Post-PhD jobs

Two postdoctoral positions developing statistical methods for genetic regulation, Alzheimer’s disease, aging, and multi-omic data. A relevant PhD must be completed by the start date.

Postdoctoral research integrating ecological, social, economic, and policy data through quantitative systems models, causal modeling, scenario analysis, or agent-based modeling for grassland conservation.

Tenure-track teacher-scholar position spanning elementary statistics and upper-level mathematics or statistics, with undergraduate research and publication expectations.

Joint tenure-track search in Statistics and EECS focused on trustworthy AI and the foundations of statistical machine learning and AI. Applicants may be completing a relevant PhD.

Tenure-track search across theoretical, applied, and computational statistics, probability, data science, interdisciplinary applications, and adjacent machine learning. Applicants may be completing a relevant PhD.

Tenure-track search open to all areas of statistics. Applicants must complete a relevant PhD before appointment, and postdoctoral experience is preferred.

Tenure-track position teaching economics, statistics, and related business courses while maintaining an active research program. ABD applicants may be considered.

Two-year NIH-funded fellowship using large VA, Medicare, Medicaid, and civilian health datasets to develop advanced analytics, machine-learning, and population-health research. Applicants must hold a relevant doctorate and meet NIH citizenship or permanent-residency rules.

Postdoctoral research developing computational methods for pharmacogenomics, multi-omics, drug discovery, knowledge graphs, NLP, and precision therapeutics. A relevant PhD and strong programming experience are required.

Tenure-track position teaching data science and statistics, developing undergraduate curriculum, and supporting applied research and capstone work. The PhD must be completed before August 2027.

Tenure-track liberal-arts position teaching across statistics and data science while maintaining an active research program. Applicants with a relevant PhD or ABD status are eligible.

Renewable non-tenure-track position focused on undergraduate statistics teaching, mentoring, and course coordination. A PhD in statistics or a related field is required by August 2027.

Two tenure-eligible positions spanning statistical or probabilistic research, with particular interest in data science, big data, AI, and machine learning. A relevant PhD is required.

Postdoctoral research developing privacy-aware agentic AI systems for theoretical-physics workflows and evaluating them through real research projects. A PhD in physics or a related field is required by the negotiable 2027 start.

Tenure-track search in statistical methods for health data, with particular interest in precision medicine, causal inference, adaptive trials, data integration, and evidence synthesis.

Postdoctoral research and mentoring in sports analytics, with projects motivated by Duke Athletics and other teams. A PhD in statistical science or a related field is expected by the July 2027 start.

Tenure-track econometrics and statistics search for applicants who hold a relevant PhD or expect to complete it by July 2027 or soon afterward.

Tenure-track search for biostatistical and health-AI methods, including causal inference, predictive modeling, and data science for public-health research. Applicants may be ABD but must complete the doctorate by the appointment date.

Postdoctoral or research-scientist role developing stochastic motion planning, machine learning, and optimization for aerial robotics. A doctorate in engineering, computer science, or a closely related field is required.

Tenure-track position teaching and conducting research in business analytics, statistics, data science, or AI. ABD applicants are eligible, with doctorate completion required by August 2027.

Tenured or tenure-track search in AI-enabled experiments for health, including causal inference, experimental design, reinforcement learning, adaptive interventions, and clinical trials. A relevant doctorate is required by the appointment date.

Tenure-track research and teaching position developing AI, machine-learning, robotics, or data-science methods for agriculture, forestry, and natural systems. A relevant doctorate is required.

Research-scientist position leading two randomized trials in American Samoa, with work spanning study implementation, intervention adaptation, quantitative and qualitative analysis, and publication. A doctoral degree in epidemiology, public health, implementation science, or a related field is required.

Postdoctoral appointment developing theoretical, computational, and algorithmic methods in AI, statistics, or applied mathematics for biomedical research. Prior biology or medicine experience is not required.

Postdoctoral research on psychosocial factors, aging, cognition, and biobehavioral pathways using longitudinal, causal-inference, time-series, latent, and multilevel methods in large epidemiologic cohorts.

Non-tenure-track faculty role developing multimodal AI, medical-imaging, biomedical-informatics, and data-platform methods for large collaborative biomedical research programs.

