Position: Applied Science Intern

Description: 

Are you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.

A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

Basic Qualifications:

• Are enrolled in a PhD
• Are 18 years of age or older
• Work 40 hours/week minimum and commit to 12 week internship maximum
• Can relocate to where the internship is based
• Experience programming or scripting language like Python, Java, C or C
  
  

Preferred Qualifications:

• Have publications at top-tier peer-reviewed conferences or journals
  
  

Stipend:
Amazon will provide a stipend of $10,000.

Dates:
Applications are accepted starting in November, 2024 with no official end date.

For additional detail, and to apply online, see Amazon's job posting.

Position: Summer 2025 Psychometric Internship

Description: 

The American Board of Internal Medicine is pleased to announce its summer psychometric internship program for 2025. The ABIM psychometric internship program is an eight-week summer internship running from Monday, June 2nd to Friday, July 25th in Philadelphia. During the program, each intern will take primary ownership of an applied psychometric research project under the guidance of one of the ABIM’s psychometricians. In addition, the internship curriculum includes instructional lectures and opportunities for the interns to gain applied operational experience. As ABIM is the nation’s largest physician certification organization, interns will gain experience with issues unique to professional testing organizations.

Qualifications:

• Doctoral student in an educational measurement (or related field) program with at least two years of coursework completed by the start of the internship
• Preference will be given to applicants who have experience with item response theory
• Ideal candidates will have experience with programming in SAS or R
• Excellent communication skills
• Interest in certification testing
• Eligible to be legally employed in the United States

Stipend:

• The ABIM provides a total of $12,000 for the eight-week internship program. This total includes an $10,000 stipend as well as a $2,000 housing allowance.

Dates:

• Application Deadline: February 3, 2025

Additional details can be found within the ABIM Internship Announcement. Applications, in the form of a curriculum vitae and a letter of interest, should be sent to Michele Johnson, Research Program Manager (researchintern@abim.org).

Position: Research & Applied Psychometrics Internship

Description: 

The Ascend Learning Innovative Learning and Assessment Solutions (ILAS) division has remote opportunities for Research & Applied Psychometrics interns for the summer of 2025. As a member of our team, you will work alongside experienced psychometricians to  conduct research and psychometric work on operational testing products designed for the allied health, nursing, and fitness industries. The interns will have the opportunity to gain operational work experience and conduct a research project in the following areas: Exam design and development, Exam security and forensic analysis, Job task analysis/exam blueprint design, Standard setting, Implementation of AI and machine learning models in product development, and Efficacy Research.

Qualifications:

Education and Experience

• Current enrollment in a relevant doctoral program such as educational measurement, psychometrics, quantitative psychology, industrial/organizational psychology, statistics, experimental psychology, or computer science/machine learning.
• Completion of at least 2 years of coursework toward the doctoral program prior to the start of the internship.

Key Skills and Abilities

• Proficiency in SAS, R, Python or WINSTEPS is recommended.
• Excellent presentation, organizational, time management skills with attention to details and deadlines.
• Ability to compose research proposals for submission to peer-reviewed conferences under supervision.
• Ability to work remotely, but effectively as a member of a team.

Stipend:

• $9,600 total for the 8 weeks (40 hours/week)
• Ascend Learning will fund the national conference registration and major travel costs (e.g., hotel and flight) aligned with company travel policy when the research project is accepted for the conference presentation. 

Dates:

• Internship Period: 8 weeks (40 hours/week), June 2, 2025 – July 25, 2025

Additional details, as well as the application form, can be found in Ascend Learning's job posting. 

Position: 2025 Summer Internship Program in Educational Assessment and Accountability

Description: 

The National Center for the Improvement of Educational Assessment, Inc. (the Center) is a small non-profit organization occupying a unique and influential niche at the intersection of educational measurement and assessment policy. The Center is pleased to offer up to six (6) in-person summer internships for advanced doctoral students in educational measurement and/or assessment/accountability policy who want the opportunity to work with the Center’s professionals on projects with direct implications for state and national educational policy. 

