postdoctoral research associate

Carnegie Mellon University

<div><div><div><div><div><h2 class="jobSectionHeader">Carnegie Mellon University: Mellon College of Science: Chemistry</h2>
</div></div><div><div><h3 class="jobSectionHeader">Location</h3>
<div>Pittsburgh, PA</div>
</div><div><h3 class="jobSectionHeader">Open Date</h3>
Jul 10, 2026
</div></div><div><div><h3 class="jobSectionHeader">Description</h3>
<div><div>The Garcia-Bosch lab at Carnegie Mellon University is looking for a Postdoctoral Research Associate to work on the synthesis, characterization, and reactivity of copper systems capable of performing biologically relevant organic transformations under mild reaction conditions.
</div></div></div></div><div><div><h3 class="jobSectionHeader">Qualifications</h3>
<div><div>PhD in Inorganic Chemistry (or closely related field).
</div></div></div></div><div><div><h3 class="jobSectionHeader">Application Instructions</h3>
<div><div>Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted electronically via Interfolio.
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader">Application Process</h3>
<div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div><div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader">Equal Employment Opportunity Statement</h3>
<div><div>Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.</div></div></div></div></div></div>

Postdoctoral Research Associate - Garcia-Bosch Lab

Lincoln University

<div>PURPOSE:
The Postdoctoral Research Associate in AI/Machine Learning (AI/ML) will lead advanced analytical, AI/ML, and data science components of a USDA-funded forest farming project. The position will develop and apply state-of-the-art AI/ML methods to survey data to improve understanding of farmer behavior, forest farming adoption, and network development, and will contribute to capacity-building, and outreach activities that strengthen data-driven forest farming and agroforestry decision-making at Lincoln University and across Missouri.
ESSENTIAL JOB FUNCTIONS, DUTIES, &amp; RESPONSIBILITIES:<ul><li>
List essential job functions, duties &amp; responsibilities for the role. Try to be as detailed as possible.</li><li>
Design, implement, and validate machine learning models (random forests, support vector machines, neural networks) for survey nonresponse, response propensity estimation, and weighting adjustments using statewide farmer, landowner, and stakeholder survey data.</li><li>
Build AI/Natural Language Processing (NLP) pipelines (including large language models) to analyze open-ended survey and focus group data and predict farmer knowledge, attitudes, and adoption willingness.</li><li>
Apply multivariate and dimensionality-reduction techniques (PCA, Kernel-PCA, feature selection) to complex, mixed-type datasets.</li><li>
Integrate quantitative survey data (Likert-scale, categorical, and continuous variables) with qualitative and text-derived features to build predictive models of forest farming adoption, perceived barriers, and support needs among socially disadvantaged and resource-limited farmers.</li><li>
Translate analytical findings into outreach strategies, educational materials, economic analysis inputs, and policy recommendations.</li><li>
Prepare technical documentation, reproducible pipelines, and interpretation reports for technical and non-technical audiences.</li><li>
Develop and deliver educational modules, short courses, and training materials on AI/ML, data science, and cloud-based analytics (Google Cloud, no-code ML tools) for non-coding students, extension professionals, and farmers, with a strong emphasis on agriculture- and agroforestry-relevant applications.</li><li>
Contribute to evaluation metrics and grant deliverables (reports, model portfolios, AI/NLP frameworks, outreach summaries, policy documents).</li><li>
Lead or co-author peer-reviewed papers, conference presentations, and extension publications.</li><li>
Mentor graduate and undergraduate students on survey, qualitative, and data science tasks.</li></ul>
QUALIFICATIONS:<ul><li>
List mandatory qualifications.</li><li>
Ph.D. in Statistics, Data Science, Agricultural or Environmental Data Science, Quantitative Social Science, or a closely related field.</li><li>
Experience in developing and applying machine learning models (such as random forests, support vector machines, and neural networks) to empirical datasets.</li><li>
Experience with handling survey or social science data (e.g., Likert scales, categorical responses, mixed methods) and performing statistical modeling or ML-based analysis.</li><li>
Demonstrated competence in at least one major programming language used for data science (R or Python) and in statistical/ML software workflows.</li><li>
Record of peer-reviewed publications.</li><li>
Eligibility to work in the United States for the duration of the appointment.</li></ul>
PREFERRED QUALIFICATIONS:<ul><li>
List any preferred / optional qualifications for this role.</li><li>
Prior research experience in agriculture, forestry, agroforestry, environmental science, or related fields, especially projects involving farmers or landowners.</li><li>
Experience applying AI/ML methods to survey data for nonresponse adjustment, propensity weighting, or behavioral prediction.</li><li>
Background in NLP or text analytics, including work with open-ended survey responses, interviews, or focus group transcripts.</li><li>
Experience designing or delivering educational content on AI/ML, data science, or cloud computing (e.g., short courses, workshops, online modules) for non-coding or mixed-expertise audiences.</li><li>
Familiarity with cloud computing platforms (Google Cloud, AWS) for data analysis and ML model deployment, including use of no-code or low-code tools and AutoML services.</li><li>
Demonstrated interest or experience in community-engaged scholarship, extension, or citizen science, especially with underserved or socially disadvantaged farming populations.</li></ul>
PHYSICAL DEMANDS:<ul><li>
List physical demands as necessary. If none, describe the environment the employee will be working in, i.e. This position will work in an office environment with minimal exposure to physical work.</li><li>
This position will work primarily in an office environment.</li><li>
Occasional travel may be required for project meetings, workshops, field days, or outreach events at Lincoln University facilities, partner institutions, and community sites across Missouri.</li></ul>
This job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of Lincoln University. Since no job description can detail all the duties and responsibilities that may be required from time to time in the performance of a job, duties and responsibilities that may be inherent in a job, reasonably required for its performance, or required due to the changing nature of the job shall also be considered part of the jobholder's responsibility.</div>

