GBD Fellowship 2027 at the University of Washington: Applications Open for Early-Career Global Health Researchers

Applications are now open for the 2027 Global Burden of Disease (GBD) Fellowship at the Institute for Health Metrics and Evaluation (IHME), University of Washington, in the United States. This fellowship offers an opportunity for qualified early-career researchers to strengthen their expertise in global health research, epidemiology, statistical modelling, health metrics, and data analysis while contributing to research addressing some of the world’s most pressing health challenges.

The GBD Fellowship is designed for researchers who want to develop their technical and scientific skills, collaborate with experienced researchers, contribute to the production of global health estimates, and participate in scientific publications. Fellows receive structured training, mentorship, and opportunities to work across multiple research teams, helping them build the expertise needed for future careers in research institutions, academia, and global health policy.

According to the fellowship announcement shared with Opportunities for Youth (OFY), applications for the 2027 cohort are open until December 21, 2026, at 11:59 p.m. Eastern Time. Interested and eligible candidates are encouraged to review the official programme details and submit their applications before the deadline.

• Opportunity: Global Burden of Disease (GBD) Fellowship 2027
• Host institution: Institute for Health Metrics and Evaluation (IHME), University of Washington
• Location: Seattle, Washington, United States
• Opportunity type: Research fellowship/postdoctoral appointment
• Duration: Two years, with the possibility of a third year, subject to annual renewal, performance, and funding availability
• Expected start date: September 2027
• Application deadline: December 21, 2026, at 11:59 p.m. Eastern Time

About the Global Burden of Disease Fellowship

The Global Burden of Disease Fellowship is a cohort-based research and professional development programme hosted by the Institute for Health Metrics and Evaluation at the University of Washington. The fellowship is intended to cultivate the next generation of health metrics scientists who can contribute to the understanding of diseases, injuries, risk factors, and other health outcomes through rigorous research and quantitative analysis.

The programme focuses on developing researchers who can use data and scientific methods to understand health challenges, measure their impact, evaluate patterns of health loss, and contribute evidence that can inform policy and practice.

Global health decisions require reliable evidence about which diseases and injuries affect populations, how health outcomes differ across locations and demographic groups, and how risk factors contribute to illness and premature death. Producing this evidence requires researchers with strong analytical skills, an understanding of epidemiological concepts, and the ability to work with complex datasets and statistical models.

The GBD Fellowship provides a structured environment in which early-career researchers can strengthen these competencies while contributing to the work of established research teams.

Rather than focusing exclusively on classroom-based learning, the fellowship combines practical research responsibilities, technical training, project rotations, professional development, and mentorship. Fellows are expected to participate actively in research and take responsibility for their analyses while learning from experienced colleagues.

The fellowship is particularly relevant to candidates who want to pursue careers in global health research, epidemiology, biostatistics, health policy, quantitative social sciences, or related disciplines.

About the Institute for Health Metrics and Evaluation (IHME)

The Institute for Health Metrics and Evaluation is an independent research organisation based at the University of Washington. Its work focuses on producing timely, relevant, and scientifically valid evidence that can improve health policy and practice worldwide.

IHME conducts research across several areas, including:

• Global Burden of Diseases, Injuries, and Risk Factors.
• Future health scenarios.
• Cost-effectiveness and efficiency.
• Health resource tracking.
• Impact evaluations.
• Health metrics, statistical modelling, and population-level health analysis.

Through its research, IHME seeks to improve understanding of major health problems and provide evidence that can support decisions by policymakers, researchers, health professionals, and other stakeholders.

The institute’s work depends on scientific collaboration, methodological innovation, careful analysis, and the effective communication of research findings. Fellows joining the GBD programme will have an opportunity to work within this research environment and contribute to projects that support the development of global health evidence.

IHME also emphasises an inclusive and collaborative working culture in which different perspectives are valued. This environment is intended to support innovation, teamwork, and the development of researchers capable of addressing complex health questions.

Objectives of the GBD Fellowship

The GBD Fellowship is designed to strengthen the skills and professional capacity of early-career researchers interested in health metrics and quantitative global health research.

Its central objectives include the following.

1. Develop the next generation of health metrics scientists

The fellowship seeks to prepare researchers to contribute to the measurement and analysis of population health. Fellows will build their understanding of how health outcomes are measured, how disease estimates are produced, and how scientific evidence can inform decisions about health systems and public health priorities.