Each intern will work on one major project throughout the summer (to be negotiated between the intern and the Center mentor) and may participate with Center staff on other projects. Most interns will have opportunities to attend meetings and interact with state assessment personnel. Interns will be expected to produce a written report and a proposal for a research conference (e.g., NCME, AERA, NCSA) as evidence of the successful completion of their project. One of the Center’s senior staff will serve as the intern’s primary mentor, but the interns will interact regularly with many other Center staff members. Potential intern projects for 2025 may include the following:

1. Claims and Evidence for Instructional Usefulness 
2. Data Science in Education: Agile Development to Support State Assessment Analyses
3. Leveraging SEA Data around Student Performance: A Toolkit for State Leaders
4. Math Badging in High School
5. Analyzing the Landscape of Generative AI Applications in Classroom Assessment
6. Examining Patterns of Curriculum-Embedded Assessment Use

Full project descriptions are available in the announcement, as well as on the Center's internship page. 

Qualifications:

The intern must have completed at least two years of doctoral coursework in educational measurement, curriculum studies, statistics, research methods, or a related field. Interns with documented previous research experience are preferred. Further, interns must document their ability to work independently to complete a long-term project. We have found that successful interns possess most of the following skills and knowledge (the importance of the level of skills and knowledge in each of the areas described below is dependent on the specific project):

• Ability to work on a team under a rapid development model
• A deep understanding of educational assessment and its uses, including policy and practice
• Content knowledge in a relevant discipline (e.g., science, mathematics, language arts)
• Depending on the project, working knowledge of statistical analysis through multivariate analyses as well as fluency with one or more statistical packages, e.g., SAS, SPSS, R
• A solid understanding of research design
• Psychometrics (both classical and IRT) with a demonstrated understanding of the principles of reliability and validity
• An interest in applying technical skills and understanding major policy and practical issues
• Excellent written and competent spoken English skills
  
  

Logistics: 

• The internship is for 8 weeks at the Center’s Dover, New Hampshire office.  The internship will start in early June 2025; the intern and the mentor will determine the specific date.    

Support:

• The Center will provide a stipend of $8000, a $2000 housing allowance, reasonable relocation expenses, and a $1000 travel stipend to support attendance at a conference in 2026 to present the results of the intern’s project (contingent upon acceptance of a conference proposal).

Dates:

• Application Deadline: Materials must be submitted electronically (including letters of recommendation) to Sandi Chaplin at schaplin@nciea.org and received by February 7, 2025.

• Applicants selected for interviews will be notified by March 10, 2025, regarding their candidacy.

Additional details, including application requirements, can be found within the Center's Internship Announcement and on the Center's website. 

Position: CMJ Doctoral Student Internship 

Description:

The Center for Measurement Justice (CMJ) is a not-for-profit research organization dedicated to advancing the field of assessment in education, psychology, and medicine. Established in 2021, our mission is to conduct rigorous, evidence-based research to promote inclusive and fair assessment practices, with a particular focus on the needs of minoritized individuals. We engage in innovative assessment research funded by philanthropic organizations and government agencies and provide consulting services on culturally responsive assessment practices to testing organizations across the United States.

Internship Details

The CMJ research department has remote opportunities for two interns in assessment and psychometrics for the summer of 2025. As a member of our team, you will work alongside the Head of Research to conduct investigations on psychometric methodologies, research ethics, and assessment applications in education, psychology, and medicine. Interns will have the opportunity to gain hands-on experience in assessment research as well as develop conference proposals and manuscripts for publication under the guidance of an experienced mentor. The interns will also have the opportunity to participate in research team journal club meetings, attend webinars led by leading assessment experts, and write a CMJ-sponsored blog post on a pressing topic in the assessment field.

Essential Job Functions

Excellent presentation, organizational, time management, and collaboration skills. Ability to compose research proposals for submission to peer-reviewed conferences and contribute to manuscripts for publication under the supervision of a mentor. The capacity to work autonomously in a remote environment, but effectively as a member of a team. An attention to detail and the ability to meet internal deadlines is a must. 

Position: Psychometric Externship 

Description (Summary):

Cognia is granting up to two (2) externships (i.e., remote internships) for students working toward PhDs in appropriate graduate study programs. The primary focus of the program centers around an appropriate research project that each student chooses in consultation with Cognia psychometricians and researchers.