Postdoctoral Research Associate in AI/Machine Learning

Brookhaven National Laboratory

<div>Brookhaven National Laboratory&rsquo;s National Synchrotron Light Source II (NSLS-II) seeks a Postdoctoral Research Associate for AI-driven Lab Automation for Life Sciences for an on-site position in the Biological, Environmental and Planetary Science Division.
The aim of the position is to advance the frontiers of structural biology by developing AI-driven methods for improving crystal quality at scale. This role will enable new discoveries in life sciences and bio-technology relying on structural biology methods.
The ideal candidate would have a background and an interest in Biophysics, Biochemistry, Artificial Intelligence and Machine Learning.
Join a team of scientists at the leading macromolecular crystallography beamlines, the crystallization laboratory, the computing center and contribute to science projects at the interface between AI method development and large-scale research facilities.
Essential Duties and Responsibilities
<ul><li>Develop and implement AI-enabled laboratory-workflows for automated crystallization screening, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes.
</li><li>Design and deploy computer vision methods to detect and track crystal growth.
</li><li>Develop closed-loop optimization approaches to recommend crystallization conditions and harvesting strategies based on experimental feedback.
</li><li>Develop, train and integrate AI/ML models with laboratory automation systems, including crystallization robotics, liquid handlers, and imaging platforms.
</li><li>Build scalable data pipelines linking experimental metadata, imaging data, and diffraction results for high-throughput analysis.
</li><li>Evaluate model performance using experimental metrics and support deployment into user-facing workflows.
</li><li>Collaborate with synchrotron beamline scientists and laboratory and crystallization staff.
</li><li>Document methods and results, contribute to manuscripts and reports, and present the work at conferences.
</li><li>Participate in interdisciplinary team science.
</li></ul>Required Knowledge, Skills, and Abilities
<ul><li>Ph.D. in computer science, bioinformatics, biophysics, applied mathematics, or related field.
</li><li>Expertise in machine learning, computer vision, or image analysis.
</li><li>Experience with data management and databases.
</li><li>Experience working with Python, scientific software development, version control and collaborative code development, such as Git
</li><li>Ability to work in interdisciplinary teams.
</li><li>Strong publication record.
</li></ul>Preferred Knowledge, Skills, and Abilities
<ul><li>Experience with machine learning frameworks (PyTorch, TensorFlow, etc.) and integrating ML in a research lab facility.
</li><li>Familiarity with lab automation or robotics.
</li><li>Experience with black-box optimization, including active learning or Bayesian optimization.
</li><li>Experience with imaging, time-series or high-dimensional data.
</li><li>Exposure to crystallography or structural biology.
</li><li>Experience with multimodal datasets and developing reproducible workflows.
</li><li>Familiarity with experiment tracking and metadata capture.
</li></ul>Additional Information:
<ul><li>This position is a 2-year term, with the possibility of renewal contingent on performance and funding availability
</li><li>Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $ $71,900-$119,000 / year. You will be placed at the level and salary commensurate with your experience. Salary offers will be commensurate with the final candidate&rsquo;s qualification, education and experience and considered with the internal peer group
</li><li>Candidates must have completed all degree requirements by the commencement of employment
</li>BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&amp;D position, excluding time associated with family planning, military service, illness or other life-changing events 
<li>
</li></ul> 
Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program 
 
Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory &ndash; view more information at www.bnl.gov/real-id . This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act . Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews . 
 
As a U.S. Department of Energy laboratory, Brookhaven National Laboratory requires employees to obtain and maintain a DOE Uncleared Personal Identity Verification (UPIV) credential in accordance with Homeland Security Presidential Directive 12 (HSPD-12) requirements. The credentialing process is completed as part of onboarding and enables access to DOE facilities and information systems. As a condition of employment, the selected candidate must be able to obtain and maintain a UPIV credential. These requirements are established under DOE Order 206.2 Chg. 2, Identity, Credential, and Access Management (ICAM- Identity, Credential, and Access Management (ICAM) ) , and DOE Order 473.1A- Physical Protection Program- Physical Protection Program . 
 
About Us
Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation&rsquo;s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&amp;D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy&rsquo;s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory . 
 
Equal Opportunity/Affirmative Action Employer 
Guided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. *VEVRAA Federal Contractor 
 
BSA employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file</div>

Postdoctoral Research Associate - AI-driven Lab Automation for Life Sciences

New York University Abu Dhabi

<div>
 The Shubeita laboratory in the program of Physics, New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate or Associate Research Scientist to work on unravelling principles that drive cellular organization.
 
 
 The successful applicant will lead research projects to study the interplay between active cytoskeletal transport, cytoskeletal organization, and the physical driving forces of macromolecular crowding. Research will take place within a multidisciplinary group of Post-doctoral and Pre-doctoral researchers trained in physics, biology, and chemistry with whom the successful candidate will collaborate closely.
 
 
 Applicants must have a PhD in physics or biological physics. Excellent analytical skills are required and prior experience in soft matter or biological physics research is preferable. Prior experience in the experimental techniques used in the lab such as optical tweezers and quantitative imaging is advantageous but not required.
 
 
 Applications will be accepted immediately and candidates will be considered until the position is filled. The successful candidate will be appointed as a Postdoctoral Associate if they received their PhD within the past five years, or as an Associate Research Scientist if more than five years have elapsed since the degree was awarded.
 
 
 To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree / copy of highest degree, a one-page summary of research accomplishments and interests and at least two letters of recommendation, all in PDF format.
 
 
 If you have any questions, please email: nyuad.shubeitalab@nyu.edu
 
 
 
 About NYUAD
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 
 Working for NYUAD
 
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.
 
 
 Visit our website for more information on benefits for you and your dependents.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 @WorkAtNYUAD
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Post-Doctoral Associate/ Associate Research Scientist in the Division of Science (Physics) - Dr. George Shubeita

University of Miami

<div>
 
 Current Employees:
 
 
 
 If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
 
 
 The University of Miami/UHealth Department of Psychiatry has an exciting opportunity for a full time Research Associate 1 to work in Miami, FL.
 
 
 Core responsibilities:
 
 
 <ul>
 <li>
 Understands and interprets research protocols and procedures.
 </li>
 <li>
 Participates in the publication of significant results.
 </li>
 <li>
 Maintains an overview of relevant research findings.
 </li>
 <li>
 Ensures all research is undertaken according to good research practice.
 </li>
 <li>
 Keeps abreast of current publications relative to methods, techniques, and developments within the area of research.
 </li>
 <li>
 Collects, prepares, analyzes, dissects, and evaluates specimens or tissue cultures.
 </li>
 <li>
 Operates and maintains laboratory equipment.
 </li>
 <li>
 Performs a variety of routine assays, tests, and studies.
 </li>
 <li>
 Performs calculations to complete research test results, collects data, and performs statistical analysis of laboratory results.
 </li>
 <li>
 Adheres to University and unit-level policies and procedures and safeguards University assets.
 
