good opportunity to engage with and learn from the research community.

• Faculty Spotlights

Hanno Lustig

“In the process, people will discover that there are some holes in their own background. So, we encourage our fellows to take classes here at Stanford, either classes offered at the GSB or in the broader Stanford community.”

Adina Sterling

“You can, over a two-year period of time, really get to know if a PhD is right for you. You get to work with faculty on a day-to-day basis doing research in a way that you can’t any other way.”

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Research Fellowship in Law & Natural Language Processing

Julian Nyarko is a professor at Stanford Law School who applies tools from natural language processing and machine learning to legal research questions. This full-time research fellowship provides opportunities to assist Professor Nyarko in his research. The fellowship is aimed at recent graduates who are considering entering a graduate degree program (Ph.D. / JD) in the near future. The inaugural fellow began a Ph.D. at MIT after the fellowship.

Examples of Current Projects

• Development of methodology and best practices to employ language models for hypothesis testing in the social sciences
• Legal document parsing and segmentation
• Unsupervised identification of novel legal ideas and concepts
• Assessment of overreporting on minority suspects in crime reports issued by the police via social media

Responsibilities

Specific responsibilities can vary over time, but generally include:

• Conceptualization and implementation of statistical models
• Collecting, managing, and structuring quantitative datasets
• Report writing and manuscript preparation

The full-time position is intended for a duration of two years. It is expected that the fellow will be physically present in and working from Stanford Law School. As full-time Stanford University employees, fellows will receive a competitive salary and benefits package, including medical, dental, and vision insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.

The expected base pay salary for this position is $67,000. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.

Qualifications

Experience and knowledge of the following is required :

• A Bachelor’s degree in a relevant field
• Experience with statistics
• Programming experience
• Ability to work under deadlines with general guidance

Experience and knowledge of the following is highly desirable :

• A Bachelor’s degree in computer science with a background in NLP, a Bachelor’s degree in (computational) linguistics or in symbolic systems
• A strong, demonstrated interest to conduct academic research in a relevant field
• Interest in legal research
• Interest in causal inference and social science
• Experience with machine learning / deep learning
• Substantial experience with Python
• Substantial experience with R

How to Apply

All positions are currently filled. Please check back again in early 2025.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.

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Fellowship Opportunities

The NIH Department of Bioethics welcomes applications for fully funded two-year postbaccalaureate and postdoctoral research fellowships. Fellows are central to the activities and intellectual life of our interdisciplinary department, including weekly bioethics seminars, case conferences, ethics consultations, IRB deliberations, and other educational opportunities at NIH. They study ethical issues related to biomedical research, clinical practice, genetics, biotechnology, public health, health policy, population health and health disparities, and other important issues in bioethics. They also conduct mentored theoretical and empirical research. For a typical fellow, this research yields multiple first-authored publications in academic journals. We do not require or expect bioethics experience and encourage anyone with a strong interest to apply.

Fellowships begin in September of each year. Stipends are determined by NIH Intramural Research Training Award (IRTA) guidelines.

Our post-baccalaureate fellowships are ideal for students interested in eventually pursuing an MD, JD, PhD, or other graduate degree. Applicants for the post-baccalaureate fellowship must have an undergraduate degree completed no more than 3 years prior to the start date of the fellowship or a master’s degree completed no more than 6 months prior. Only U.S. citizens or U.S. Legal Permanent Residents are eligible for post-baccalaureate fellowships.

Applicants for the post-doctoral fellowship must have completed a doctoral degree no more than 5 years prior to the start date of the fellowship. Postdoctoral applications are welcome from philosophy, law, medicine, social sciences, and other disciplines. U.S. and non-U.S. citizens are eligible for post-doctoral fellowships.

Applications should include:

• Statement of interest up to 1000 words which explains your interest in bioethics, how the fellowship fits into your career goals (including how it would be valuable to you), and what potential bioethics topics you would like to investigate. While previous bioethics experience is not required, please explain why bioethics is of interest to you. For applicants with previous bioethics experience or training, explain how this fellowship would build on your previous efforts. You may also discuss any aspects of your background or experience that would bring a unique perspective or contribute to diversity in the department or the field of bioethics. We are dedicated to building a vibrant, diverse, and inclusive community in our department.
• One or two writing samples that total no more than 30 double-spaced pages and which demonstrate your analytical or critical thinking ability. They need not be on a bioethics topic and there is no preference for published work. Most successful applicants submit samples that defend a position or analyze an argument. Empirical investigations, both quantitative and qualitative, are also welcome. Single-authored writing samples are preferred. If a co-authored sample is submitted, the applicant should describe their role in writing the paper.
• Three letters of recommendation
• Undergraduate and graduate transcripts

Applications for the postbaccalaureate and postdoctoral fellowships beginning in the 2024 academic year are open and available online .