The externships are targeted for students whose interests focus on psychometric or measurement issues such as equating, item calibration, statistical models, response time, dimensionality issues, and scaling. For example, recent years have included projects on evaluating raters of open-response items, diagnosing student misconceptions on open-response items, modeling response time behavior, detecting unusual item response behavior in alternate assessments, detection of item parameter drift, and accuracy of routing in multistage tests.

An additional important component of the externship program is to help students gain in-depth knowledge and understanding of the daily activities of Cognia psychometricians via a series of seminars that give a systematic deep dive into our psychometric practices.

Qualifications:

• Current enrollment in a relevant doctoral program.
• Completion of at least 2 years of coursework toward the doctorate prior to the internship program start date.
• Currently residing in the United States.

Stipend:

• The full compensation package includes a stipend, as well as transportation, accommodation, and meals during the Extern Festival Week.
• Stipend: $7000
  

Dates:

• Application Deadline: December 8th, 2024
• Decision date: On or before January 17th, 2025
• Externship starts February 3rd, 2025. The duration is 14 weeks with an end date of May 9th, 2025
• Extern Festival Week: One week duration sometime in March or April 2025 when externs travel to Cognia offices for in-person networking and seminars. Exact dates to be determined based on extern availability.

Apply online through Congia's LinkedIn Posting.

Curriculum Associates plans to release a call for a 2025 Summer Internship at the beginning of January 2025. 

Edmentum plans to release a call for a 2025 Psychometric Summer Internship in January or February, 2025. 

Position: 2025 Ida Lawrence Research Summer Internship Program

Description: 
As an Intern in the Research Institute, you'll work with experts who are nationally and internationally known as thought leaders, trusted advisors, and go-to collaborators for their high-impact research addressing significant educational and societal goals. 

If you're accepted into the program, you'll collaborate with researchers on projects related to foundational and innovative topics in education. Upon the completion of the program, you'll have the opportunity to present your findings to teams across Research.

Intern research projects will be aligned with one of the following 11 research programs: 

•  Inventing a New Paradigm for Personalized Assessment in the Service of Equity
• Assessment of Complex Skills
• Innovations in Literacy and Communication Assessments
• Innovations in Interactive Digital Assessments in STEM
• Validity, Fairness and Ethics in AI
• Getting More from Large Scale Assessments
• Policy Research on Human Capital and Education 
• Understanding Teaching Pathways
• Postsecondary Admissions
• Global Higher Education & Workforce Research Group  
•  K-12 Research
• Languages Research

Support:

• The full compensation package includes a competitive intern stipend ($10,000) and housing/transportation while on campus.
• For the on-campus portion of the internship, housing is provided if you're commuting more than 50 miles from the Princeton area.
• Transportation allowance is granted if you're relocating to and from the Princeton area (for the on-campus portion of the internship). 

Dates:

• Deadline: The application deadline is January 17th,  2025.
• Decisions: You'll be notified of selection decisions by March 15th, 2025.
• Duration: The internship will be eight weeks long and occur from June 2nd, 2025 to July 25th, 2025. 
• Location (Hybrid): You will be on campus in Princeton, NJ, for the first two weeks of the internship program. The remaining six weeks of the internship will be remote.  

Additional details can be found in the application at: https://etscareers.submit4jobs.com/83080/#/jobDescription/361448/

Position: Internship in Educational Measurement

Description: 

Interns are employed at HumRRO’s Corporate Headquarters in Alexandria, VA or in one of the remote offices depending on the available work. Internship tasks typically include literature review, synthesis, and analysis; survey and other instrument development and administration; and documentation of findings. HumRRO is looking for responsible, motivated team players with strong technical and communication skills to assist in our contract research activities. HumRRO project directors will provide technical supervision and mentoring to help make the most of each intern’s exposure to and experience with our applied research setting.

Additional benefits: In addition to their regular salary, all interns will also receive a housing stipend, PTO, and paid vacation days.

Each applicant must provide:

• A curriculum vitae/detailed resume
• A one-page personal statement of career goals and internship interests
• Official transcript(s) of all graduate work
• Contact information for two references (letters of recommendation are not needed)
• Completed Statistical Packages and Data Analysis Questionnaire (link on website below)

Application Due Date: Application materials due January 15, 2025

Applications should be emailed to: internship@humrro.org

Contact: For more information: https://www.humrro.org/corpsite/internships/

Position: Remote 2025 Summer Internship: Psychometrics and Data Science

Description:

NBME invites applications for multiple full-time remote internship positions for the Summer of 2025. Over an 8-week period, interns will have the opportunity to collaborate with NBME staff and interact with fellow graduate students as they complete a research project. The expected deliverable is an internal research presentation. Specific projects for the summer of 2025 will be discussed with applicants as part of the interview process.