 
 
 </li>
 </ul>
 
 Department Specific Functions
 
 
 
 <ul>
 <li>
 Understanding and Interpreting Research Protocols: Interpret and comprehend research protocols and procedures relevant to assigned projects. This includes ensuring clarity regarding experimental methodologies, ethical considerations, and data collection procedures.
 </li>
 <li>
 Ensure that all research activities are conducted in accordance with established good research practices, ethical guidelines, and regulatory standards. This includes maintaining integrity in data collection, following proper experimental procedures, and safeguarding the welfare of research subjects.
 </li>
 <li>
 Collect, prepare, and document biomarker data as required for research purposes. This involves performing laboratory procedures with precision, attention to detail, and adherence to safety protocols to ensure accurate and reliable results.
 </li>
 <li>
 Perform a variety of neuropsychological batteries as directed by research protocols. This may include conducting tests, recording data, analyzing results, and documenting findings in accordance with established procedures and timelines.
 
 
 
 </li>
 </ul>
 
 
 This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
 
 
 
 
 
 Core Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in relevant field
 </li>
 <li>
 No prior experience required
 </li>
 <li>
 Skill in completing assignments accurately and with attention to detail.
 </li>
 <li>
 Ability to analyze, organize and prioritize work under pressure while meeting deadlines.
 </li>
 <li>
 Ability to process and handle confidential information with discretion.
 </li>
 <li>
 Ability to work evenings, nights, and weekends as necessary.
 </li>
 <li>
 Commitment to the University&rsquo;s core values.
 </li>
 <li>
 Ability to work independently and/or in a collaborative environment.
 
 
 
 </li>
 </ul>
 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
 
 
 UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.
 
 
 The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
 
 
 
 Job Status:
 
 
 
 Full time
 
 
 
 Employee Type:
 
 
 
 Staff
</div>

Research Associate 1

Programmers Force

Key Responsibilities<ul><li>Conduct deep-dive research into best practices across functions &mdash; HR (talent acquisition, performance management, compensation, culture), marketing (demand generation, brand, content), sales (pipeline management, enablement, outbound), operations, finance, and customer success</li><li>Benchmark PF's current processes, policies, tools, and metrics against industry leaders and regional peers; identify gaps and quantify opportunities for improvement</li><li>Track emerging trends, tools (including AI-driven tooling), frameworks, and regulatory developments relevant to each function</li><li>Convert findings into concise, decision-ready outputs &mdash; one-pagers, comparison matrices, playbook drafts, SOP recommendations, and executive briefs</li><li>Partner with department heads to validate findings, pilot recommended practices, and document what works into PF's internal playbooks</li><li>Support leadership with ad-hoc research requests &mdash; competitor analysis, vendor/tool evaluations, policy comparisons, and market scans &mdash; with fast turnaround</li><li>Maintain a structured, searchable repository of research, benchmarks, and sources</li></ul>What Success Looks Like<ul><li>Each core function has a documented benchmark of its practices vs. market best practice</li><li>Leadership receives a recurring research digest highlighting practices worth adopting, with clear recommendations</li><li>Research outputs are consistently rated as clear, well-sourced, and immediately usable by stakeholders</li></ul>Requirements<ul><li>Bachelor's degree in Business Administration, Economics, Management, HR, Marketing, or a related field</li><li>1&ndash;3 years of experience in research, consulting, strategy, business analysis, or a generalist operations role</li><li>Demonstrated ability to research a topic from scratch, evaluate source credibility, and distill large amounts of information into structured insights</li><li>Strong writing skills &mdash; able to produce crisp executive summaries, comparison tables, and structured reports in English</li><li>Intellectually curious, self-directed, and comfortable working across multiple domains simultaneously with minimal supervision</li></ul>Nice to Have<ul><li>Exposure to management consulting, market research firms, or a fast-scaling startup environment</li><li>Familiarity with functional metrics (e.g., attrition, CAC, pipeline conversion, NPS) and how to interpret them</li><li>Experience using AI tools (Claude, ChatGPT, Perplexity, etc.) to accelerate research and synthesis</li><li>Basic data skills &mdash; Excel modelling, survey design, or simple dashboarding</li></ul>Core Competencies<ul><li>Analytical rigor and structured thinking</li><li>Speed with quality &mdash; fast turnaround without sacrificing accuracy</li><li>Clear, concise business communication</li><li>Stakeholder management across functions and seniority levels</li><li>Ownership and follow-through from research to adoption</li></ul>Pay: Rs50,000.00 - Rs100,000.00 per monthWork Location: In person