Applications for postdoctoral candidates are due by 11:59pm EST on January 1, 2024, and applications for postbaccalaureate candidates are due by 11:59pm EST on January 15, 2024.

For further information see the Bioethics home page , contact [email protected] , or call 301-496-2429. For information on stipends see www.training.nih.gov/programs .

• Fellowship Goals and Requirements
• Information on how to write a bioethics research proposal for our research fellowship
• Fellowship Alumni

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Deadline Extended! Stanford Law School Empirical Research Fellowship Opportunity

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Description

Assist with the research of Professors John J. Donohue , Jacob Goldin , Daniel Ho , Daniel Kessler and Alison Morantz at Stanford Law School . Designed for graduating seniors or recent college or master’s program graduates, the fellowship provides a unique opportunity for those considering graduate school, law school, and/or business school in the future.

Prior Research Fellows have matriculated to Ph.D. programs at Harvard, Stanford, Yale, MIT, Princeton, Columbia, and NYU and law school at Harvard, Yale, Stanford, and Columbia. They have been drawn from a variety of undergraduate disciplines, including economics, political science, applied math, public policy, statistics, and computer science.

Successful applicants will be matched with a specific professor based on background and interests. As full-time Stanford University employees, fellows will receive a competitive salary and benefits package, including medical, dental, and vision insurance, access to campus athletic and academic facilities (to the extent that any ongoing pandemic restrictions allow), paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.

Full-time, starting Summer 2022. Some applicants available to start earlier will also be considered. Fellowships are full-time positions lasting approximately one year, with an option to renew for a second year by mutual agreement of the professor and the fellow.

Responsibilities

Job responsibilities vary by position, but involve all aspects of the research process including:

• Conceptualization of suitable empirical methodologies and models
• Collecting, managing, and structuring quantitative datasets
• Statistical analyses of complex datasets and interpretation of results
• Communication with government officials, industry stakeholders, and research collaborators
• Report writing and manuscript preparation

Qualifications

• Experience in a quantitative discipline such as economics, political science, computer science, statistics, or applied math
• Bachelor’s degree, preferably in the social sciences or another relevant field
• Outstanding academic credentials and intellectual creativity
• Eagerness to take initiative and solve intricate problems
• Excellent time-management skills and ability to work effectively with minimal supervision
• Exceptional research and analytical writing skills
• Programming experience in R, Python, Stata, SAS, and/or other languages is strongly preferred
• Prior research experience and coursework in the empirical social sciences is preferred, but not required

How to Apply

There will be two rounds of application review. The deadline for the first round is 7:00AM PST on Monday, October 18, 2021. The deadline for the second round is extended to 7:00AM PST on Monday, January 3, 2022. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants. The position is visa sponsorship eligible (J-1) and applicants with OPT are also eligible for this position. Please apply online at https://law.stanford.edu/research/sls fellowships/empirical-research-fellowship/ . Make sure to upload each of the following:

▪ Brief cover letter explaining your interest in the position ▪ Current resume ▪ Transcript (unofficial version acceptable) ▪ Short academic writing sample, preferably empirical or social science-related ▪ Contact information for at least two references, preferably ones able to speak to academic research skills

Please see our FAQ page . If your question is not addressed there, please email us at [email protected]. Do not contact the professors or their support staff with any questions about hiring.

Connect with us:

Contact us: 9a-5p, M-F | 134 Mary Gates Hall | Seattle, WA 98195 | (206) 543-0535 tel | [email protected]

The Division of Student Life acknowledges the Coast Salish people of this land, the land which touches the shared waters of all tribes and bands within the Suquamish, Tulalip, and Muckleshoot Nations. Student Life is committed to developing and maintaining an inclusive climate that honors the diverse array of students, faculty, and staff. We strive to provide pathways for success and to purposefully confront and dismantle existing physical, social, and psychological barriers for minoritized students and communities. We engage in this work while learning and demonstrating cultural humility.

Research Fellow in Empirical Law and Finance

🔍 school of law, stanford, california, united states.

Qualifications:

●       A Bachelor’s or Master’s degree in a relevant quantitative field (e.g., economics, finance, business, data science, statistics, or a related field)

●       Experience with statistics

●       Programming experience in Python and substantial programming experience in Stata, R, SAS or similar statistical programming language

●       A strong, demonstrated interest to conduct academic research in a relevant field

●       Outstanding academic credentials and intellectual creativity

●       Eagerness to take initiative and solve intricate problems

●       Excellent time-management skills and ability to work effectively with minimal supervision

●       Exceptional research, analytical writing, and communication skills

●       Prior experience with machine learning and natural language processing is a plus.