2. Strengthen quantitative research and analytical skills

Participants will work with complex datasets, statistical models, and computational methods. Through structured training and practical assignments, they will develop their ability to analyse health data, identify methodological challenges, assess results, and improve analytical processes.

3. Support methodological innovation

The programme encourages fellows to exercise independent judgement, solve research problems, and propose improvements to data, models, and analytical processes within established GBD research priorities.

This allows fellows to develop as independent researchers while contributing to a wider scientific programme.

4. Improve scientific writing and communication

Research findings must be communicated clearly to scientific audiences, policymakers, and other stakeholders. Fellows will have opportunities to contribute to peer-reviewed manuscripts, prepare conference presentations, present their work, and receive feedback from experienced researchers.

5. Prepare fellows for long-term research careers

The programme combines technical training with mentorship, collaboration, and leadership development. These experiences are intended to help fellows prepare for future roles in academic institutions, research organisations, and global health policy.

What Does the Fellowship Offer?

The GBD Fellowship combines hands-on research with structured professional development. Successful candidates will have an opportunity to deepen their technical knowledge while contributing to the work of the institute.

1. Structured training and an intensive boot camp

Fellows begin the programme with an intensive boot camp alongside other members of their cohort.

This initial training is intended to establish a foundation for the work they will undertake during the fellowship. Participants will develop their understanding of GBD concepts, terminology, analytical approaches, and research processes.

The boot camp also provides an opportunity to learn alongside fellow researchers and begin building professional relationships within the cohort.

2. Rotations across multiple research teams

Fellows will rotate through projects involving different IHME research teams. These rotations are intended to provide a broader understanding of the Global Burden of Disease research programme and expose participants to different research questions, analytical methods, and workflows.

Working across teams can help fellows understand how data collection, statistical modelling, methodological development, quality assurance, and scientific communication contribute to the production of global health estimates.

3. Practical research experience

The fellowship involves direct participation in research rather than observation alone.

Fellows will contribute to quantitative analyses, work with complex datasets, develop and refine statistical models, interpret findings, and identify potential problems with data or methodology.

This experience can help participants strengthen their ability to apply technical knowledge to real research questions and manage analytical projects.

4. Mentorship from experienced researchers

Fellows will have opportunities to learn from senior researchers and receive guidance on their research and professional development.

Mentorship can help participants improve their analytical judgement, refine their research questions, develop scientific writing skills, and identify areas for further professional growth.

As fellows progress through the programme, they may also take on greater leadership responsibilities within training and knowledge-sharing initiatives.

5. Scientific writing and publication opportunities

Participants will draft and co-author scientific manuscripts, funding proposals, and conference presentations.

The fellowship also includes support through writing workshops and mentorship. These opportunities are relevant for researchers who want to strengthen their publication record and learn how to communicate complex scientific findings effectively.

6. Presentations and professional communication

Fellows will have opportunities to present research at internal seminars, professional conferences, and public forums.

These experiences can help participants improve their presentation skills, explain technical findings to different audiences, respond to questions, and incorporate feedback into their work.

The programme also offers opportunities for media training to support effective communication of research findings.

7. Professional development activities

The fellowship incorporates structured professional development activities, including journal clubs, seminar presentations, and research roundtables.

These activities can help participants stay informed about developments in their field, critically evaluate scientific literature, exchange ideas, and learn from the experiences of colleagues.

Key Responsibilities of GBD Fellows

Successful candidates will be expected to participate actively in the institute’s research activities and meet the scientific and professional responsibilities associated with the fellowship.

Responsibilities include the following.

1. Apply and develop knowledge of GBD concepts

Fellows are expected to have working familiarity with Global Burden of Disease concepts and terminology from the beginning of the fellowship.

Examples include:

• Disability-adjusted life years (DALYs): A measure of overall health loss that combines years of life lost because of premature death with years lived with disability.
• Years of life lost (YLLs): A measure of premature mortality.
• Years lived with disability (YLDs): A measure of time lived with health loss due to disease, injury, or other health conditions.
• Attributable burden: The amount of health loss associated with a particular risk factor or exposure under a defined analytical framework.
• Age-standardised rates: Rates adjusted to a standard age distribution to facilitate comparisons between populations with different age structures.
• Uncertainty intervals: Ranges that communicate uncertainty around estimates.

These concepts are important in understanding how researchers measure and compare health outcomes across populations, locations, and periods.