Qualifications:

• Active enrollment in a doctoral program in measurement, statistics, computer science, cognitive science, medical education, or related field.
• Completion of at least one year of your PhD program by Summer 2025.
• Experience or coursework in one or more of the following: statistics, measurement theory, natural language processing, data science, research design, IRT, and test development.
• Working knowledge of statistical software (e.g., R, Python, C#).
• Interns will be assigned to one or more mentors and must be able to work independently.
• Must be authorized to work in the US for any employer. If selected, F-1 holders will need to apply for Curricular Practical Training authorization through their school's international student office and have a social security number for payroll purposes.
• Must be eligible to work June 2-July 25, 2025. We are unable to shift the timeline of the internship program.
• Must not have any competing employment throughout the duration of the internship.
• Must be available between NBME core hours (10am-3pm Eastern Time).
   

Compensation: $45 per hour, amounting to a total stipend of $12,600 (35 hours per week). Additionally, all interns are eligible to receive up to $1,000 to support their attendance at a conference. This is not conditional on presenting at the conference.

Dates:  The deadline for applications is Friday, January 31, 2025. Applicants will be informed of final decisions by Friday, February 28, 2025.

Link to apply: https://nbme.applicantpro.com/jobs/3562778

Position: NAEP Doctoral Student Internship 

Description:

Work directly with researchers and data scientists from the National Center for Education Statistics (NCES) and American Institutes for Research (AIR) on National Assessment of Educational Progress (NAEP) research. This 10-week internship program is aimed at current doctoral students in educational research, statistics, information science, sociology, psychology, economics, computer science, or other related fields.

Internship Goals:

Contribute to the NAEP program by engaging in innovative education research using NAEP data in topic areas such as psychometrics and statistical methods, process data, policy-relevant research, re-envisioning quantitative information (data visualization), and artificial intelligence (AI). 
Advance secondary analysis and methodological developments using data from NAEP.

Internship Details:

• Paid 10-week program (starting early June 2025)
• Remote work within the U.S. with some travel to Arlington, VA
• Receive an AIR-issued laptop for project work
   

Qualifications:

• Doctoral student at an accredited U.S. university in educational measurement, statistics, information science, sociology, psychology, economics, computer science, or other related field
• At least two years of coursework in a doctoral program OR a master’s degree completed in a relevant field
• Experience applying advanced statistical and/or psychometric methods
• Experience analyzing data from large-scale surveys and assessment data with complex sampling design is an asset
  Strong organizational and interpersonal skills
• Proven experience with statistical software packages such as Mplus, Python, R, SAS, and Stata
• For re-envisioning quantitative information applicants: demonstrable advanced experience with R and creating data visualizations using the software, as well as familiarity with developing reports.
• For artificial intelligence applicants: familiarity with generative models like transformers (e.g., GPT-4) and cloud services, good understanding of ethical AI principles, experience with NLP methods such as topic modeling, and experience evaluating AI
  using appropriate metrics.
   

For more details, see the program flier and apply online at: https://jobs-airdc.icims.com/jobs/13232/naep-doctoral-student-intern-%28summer-2025%29/job?mode=view 

Position: NCCPA Doctoral Student Internship 

Description:

The National Commission on Certification of Physician Assistants (NCCPA) is the only nationally recognized
certification organization for physician assistants (PAs). Established as a not-for-profit organization in 1974, NCCPA
provides certification programs that reflect standards for clinical knowledge, clinical reasoning, and other medical skills
and professional behaviors required upon entry into practice and throughout the careers of PAs. All U.S. states, the
District of Columbia, and U.S. territories rely on NCCPA certification as a criterion for initial licensure or regulation of
PAs. More than 200,000 PAs have been certified by NCCPA since 1975. NCCPA is accredited by the National
Commission for Certifying Agencies and has been recognized by the Atlanta Journal-Constitution as 2024 Top
Workplaces in the Region. To learn more about NCCPA, please visit https://www.nccpa.net/.