Professional Development Opportunities:

●       Collaborate with Stanford business law faculty, gaining insights and mentorship for academic or professional advancement.

●       Exposure to empirical research methodologies, building a foundation for graduate studies in law, business or economics.

●       Opportunity to co-author research papers.

●       Active involvement in impactful research projects.

●       Access to a multitude of academic workshops in law, business and economics that are open to the Stanford community.

Salary and Benefits :  

The expected pay for this position is $67,000 per annum.  Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate is determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.

Stanford provides excellent retirement plans, time-off, and family care resources, which you can read more about here: https://cardinalatwork.stanford.edu/benefits-rewards

Application Instructions: To be considered, please submit the following items along with your online application:

●       Statement of interest (including a summary of relevant prior experience)

●       CV

●       Transcript

●       Sample programming code

●       Contact information for at least two references, preferably one able to speak to academic research skills 

The deadline for the first round is 12pm PST on Monday, February 5, 2024. The deadline for the second round is 12pm PST on Monday, March 4, 2024. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants.

*Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

*The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

*Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.

*Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

• Schedule: Full-time
• Job Code: 1384
• Employee Status: Fixed-Term
• Department URL: http://www.law.stanford.edu/
• Requisition ID: 101780
• Work Arrangement : On Site

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Estimating Crop Evapotranspiration in Data-Scare Regions: A Comparative Analysis of Eddy Covariance, Empirical and Remote-Sensing Approaches

• Published: 17 September 2024
• Volume 9 , article number  65 , ( 2024 )

Cite this article

• Nikhil Gladwin Cutting 1 ,
• Samanpreet Kaur 1 ,
• Mahesh Chand Singh 1 ,
• Nisha Sharma 2 &
• Anurag Mishra 3  

Maximizing water productivity amid agricultural water scarcity demands accurate crop evapotranspiration (ET c ) estimation. While the Penman–Monteith method is standard, its dependence on extensive meteorological data restricts use in data-scarce regions. Eddy covariance offers precise ET c estimation but is resource-intensive. Satellite remote sensing, like MOD16, offers a promising alternative for ET estimation. Several empirical models are also available, out of which suitable alternatives can also be identified for the regions with limited weather data availability, where eddy covariance and remote sensing techniques become limitations. Consequently, a study was undertaken to investigate the performance of eddy covariance method (Eddy Tower based), empirical models, and a remote sensing technique for computing crop evapotranspiration under rice–wheat cropping system at Naraingarh Seed Farm of Punjab Agricultural University, Ludhiana, for the years 2022–2023. The performance evaluation of all the methods was performed using statistical indicators, including mean absolute error, mean bias error, root mean squared error, coefficient of determination, and index of agreement. The eddy covariance method, selected empirical models, and remote sensing technique demonstrated a good correlation with FAO Penman–Monteith ET, with coefficient of determination values greater than 0.85. The eddy covariance tower gives precise ET c estimates, with MOD-16 satellite data closely trailing. When Eddy Tower data is inaccessible, MODIS products provide a reliable alternative on a broader scale. In the absence of MODIS data, such as during cloud cover, empirical models offer effective ET o and hence ET c estimation. Moreover, for regions lacking weather data, models like Hargreaves and Samani (1985) or Priestley and Taylor (1972) stand out as optimal choices for accurate ET o and thereafter ET c estimation.

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Data Availability

The dataset generated and used in this study may be available from the corresponding author on a reasonable request.

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The authors wish to acknowledge the support form National Remote Sensing Centre, ISRO Hyderabad, India for carrying out this research.

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Nikhil Gladwin Cutting, Samanpreet Kaur & Mahesh Chand Singh

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NGC: data collection, data analysis, and writting rough draft of the manuscript. SK: planning and xcecution of the study and editing of the manuscript. MCS: planning and execution of the research trial, data collection, and editing of the manuscript. NS: providing the facilities for conducting the research trial on rice–wheat crop sowing and management. AM: assisted in planning and ececution of the study and installation of Eddy Covariance Flux Tower.

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Cutting, N.G., Kaur, S., Singh, M.C. et al. Estimating Crop Evapotranspiration in Data-Scare Regions: A Comparative Analysis of Eddy Covariance, Empirical and Remote-Sensing Approaches. Water Conserv Sci Eng 9 , 65 (2024). https://doi.org/10.1007/s41101-024-00299-z

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Received : 19 July 2024

Revised : 19 August 2024

Accepted : 03 September 2024

Published : 17 September 2024

DOI : https://doi.org/10.1007/s41101-024-00299-z

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