Fellows will be expected to build on their existing knowledge through structured training and practical research.

2. Conduct quantitative analyses

Participants will lead and contribute to quantitative analyses within the scope of GBD research.

This requires the ability to understand research questions, select appropriate analytical approaches, interpret results, and identify potential problems with data or methods.

Fellows will be encouraged to exercise independent judgement while working within the priorities and standards of the wider research programme.

3. Develop and refine statistical models

Fellows will use programming and statistical methods to design, implement, test, and improve analytical models.

They may need to investigate unexpected results, troubleshoot complex code, assess model performance, and propose changes that improve the quality or efficiency of analytical processes.

Strong programming skills in R or Python are therefore important for applicants.

4. Manage and quality-check complex datasets

The fellowship involves working with datasets obtained from different sources, potentially including:

• Population surveys.
• Vital registration systems.
• National censuses.
• Scientific literature.
• Other relevant health and demographic data sources.

Researchers must be able to organise, standardise, assess, and quality-check these data before and during analysis.

Careful data management is essential because inconsistencies, missing information, and differences in data collection methods can affect the reliability of research findings.

5. Interpret findings and identify methodological challenges

Fellows will interpret analytical results, investigate data and methodological issues, and communicate findings to research team leaders and wider audiences.

This requires more than producing statistical outputs. Researchers must understand what the findings mean, recognise limitations, identify possible sources of uncertainty, and explain their conclusions accurately.

6. Contribute to scientific publications

Fellows will draft and co-author peer-reviewed manuscripts, funding proposals, and conference presentations.

They will be expected to contribute to the development of research findings into clear, evidence-based scientific outputs.

7. Work collaboratively and independently

The fellowship operates in a research environment with defined milestones and deadlines.

Participants must therefore be able to manage their work, collaborate with colleagues, respond to feedback, and complete assignments within agreed timelines.

8. Support knowledge sharing and training

Fellows may mentor junior staff, lead internal training sessions, and contribute to collaborative learning.

As participants gain experience, they may also take on leadership roles in training initiatives and help strengthen the research team’s collective knowledge and capabilities.

Who Is Eligible to Apply for the GBD Fellowship 2027?

The GBD Fellowship is designed for early-career researchers with advanced academic qualifications and demonstrated expertise in health metrics, epidemiology, or related quantitative research.

Applicants should carefully review the programme’s requirements before beginning their applications.

Academic qualifications

Applicants must hold a PhD, MD, DPhil, or an equivalent qualification from another country in a relevant discipline.

Fields listed in the fellowship announcement include:

• Epidemiology.
• Demography.
• Biostatistics.
• Medical sciences.
• Health policy.
• Economics.
• Mathematics.
• Computer science.
• Statistics.
• Other related fields.

Candidates should ensure that their qualifications are relevant to the research responsibilities and analytical requirements of the fellowship.

Applicants who are currently pursuing a terminal degree may also be considered, provided they complete the degree before the fellowship begins.

Demonstrated expertise in health metrics or quantitative research

Applicants must demonstrate expertise in health metrics, epidemiology, or a related quantitative research field.

Relevant experience may include research involving population health, statistical analysis, disease measurement, health outcomes, demographic data, or the application of quantitative methods to health-related questions.

Candidates should be prepared to explain how their academic background and research experience relate to the work of the GBD programme.

Strong programming skills

Strong programming skills in R or Python are required.

These programming languages are widely used for data processing, statistical analysis, modelling, and other computational research tasks.

Applicants should be able to demonstrate their ability to use programming tools to work with data, conduct analyses, troubleshoot code, and support reproducible research.

Statistical modelling and problem-solving experience

Candidates must demonstrate the ability to conduct statistical modelling and troubleshoot complex code.

This requirement reflects the technical nature of the fellowship, where participants will work with large or complex datasets and contribute to analytical processes that require careful testing and validation.

Applicants should highlight relevant modelling experience, analytical projects, research methods, and examples of how they have resolved technical challenges.

Scientific publications and communication skills

Applicants should have a track record of scientific publication and the ability to communicate research findings effectively.

Scientific communication is an important component of the fellowship because participants will contribute to manuscripts, presentations, and discussions with research teams.

Candidates should demonstrate their ability to explain research questions, describe analytical methods, interpret findings, and communicate conclusions clearly.