Cross Functional Research Associate

William & Mary

<div>Job Requisition:
JR101923 Assistant Director, Graduate Center (Open)
Job Posting Title:
Assistant Director, Graduate Center
Department:
CC00235 WM001 | PROV | Vice Provost Academic Affairs
Job Family:
Staff - Program Management
Worker Sub-Type:
Regular (benefited)
Job Requisition Primary Location:
William &amp; Mary
Primary Job Posting Location:
Posting Location - William &amp; Mary
Job Description Summary:
Reporting to the Director of the Graduate Center, the Assistant Director will provide program management and operational oversight for the Center to include planning and facilitating professional development programs, workshops, and events; collecting and interpreting program impact data; and assisting with graduate student academic success programs. This new position aligns with the Center&rsquo;s recent shift to the Office of the Provost and expansion allowing support for research graduate students and postdoctoral scholars across academic units.
 
 
Responsibilities Include:
 
<ul><li>Working collaboratively as a thought partner with the Center&rsquo;s Director on strategic vision, implementation planning, and program priorities to expand the Center&rsquo;s reach and impact.
</li><li>Leading the development, implementation, and ongoing improvement of the Center&rsquo;s workshop series and related academic success programs.
</li><li>Designing, managing, and evaluating programs and resources that support graduate students and postdoctoral scholars across campus.
</li><li>Facilitating writing retreats, bootcamp-style programs, and other structured academic support initiatives that advance doctoral research and degree progress.
</li><li>Building and sustaining collaborative relationships with faculty, campus partners, and strategic collaborators to develop and deliver programs that advance the mission of the Center.
</li><li>Using assessment data and participant feedback to evaluate program effectiveness, identify emerging needs, and recommend improvements to Center services and priorities.
</li><li>Providing day-to-day operational leadership for student-facing Graduate Center activities, communications, and program logistics.
</li><li>Providing functional supervision, training, workflow direction, and performance feedback for two or more graduate assistants.
</li></ul>Job Description:
Required Qualifications:
<ul><li>Master&rsquo;s degree in a humanities, STEM, social sciences, or related field.
</li><li>Experience in higher education, such as university teaching, student or academic affairs, writing center administration, graduate education, academic success programming, or related field (typically 2+ years).
</li><li>Demonstrated success developing, delivering, or supporting programs for graduate students, postdoctoral scholars, or advanced learners in a higher education setting.
</li><li>Demonstrated ability to exercise independent judgment, manage complex priorities, and lead programs from planning through implementation and assessment.
</li><li>Excellent written and verbal communication skills, including the ability to communicate effectively with students, faculty, staff, and campus partners.
</li><li>Strong interpersonal skills and demonstrated ability to foster cooperative relationships with students, faculty, staff, and institutional stakeholders.
</li><li>Demonstrated ability to work autonomously as well as collaboratively in a complex academic environment.
</li></ul>Preferred Qualifications:
<ul><li>Demonstrated knowledge of graduate education, graduate student success, postdoctoral support, and/or professional development best practices.
</li><li>Experience teaching and/or tutoring writing and communication in a college or university setting.
</li><li>Experience with teaching, instructional design, learning facilitation, academic coaching, or student success programming in a college or university setting.
</li><li>Experience developing, managing, or assessing programs, workshops, events, or academic initiatives.
</li><li>Experience collecting, interpreting, and reporting program assessment data.
</li><li>Experience providing supervision, training, or work direction to students, graduate assistants, staff, or peer leaders.
</li><li>Demonstrated ability to prioritize multiple tasks and responsibilities, solve problems independently, and identify creative solutions to challenges.
</li></ul>Conditions of Employment:
<ul><li>This position may require working outside of normal business hours, including weekends and holidays.
</li></ul>Job Duties:
60% - Graduate Center Program Delivery and Management:
<ul><li>Provide leadership, coordination, and management of student-facing Graduate Center programs, including but not limited to the workshop series, Graduate Center Mentoring Program, Graduate Research Symposium, writing retreats, and other academic success initiatives.