Tenured-professor appointment serving as inaugural director of a new interdisciplinary school spanning data science, statistics, mathematics, actuarial science, and AI. Senior academic leadership experience is required.

Non-tenure-track research-faculty role developing causal inference and computational social-science methods for digital engagement, online experiments, gaming analytics, and AI-enabled policy analysis.

Tenure-track faculty search across statistics, with research, teaching, and graduate and undergraduate advising responsibilities. A PhD in statistics or a closely related field is required.

Fall 2027 semester fellowship associated with the Diffusion Generative Modeling program. Applicants should be within five years of their PhD; candidates completing the doctorate before the program and junior faculty are eligible.

Two- or three-year faculty fellowship spanning computer science, including machine learning, data science, scientific computing, and optimization, with one course of teaching per semester.

Tenure-track open-rank search developing AI methods and applications for healthcare, including biomedical informatics, clinical decision support, medical imaging, NLP, and big-data analysis.

Two-year quantitative research position modeling marine-mammal distributions with statistical, geospatial, and scientific-programming methods. Remote work may be possible under university policy.

Research-faculty position in AI, data science, systems engineering, and evaluation for national-security applications. U.S. citizenship and eligibility for a security clearance are required.

Senior research role leading quantitative analysis of market microstructure, pricing, and financial regulation while managing a team of researchers and its technical research stack.

Open-rank faculty search in statistical and probabilistic foundations of machine learning and data science, including high-dimensional statistics, causal inference, uncertainty, fairness, and interpretability.

Tenure-track search in theoretical statistics, learning theory, or adjacent areas motivated by AI, machine learning, high-dimensional data, and modern applications. The doctorate must be completed by appointment.

Open-rank faculty search for researchers developing statistical, computational, machine-learning, or AI methods motivated by important real-world problems. The doctorate must be completed by appointment.

Department-chair search for an established statistical-methodology scholar with academic leadership experience across cancer research, trials, genomics, causal inference, machine learning, and AI.

Full-time teaching-faculty role contributing to statistics and data-science courses, interdisciplinary data analysis, and curriculum development. Degree requirements must be completed by appointment.

Tenure-stream cluster hire in quantitative science across Faculty of Science departments. The search is restricted to qualified scholars who self-identify as Black; a relevant PhD is required.

Tenure-track joint search for foundational statistical and optimization methods for safe and reliable AI in biomedicine and public health. The doctorate must be completed by appointment.

Faculty role combining collaborative clinical and translational research, teaching, and independent methods work, with interests including machine learning, causal inference, Bayesian methods, trials, and real-world data.

Renewable teaching-faculty appointment in data science, with rank based on qualifications. Preferred areas include undergraduate and graduate data science or machine-learning education.

Flexible postdoctoral research appointment connecting biological processes with social behavior in a lab spanning social, biological, and computational science.

Two-year theory postdoc in quantum algorithms and information, including applications of high-dimensional probability and learning theory to quantum systems and algorithm design.

Non-tenure research-track faculty positions developing causal-inference and machine-learning methods for observational and experimental health data, including perinatal research. At least one year of postdoctoral experience is expected.

Tenure-track search applying data science and AI to social and behavioral public-health questions. Candidates should hold a doctoral degree and develop rigorous quantitative methods with substantive public-health applications.

Tenure-track search for broadly applicable AI and machine-learning methods that advance biological discovery across cellular, molecular, genomic, spatial, imaging, and multimodal data.

Two-year fellowship, with possible extension to a third year, combining independent research in statistical theory and methods with a light teaching load. The PhD must be completed by appointment.

Tenure-track or tenured faculty search in biostatistics, with special interest in machine learning, AI, high-dimensional analysis, and novel clinical-trial design.

Tenure-track faculty search spanning foundations and applications of data science and AI, including trustworthy AI, scientific AI, privacy, visualization, and scalable systems. The PhD must be completed by appointment.

Industry role leading statistical design, analysis, and reporting for oncology clinical-utility studies. A PhD is preferred alongside substantial clinical-trial biostatistics experience.