Familiarity with Global Burden of Disease concepts

Working familiarity with GBD concepts and terminology is expected.

Applicants who need to strengthen their understanding can begin by exploring the Global Burden of Disease learning resources available through the Institute for Health Metrics and Evaluation.

Learning about DALYs, YLLs, YLDs, attributable burden, age-standardised rates, and uncertainty intervals can help applicants understand the scientific context of the programme.

Early-career status

The fellowship is intended for early-career professionals who are no more than five years past their most recent degree as of the fellowship start date.

Students currently pursuing a terminal degree may be considered, but they must complete it before the programme begins.

Because the fellowship is a postdoctoral appointment, applicants should carefully review the full appointment conditions and any applicable limits relating to previous postdoctoral experience.

Meeting the minimum requirements does not automatically guarantee selection. Applicants should demonstrate a strong fit between their qualifications, research experience, technical abilities, and the objectives of the fellowship.

Is the GBD Fellowship Open to International Applicants?

The fellowship is based at the Institute for Health Metrics and Evaluation in Seattle, Washington, United States.

The announcement describes academic and professional requirements rather than limiting the opportunity to a particular nationality. However, applicants outside the United States should read the official vacancy and application information carefully to confirm any requirements relating to work authorisation, visa sponsorship, relocation, and physical presence at the host institution.

The position is intended to be conducted in person in Seattle. It should therefore not be assumed to be a remote or fully online fellowship.

International candidates who meet the academic and technical requirements should assess whether they can satisfy the programme’s location and employment conditions before applying.

Fellowship Duration and Expected Start Date

The GBD Fellowship is structured as a two-year programme, with the possibility of a third year.

An additional year is not automatic. Renewal is subject to performance and the availability of funding.

The anticipated start date for the 2027 cohort is September 2027.

During the fellowship, participants will take part in structured training, rotate through research projects, contribute to quantitative analyses, and develop their scientific writing and communication skills.

The programme’s duration is intended to provide sufficient time for fellows to gain substantial research experience, strengthen their technical abilities, and develop a clearer pathway towards future professional opportunities.

Salary and Benefits

The published recruitment information for the GBD Fellowship lists the following annual salary levels:

• Year 1: US$105,000 per year.
• Year 2: US$108,156 per year.
• Year 3, if renewed: US$112,488 per year.

The third-year salary applies only if the fellowship is renewed and the additional appointment is available.

These are annual salary figures, not guaranteed take-home amounts. Taxes, deductions, and individual circumstances may affect the amount received by a fellow.

The position is also associated with employee benefits through the University of Washington. Applicants should consult the university’s official benefits information and the vacancy announcement for the full terms and conditions.

Candidates should confirm the applicable salary, benefits, employment conditions, and appointment details directly with the host institution before accepting an offer.

How to Apply for the GBD Fellowship 2027

Interested and eligible applicants should submit their applications through the designated application platform.

The application process requires candidates to provide information demonstrating their academic qualifications, technical abilities, research experience, and motivation for joining the programme.

Step 1: Review the official fellowship information

Begin by reading the programme details and eligibility requirements.

Confirm that you meet the academic qualification requirements, have relevant research expertise, possess the required programming skills, and understand the fellowship’s location and appointment conditions.

Step 2: Prepare your curriculum vitae

Applicants must submit a curriculum vitae (CV) that presents their academic and professional background.

Your CV should clearly highlight relevant information, including:

• Academic qualifications and dates of completion.
• Research appointments and relevant professional experience.
• Experience in epidemiology, health metrics, biostatistics, or related fields.
• Programming experience in R or Python.
• Statistical modelling and data analysis skills.
• Scientific publications and research outputs.
• Conference presentations and other relevant academic contributions.
• Technical skills that match the responsibilities of the fellowship.

Where appropriate, explain your specific contribution to research projects rather than simply listing the names of projects or publications.

Step 3: Respond to the short-form essay questions

The application requires responses to short-form essay questions.

These responses allow applicants to explain their research interests, relevant skills, motivation, and understanding of the work involved in producing Global Burden of Disease estimates.

The published application information includes questions addressing production work and why the fellowship is the right next step in the applicant’s career.

For the production-work question, applicants are asked to reflect on the iterative nature of GBD research, which may involve extracting and standardising data, running models repeatedly, and reviewing diagnostic results against deadlines.