Internship Details

NCCPA offers an eight-week internship in summer 2025 for students working toward their Ph.D. in psychometrics (or
other relevant fields), with at least two years of graduate coursework. This program is scheduled to begin in June and
conclude by the end of August. While interns will work remotely, during the first week of the internship, they will work
closely with the psychometric team to develop a research plan for the remaining weeks. This initial project development
week may be at the NCCPA offices in Johns Creek, GA, conditions permitting. Over the following weeks, interns will
convene weekly virtual meetings with their mentor(s) to discuss progress and address questions. All finalized deliverables
will be provided to NCCPA after the internship.

Research Projects

During the program, interns will have the opportunity to gain experience in operational psychometric tasks involved in
administering and scoring a certification assessment and to take the lead, in collaboration with psychometric staff, on a
research project that supports NCCPA’s exam-related research agenda. Current topics of interest to NCCPA revolve
primarily around longitudinal assessment. Specific areas of interest include

• Adaptive testing
• Natural language processing and machine learning projects
• Response time modeling
• New item type on digital assessments
• Application of LLMs on Automated item generation
• Detecting bias in test content
• Detecting compromised test content
• Studies related to diversity, equity, and inclusion in testing
• Performance Growth modeling on high-stakes exams

The research effort will include submitting a proposal to NCME, AERA, or a similar conference, culminating in a
research paper that can be delivered at a conference.

Application Details

A complete application includes a curriculum vitae, a student copy of graduate school transcript
(does not need to be an official transcript), two letters of recommendation, and a statement of purpose describing your
interest in our internship as well as your interest and qualifications in one or more of our research areas of interest listed
above. Application materials may be emailed or mailed to NCCPA and must be received by March 2nd, 2025. NCCPA
will announce the recipients of the internship award on March 21st, 2025.

Materials and questions should be submitted to Yanlin Jiang; National Commission on Certification of
Physician Assistants; 12000 Findley Road, Suite 200; Johns Creek, GA, 30097; Email: yanlinj@nccpa.net.

Stipend and Other Financial Assistance

The award includes an $8,000 stipend. Conference travel will be offset, and travel/lodging for trips to the NCCPA offices will be reimbursed in accordance with NCCPA’s policies.

Link: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=95f44138-584e-4596-919d-a00b1adb4bed&ccId=19000101_000001&lang=en_US&jobId=9203004770435_1&&source=EN

Position: Research Intern - STAC (Sociotechnical Alignment Center)

Description (Summary): 

The Sociotechnical Alignment Center (STAC) is a team of researchers, applied scientists, and linguists in Microsoft Research (MSR) who represent part of the research pillar of Microsoft’s Responsible AI efforts. Founded within Microsoft Research in 2022, STAC’s mission is to guide the sociotechnical alignment of AI systems, with a particular emphasis on measuring risks, capabilities, performance, and other properties of these systems.

STAC is looking to hire several Research Interns in Redmond and NYC to conduct research on measuring risks, capabilities, performance, and other properties of AI systems, with a focus on “generative” or “general purpose” systems. STAC’s approach to evaluation is grounded in measurement theory from the social sciences and in statistics. STAC is especially interested in candidates with expertise in theoretical and methodological approaches that can be applied to help advance and mature the field of AI system evaluation. Prior experience with AI system evaluation specifically is not required. We especially encourage applications from candidates interested in topics including but not limited to: applications of methodologies from psychometrics and educational testing to the design and validation of evaluations (including methods such as item response theory, factor analysis, and other latent variable models); measurement theory from the social sciences; reliability of generative AI systems and generative AI system evaluation; validity of generative AI system evaluation; improving human and automated annotation methods for use in evaluation; participatory methods in measurement (including how different stakeholders interpret/work with/set goals for AI system measurement).

Preferred and Required Qualifications:

• Currently enrolled in a relevant PhD program.
• Demonstrated ability to conduct original research.
• Ability to collaborate effectively with other researchers and product development teams.
• Proficient interpersonal skills, cross-group, and cross-culture collaboration.
• Ability to think unconventionally to derive creative and innovative solutions.
   

Stipend:

• The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month.

Application Deadline: December 18th, 2024, with applications accepted until all positions are filled

For additional detail, and to apply online, see Microsoft's job posting.