Tenure-track search for statistical methods motivated by sports or human-performance data, including machine learning, Bayesian methods, causal inference, and complex longitudinal or spatiotemporal data.

Two-year fellowship, renewable for a third year, for quantitative researchers developing computational and statistical methods for biological and biomedical discovery. The doctorate must be received between January 2025 and August 2027.

Postdoctoral fellowship across UC San Diego, UCLA, UT Austin, and Penn for foundational methods in mathematics, statistics, computer science, engineering, and domain applications.

Two tenure-track positions for research in causal inference, Bayesian computation, statistics, machine learning, or related areas. The doctorate must be completed by the August 2027 start.

Renewable teaching-faculty appointment covering advanced undergraduate statistics and data-science courses. A PhD is preferred, and the position begins August 2027.

Tenure-track faculty search across statistics and data science. Applicants need a PhD in statistics or a related field and a strong research and teaching record.

Tenure-track position developing spatial statistics, statistical learning, machine learning, or AI methods for geographic, social, and environmental questions. The PhD must be complete before hire.

Tenure-track search in statistical science, broadly construed, including theory, methods, computation, machine learning, AI, education, and interdisciplinary applications. The PhD must be completed by appointment.

One-year DukeNLP appointment, renewable for a second year, studying factual and robust language generation, agentic workflows, human evaluation, and accountable AI.

Senior tenure-stream search in computational foundations for data science, including simulation, inference, optimization, randomized numerical methods, and scalable high-dimensional algorithms.

Tenure-stream search in computational foundations for data science, including simulation, inference, optimization, randomized numerical methods, and scalable high-dimensional algorithms.

Up to three years of support for independent and collaborative research in foundational or interdisciplinary data science and AI. The PhD must be completed by the appointment date.

Open-rank search spanning applied statistics, causal inference, experimental design, statistical theory, machine learning, AI for science, and data-analysis tools. The doctorate must be completed by August 2027.

Two-year teaching and scholarship appointment, renewable for a third year, with mentoring across the University of Chicago and City Colleges of Chicago. A relevant PhD is required.

Open-rank professor-of-instruction search for statistics and data-science education. A doctorate in statistics, computer science, biostatistics, data science, or a related field is required by August 2027.

Tenure-track statistics and data-science role combining teaching, scholarship, student mentoring, and service. The doctorate may be completed during the first academic year.

Independent two-year research fellowship, renewable for a third year, using computational and statistical methods, machine learning, modeling, or simulation to study astrophysical systems.

Two-year fellowship centered on open-source scientific software and research using statistical, machine-learning, data-analysis, simulation, or high-performance-computing methods.

Open-rank tenure-track or tenured search in statistics, data science, or a closely related field. The doctorate may be completed by July 2027.

Teaching-focused faculty role spanning business statistics, analytics, machine learning, and emerging AI topics. A relevant graduate degree must be completed before Fall 2027.

Joint tenure-track search in statistics or machine learning with applications to single-cell or spatial genomics. The doctorate must be completed before the position starts.

Tenure-track statistics and data-science role developing statistical methods for AI-enabled biomedical or pharmaceutical research. The doctorate may be completed by August 1, 2027.

NIH-funded T32 training in addiction research spanning statistics, genetics, large-scale data, and neuroimaging. Applicants need a relevant PhD and U.S. citizenship or permanent residency.

Postdoctoral opportunity spanning Biostatistics, Statistics, Machine Learning. Review the source for project details, eligibility, and application materials.

Open-rank faculty search emphasizing foundational and methodological research in NLP and large language models, including training, reasoning, evaluation, and efficient implementation. A relevant PhD must be completed by August 2027 or the appointment start date.

Research position spanning Biostatistics, Statistics, Data Science. Review the source for appointment terms, qualifications, and application materials.

Postdoctoral opportunity spanning Biostatistics, Statistics, Computational Biology. Review the source for project details, eligibility, and application materials.

Postdoctoral opportunity spanning Biostatistics, Statistics, Causal Inference. Review the source for project details, eligibility, and application materials.

Faculty position spanning Statistics. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Postdoctoral research combining biophysical modeling, statistical learning, generative modeling, and scientific machine learning for complex biological processes.