Applicants should explain which parts of this process suit their experience and strengths, which parts they expect to find challenging, and why they want to undertake this work over the next two years. The specified maximum length for this response is 200 words.

Another question asks applicants to explain why the fellowship is appropriate for their current career stage and how it will support their intended career path after the programme. The specified maximum length for this response is 250 words.

Candidates should check the live application form for the complete set of questions, exact wording, and any additional instructions before submitting their responses.

Tips for preparing strong essay responses:

1. Answer the question directly instead of providing a general personal statement.
2. Use specific examples from research, data analysis, programming, or related work.
3. Explain how your skills relate to the production of reliable health estimates.
4. Demonstrate an understanding of the repetitive, detail-oriented nature of data and modelling work.
5. Be honest about the areas you expect to find challenging and explain how you would approach them.
6. Connect the fellowship to a realistic longer-term professional goal.
7. Respect the stated word limits and proofread each response carefully.

Step 4: Provide three professional or academic references

Applicants must submit a list of three professional or academic references.

Choose people who can speak credibly about your research experience, technical skills, academic performance, professional conduct, or ability to work collaboratively.

Where possible, select referees who have directly supervised your research, worked with you on relevant projects, or can provide meaningful insight into your suitability for the fellowship.

Inform your referees that you are applying and ensure that the information you provide is accurate and up to date. The recruitment information indicates that references may be contacted if applicants advance to the interview stage.

Step 5: Submit your application through the application link

After preparing the required documents and responses, complete the online application and submit it through the designated platform.

Application link

Before submitting, verify that all required information has been provided, your documents are attached correctly, and your essay responses comply with the instructions.

Applicants should avoid waiting until the final hours to submit. Applying early provides additional time to resolve technical problems or clarify application requirements.

Step 6: Contact the fellowship team if you have questions

Candidates who need clarification about the programme or their eligibility can contact the GBD Fellowship Team using the email address provided in the announcement:

When making an enquiry, include a clear subject line and explain your question concisely. If your question concerns a specific eligibility requirement, identify the relevant qualification or experience so the team can understand what you need clarified.

Application Deadline for the GBD Fellowship 2027

The deadline stated in the fellowship announcement is:

December 21, 2026, at 11:59 p.m. Eastern Time.

Applications are reviewed on a rolling basis, and interviews may be scheduled as application materials are received. Candidates seeking consideration for the September 2027 cohort are advised to submit their applications by the stated deadline.

Applicants outside the United States should remember that the deadline is expressed in Eastern Time, not their local time zone.

Candidates applying from Kenya should convert the deadline to East Africa Time and submit well before the closing time to avoid confusion or last-minute technical difficulties.

The deadline should be treated seriously. Interested candidates are encouraged to begin preparing their CVs, references, and written responses as early as possible.

Why Should You Consider Applying for the GBD Fellowship?

For qualified early-career researchers, the GBD Fellowship offers an opportunity to combine technical development with meaningful contributions to global health research.

1. Strengthen your global health research expertise

The fellowship provides practical exposure to the methods and processes used to generate estimates of diseases, injuries, risk factors, and other health outcomes.

This experience can help researchers deepen their understanding of population health and the role of quantitative evidence in health policy.

2. Improve your statistical and programming skills

Working with datasets and statistical models provides opportunities to strengthen analytical skills and develop practical approaches to research problems.

Experience with R or Python can also be valuable for researchers pursuing future roles that require data analysis, modelling, or computational research.

3. Build a stronger scientific publication record

The opportunity to draft and co-author peer-reviewed manuscripts and conference presentations can help fellows develop their scientific writing and communication abilities.

These experiences may be useful when pursuing future academic or research positions.

4. Learn from experienced researchers

Mentorship and collaboration with experienced colleagues can help participants refine their research methods, improve their analytical judgement, and understand professional expectations within a major research institution.

5. Develop a broader understanding of global health research

Rotations across multiple research teams can expose fellows to different questions, methods, and analytical workflows.

This broader experience can help participants understand how different parts of a research programme contribute to its overall objectives.

6. Prepare for future career opportunities

The fellowship is designed to support career development in academia, research institutions, and global health policy.

By combining technical training, research responsibilities, mentorship, and professional development, the programme can help participants prepare for more advanced roles in their chosen fields.

7. Contribute to evidence that informs health decisions

Reliable health data can help decision-makers understand population health challenges and identify areas requiring attention.