</li><li>Design, implement, and continuously improve programs, workshops, and resources that support graduate student academic success, professional development, writing productivity, mentoring, research communication, and degree progress.
</li><li>Collaborate with faculty, academic units, and campus partners in the development, design, and delivery of workshops, courses, programs, and services that support graduate students and postdoctoral scholars.
</li><li>Provide high-impact academic success advising and coaching to graduate students, including support related to writing productivity, research progress, professional development, and navigating academic resources.
</li><li>Lead the coordination of professional development support for postdoctoral scholars in partnership with academic units, faculty, and campus stakeholders.
</li><li>Represent the Graduate Center in meetings, programs, and collaborative initiatives related to graduate student and postdoctoral scholar support.
</li><li>Exercise independent judgment in resolving programmatic issues, prioritizing student-facing services, and recommending improvements to program delivery.
</li></ul>15% - Program Assessment:
<ul><li>Oversee program and needs assessments to ensure Graduate Center programming is aligned with student needs, postdoctoral scholar needs, and university priorities.
</li><li>Gather, maintain, analyze, and interpret data on Graduate Center program participation, satisfaction, learning outcomes, and overall effectiveness.
</li><li>Use assessment findings to recommend program improvements, identify service gaps, and inform strategic planning.
</li><li>Collaborate with the Center Director to create reports, summaries, and presentations for internal stakeholders.
</li><li>Support the development of assessment practices that demonstrate the Center&rsquo;s impact on graduate student success, postdoctoral support, and institutional research priorities.
</li></ul>15% - Center Administration and Management:
<ul><li>Oversee day-to-day operations of the Graduate Center in collaboration with the Director, including program logistics, communications, scheduling, student-facing services, and coordination of Center activities.
</li><li>Provide functional supervision, training, workflow direction, and performance feedback for two or more graduate assistants.
</li><li>Establish and maintain processes that support effective program delivery, participant communication, event planning, and operational continuity.
</li><li>Oversee the Graduate Center website and online calendar to ensure information is accurate, accessible, timely, and aligned with Center priorities.
</li>Coordinate with campus partners and internal stakeholders to support Center operations, program visibility, and student engagement. 
<li>
</li></ul>10% - Professional Learning and Development:
<ul><li>Engage in ongoing professional learning and development to ensure the Center is aligned with best practices and emerging trends in graduate education, postdoctoral support, academic success, writing productivity, mentoring, and professional development.
</li><li>Participate in relevant professional organizations, conferences, trainings, and networks to strengthen Graduate Center programming and services.
</li><li>Monitor trends and promising practices in graduate education and postdoctoral support to inform program development and continuous improvement.
</li><li>Contribute to the advancement of W&amp;M&rsquo;s research reputation by supporting high-quality graduate and postdoctoral development initiatives.
</li></ul>Posting Range: $70,000-$80,000 commensurate with experience
Review Date: For full consideration please apply by July 30, 2026
Additional Job Description:
Job Profile:
JP0002 - Program Administrative Specialist II - Exempt - Salary - S10
Qualifications:
Compensation Grade:
S10
Recruiting Start Date:
2026-07-15
Position Restrictions:
Continuing E&amp;G funded position and not term-limited
EEO is the Law. Applicants can learn more about William &amp; Mary&rsquo;s status as an equal opportunity employer by viewing the &quot;Know Your Rights&quot; poster published by the U.S. Equal Employment Opportunity Commission. https:// www.eeoc.gov/know-your-rights-workplace-discrimination-illegal 
Background Check: William &amp; Mary is committed to providing a safe campus community. W&amp;M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check. 
Remote Work Disclaimer: Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor&rsquo;s ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.</div>

Assistant Director, Graduate Center

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