Clinical Assistant Professor or Associate Professor of the Practice appointment for PhD holders focused on teaching and curricular development in data science, machine learning, AI, and data engineering.

Faculty position spanning Biostatistics, Statistics. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Postdoctoral opportunity spanning Biostatistics, Statistics, Data Science. Review the source for project details, eligibility, and application materials.

Two-year research fellowship, renewable once for up to two more years, spanning AI theory, machine learning, data science, complex networks, mathematical biology, and AI-driven biophysics. A relevant doctorate is required by the start date.

Tenured full-professor search at the interface of statistics and AI, spanning foundations, methodology, trustworthy AI-enabled discovery, teaching, and mentoring.

Two-year postdoctoral project developing statistical or machine-learning methods that translate acoustic observations into calibrated abundance estimates and connect them with eBird monitoring.

Tenure-track statistics role supporting undergraduate and graduate teaching, research, and the MS in Applied Statistics. The doctorate must be completed by August 2027.

Industry role developing AI, machine-learning, and advanced-analytics products for banking supervision. The work includes data pipelines, cloud analytics, Python or R, and communication with policy and technical teams.

Faculty position spanning Statistics, Machine Learning. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science, Machine Learning. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Machine Learning, AI. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Two-year faculty fellowship for interdisciplinary research in core machine learning, AI for science, computational social science, or responsible AI, with one data-science course taught each year. A doctorate is required by the September 2027 start.

Two permanent staff-scientist positions developing and applying statistical and computational methods for environmental-health data, including causal exposomics, statistical genetics, multimodal data, and large biomedical cohorts. A doctorate plus at least two years of postdoctoral or relevant experience is required.

Postdoctoral research on statistical methods for functional and distributional data analysis, with applications to digital biomarkers and open-source R software.

Research and technology leadership role setting institute strategy, coordinating AI laboratories and engineering programs, building industrial partnerships, and securing funding.

Two- and three-year postdoctoral positions building joint simulation-based inference for large-scale structure and gamma-ray data. Strong statistics or machine-learning applicants moving into astrophysics are welcome.

Postdoctoral opportunity spanning Biostatistics, Statistics, Machine Learning. Review the source for project details, eligibility, and application materials.

Postdoctoral opportunity spanning Biostatistics, Statistics, Machine Learning. Review the source for project details, eligibility, and application materials.

Faculty position spanning Statistics, AI. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science, Machine Learning. Review the source for rank, research, teaching, and application requirements.

Research-focused open-rank faculty search spanning data science, statistics, applied mathematics, AI, and interdisciplinary work with genetics, agriculture, or health.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Data Science, AI. Review the source for rank, research, teaching, and application requirements.

Research-and-teaching faculty role in statistics, data science, or machine learning. Applicants may have completed or be close to completing a PhD by the September 2027 start.

Faculty position spanning Biostatistics, Statistics, Genomics. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Tenure-track search for foundational or use-inspired data science and AI in the life, natural, physical, and engineering sciences, including scientific machine learning, causal inference, and computational biology.

Industry role leading causal and econometric analysis for pricing, product launches, revenue, cost, and churn. Methods include experiments, synthetic controls, staggered rollouts, instrumental variables, RDD, DiD, panel models, and time series.

Faculty position spanning Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Biostatistics, Statistics, Machine Learning. Review the source for rank, research, teaching, and application requirements.

Tenure-track search in human-centered data science and AI, including responsible AI, algorithmic accountability, interpretability, privacy, security, and applications in the social sciences.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Postdoctoral opportunity spanning Biostatistics, Statistics, Data Science. Review the source for project details, eligibility, and application materials.

Postdoctoral opportunity spanning Biostatistics, Statistics, Data Science. Review the source for project details, eligibility, and application materials.

Faculty position spanning Statistics. Review the source for rank, research, teaching, and application requirements.

Postdoctoral opportunity spanning Statistics. Review the source for project details, eligibility, and application materials.

Faculty position spanning Biostatistics, Statistics, Public Health. Review the source for rank, research, teaching, and application requirements.

Tenure-track statistics role with preferred research areas in machine learning, AI, data science, or biostatistics. The PhD must be completed by August 2027.