By contributing to the production of GBD estimates and related scientific publications, fellows can participate in research that supports the wider global health evidence base.

Important Considerations Before Applying

Although the GBD Fellowship offers significant professional development opportunities, candidates should assess the requirements carefully before submitting an application.

First, confirm that your qualifications match the requirements. This is a research fellowship intended for candidates with advanced qualifications and relevant quantitative expertise. It is not a general entry-level opportunity for applicants without the specified academic background.

Second, assess your technical readiness. Strong programming skills in R or Python, statistical modelling experience, and familiarity with health metrics are important. Candidates should be prepared to demonstrate these abilities in their applications.

Third, understand the nature of the work. Producing reliable health estimates involves careful data management, repeated analytical processes, model assessment, and meeting deadlines. Applicants should be comfortable with detailed, iterative research work.

Fourth, consider the location. The position is based in Seattle, Washington, and is intended to be undertaken in person. Candidates should not assume that they can complete the fellowship remotely.

Fifth, review the employment and visa conditions. International applicants should confirm the applicable visa arrangements, work authorisation requirements, relocation considerations, and employment conditions directly with the University of Washington.

Finally, prepare a strong and complete application. A well-prepared CV, thoughtful essay responses, and suitable academic or professional references can help demonstrate your readiness for the programme.

Frequently Asked Questions About the GBD Fellowship 2027

1. What is the GBD Fellowship?

The Global Burden of Disease Fellowship is a cohort-based research programme at the Institute for Health Metrics and Evaluation, University of Washington. It is designed to train early-career researchers in health metrics, quantitative analysis, statistical modelling, and global health research.

2. When is the application deadline?

The deadline is December 21, 2026, at 11:59 p.m. Eastern Time. Applicants should submit their materials before the deadline and verify the time difference if applying from another country.

3. When will the fellowship begin?

The anticipated start date for the 2027 cohort is September 2027.

4. How long does the fellowship last?

The fellowship lasts two years, with the possibility of a third year. Any extension is subject to annual renewal, performance, and funding availability.

5. What academic qualifications are required?

Applicants must hold a PhD, MD, DPhil, or equivalent qualification in epidemiology, demography, biostatistics, medical sciences, health policy, economics, mathematics, computer science, statistics, or a related field.

Candidates currently pursuing a terminal degree may be considered if they complete it before the fellowship begins.

6. Do applicants need programming skills?

Yes. Strong programming skills in R or Python are required, alongside the ability to conduct statistical modelling and troubleshoot complex code.

7. What documents are required?

The published application instructions require a CV, responses to the short-form essay questions, and a list of three professional or academic references. Applicants should review the live application form for the complete and current instructions.

8. Is the fellowship remote?

The position is based in Seattle, Washington, United States, and is intended to be conducted in person. Applicants should consult the official vacancy for the applicable location and employment conditions.

9. Can international candidates apply?

Applicants should consult the official programme information and vacancy conditions to confirm their eligibility, including any applicable work authorisation and visa requirements. Candidates outside the United States should also consider the in-person location of the position.

10. What is the salary?

The listed annual salary is US$105,000 for the first year, US$108,156 for the second year, and US$112,488 for a possible third year if the appointment is renewed. Candidates should confirm the applicable employment terms directly with the host institution.

11. Who should I contact if I have questions?

Candidates can contact the GBD Fellowship Team at gbdfellowship@uw.edu for questions about the programme or their eligibility.

12. Where can I apply?

Applications can be submitted through the application link provided in the announcement

Conclusion

The Global Burden of Disease Fellowship 2027 at the Institute for Health Metrics and Evaluation, University of Washington, is an opportunity for qualified early-career researchers to develop advanced skills in global health research, health metrics, statistical modelling, programming, and scientific communication.

Through structured training, research-team rotations, mentorship, and practical analytical responsibilities, fellows can gain experience contributing to the production of global health estimates and related scientific publications. The programme is designed to support the development of researchers pursuing careers in academia, research institutions, and global health policy.

However, the fellowship has specific academic, technical, and professional requirements. Prospective applicants should carefully assess their qualifications, programming experience, research background, and ability to undertake an in-person appointment in Seattle before applying.

Eligible candidates who are interested in advancing their research careers are encouraged to review the official programme information, prepare their application documents, and submit their applications early.

Application deadline: December 21, 2026, at 11:59 p.m. Eastern Time.

Apply here