Two-year teaching fellowship for recent PhD graduates or advanced doctoral candidates. Statistics is a priority area, and fellows teach in Duke Kunshan's undergraduate program.

Postdoctoral opportunity spanning Biostatistics, Statistics, Data Science. Review the source for project details, eligibility, and application materials.

Tenure-track role supporting a new undergraduate data science and statistics major through teaching, scholarship, mentoring, and curricular development.

Postdoctoral research integrating eBird and passive-acoustic data through statistical and machine-learning methods, with emphasis on joint inference and biodiversity monitoring.

Faculty position spanning Statistics. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Postdoctoral opportunity spanning Biostatistics, Statistics, Data Science. Review the source for project details, eligibility, and application materials.

Faculty position spanning Biostatistics, Statistics. Review the source for rank, research, teaching, and application requirements.

Research-leadership appointments to establish AI laboratories spanning foundational methods, industrial decision systems, multimodal models, embodied AI, digital twins, and scientific discovery.

Industry role spanning Biostatistics, Statistics. Review the source for experience requirements, location, and application details.

Early-career visiting fellowship for recent or soon-to-be PhD graduates working across statistics, data science, machine learning, AI, computer science, and related fields.

Faculty position spanning Statistics. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science, AI. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Postdoctoral opportunity spanning Biostatistics, Statistics, Genomics. Review the source for project details, eligibility, and application materials.

Postdoctoral opportunity spanning Biostatistics, Statistics, Public Health. Review the source for project details, eligibility, and application materials.

Faculty position spanning Statistics, Data Science, Machine Learning. Review the source for rank, research, teaching, and application requirements.

Multiple tenure-track positions at the assistant, associate, or full-professor rank in operations management, operations research, or business analytics. A doctorate in operations or a related discipline is required by September 2027.

Postdoctoral research on educational data science and AI, including multimodal tutoring data, experimental and quasi-experimental analysis, privacy-preserving pipelines, and AI tutoring agents.

Faculty position spanning Biostatistics, Statistics, Public Health. Review the source for rank, research, teaching, and application requirements.

Postdoctoral opportunity spanning Biostatistics, Statistics. Review the source for project details, eligibility, and application materials.

Industry role spanning Biostatistics, Statistics. Review the source for experience requirements, location, and application details.

Postdoctoral opportunity spanning Biostatistics, Statistics, Data Science. Review the source for project details, eligibility, and application materials.

Postdoctoral opportunity spanning Biostatistics, Statistics, Computational Biology. Review the source for project details, eligibility, and application materials.

Tenure-track position developing AI, machine-learning, or data-science methods for public-policy problems and teaching computational or numerical skills. A relevant PhD is required by the July 2027 start.

Postdoctoral opportunity spanning Statistics, Data Science, AI. Review the source for project details, eligibility, and application materials.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Research position spanning Biostatistics, Statistics. Review the source for appointment terms, qualifications, and application materials.

Faculty position spanning Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty search centered on applied probability, machine learning, market analytics, operations research, and statistics. Applicants may have completed or nearly completed a PhD.

Postdoctoral opportunity spanning Biostatistics, Statistics, Data Science. Review the source for project details, eligibility, and application materials.

Postdoctoral opportunity spanning Biostatistics, Statistics, AI. Review the source for project details, eligibility, and application materials.

Several two-year postdoctoral positions in theoretical and computational nonequilibrium statistical physics and active matter. Applicants need a PhD in theoretical physics, applied mathematics, or a related discipline.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science, AI. Review the source for rank, research, teaching, and application requirements.

Joint tenure-track search at the interface of statistical methodology, AI, data science, and business applications. A PhD in statistics, data science, computer science, econometrics, or a related field is required.

Research position spanning Biostatistics, Statistics, Public Health. Review the source for appointment terms, qualifications, and application materials.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science, Machine Learning. Review the source for rank, research, teaching, and application requirements.

Multiple tenure-track posts spanning business analytics, statistics, operations management, information systems, machine learning, and AI. A relevant PhD is required.

Postdoctoral opportunity spanning Biostatistics, Statistics, Causal Inference. Review the source for project details, eligibility, and application materials.

Tenure-track associate-professor search for mid-career biostatisticians with PI or MPI funding history to lead methods research, collaborate in biomedicine, teach, and mentor graduate students.

Permanent research-faculty role applying data science to shared experimental data, simulation, prediction, and interdisciplinary fusion science. Applicants may complete the PhD before appointment.

Postdoctoral opportunity spanning Statistics, Public Health. Review the source for project details, eligibility, and application materials.

Postdoctoral opportunity spanning Biostatistics, Statistics. Review the source for project details, eligibility, and application materials.

Tenure-track assistant-professor search for data-science and mathematical-AI methods connected with real-world problems. Expertise may span statistics, data science, operations research, optimization, or related fields; a relevant PhD is required.

Faculty position spanning Biostatistics, Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Faculty position spanning Statistics, Data Science. Review the source for rank, research, teaching, and application requirements.

Postdoctoral opportunity spanning Biostatistics, Statistics, Data Science. Review the source for project details, eligibility, and application materials.

Postdoctoral research developing statistical and machine-learning methods for causal gene-regulatory and other biological networks using high-dimensional single-cell data.

Multiple tenured or tenure-track positions in statistical research, broadly defined, with teaching and mentoring in statistics and data science. A relevant PhD is required by the start date.

One-year, full-time research appointment at the intersection of computer vision, robotic manipulation, and machine learning. A relevant PhD received within two years of starting, a publication record, and perception or manipulation experience are required.

Research role developing methods to understand the internal mechanisms of large language models, with an emphasis on interpretability and AI safety.

Four-month, full-time empirical research fellowship in AI safety and security. Python proficiency is required; a PhD is not mandatory. Fellows must reside in and have work authorization for the US, UK, or Canada; remote participation is available.

Four-month, full-time research fellowship in machine learning systems and reinforcement learning. Python proficiency is required; a PhD is not mandatory. Fellows must reside in and have work authorization for the US, UK, or Canada.

Four-month, full-time fellowship for empirical research on AI's economic and societal effects, including labor markets. Python proficiency and work authorization in the US, UK, or Canada are required. A PhD is not mandatory.

Postdoctoral support for interdisciplinary AI research. Applicants need support from two EPFL AI Center professors and a PhD received within two years of the deadline, or completed before the appointment starts.

Two-year interdisciplinary postdoctoral fellowship in AI foundations and applications, with joint supervision by two principal investigators. The program expects to appoint 8–12 fellows, typically starting in September 2027.

Up to two years of life-science research support, including computational and quantitative biology. International mobility and an eligible host are required. Applicants need a qualifying first-author publication and must satisfy the PhD timing rules.

Joint application for two fellowship programs supporting independent research in computational mathematics, data science, AI, and scientific computing. The PhD must be completed by October 1, 2027, with no more than three years of postdoctoral experience.

Up to four years of support for AI applications across STEM and medicine, with a research grant. Applicants need an NTU project mentor, a STEM PhD received in 2023 or later, and availability to start by March 31, 2027.

Research fellowship and research instructorship tracks in mathematics and statistics. Restricted to US citizens, nationals, and permanent residents, with the doctorate completed before appointment and no more than two years before January 1 of the award year.

Early-career staff appointment with three years of fellowship support, including AI and advanced computing research. A PhD within five years, or expected within six months of applying, is required. Current and recent ORNL staff and postdocs are ineligible.

Independent postdoctoral research in laboratory priority areas, including data science and computing. Applicants must have earned a PhD within three years or complete it before starting, and must have US work authorization.

Three-year fellowship for fundamental natural-science research, including mathematics and statistics. Applicants must be within three years of the PhD and have no more than two years of postdoctoral experience at the start; current Stanford trainees are ineligible.

Fellowship for applying AI to science and engineering. The PhD must be earned after September 1, 2022 and before the 2027 start. Basic biological research is eligible; projects focused on diagnosis, prevention, or treatment are not.

Non-tenure-track faculty role supporting oncology trials and translational research, with opportunities for collaborative and independent methods work. Recent doctoral graduates may substitute coursework for experience.

Three-year role leading statistical work for complex clinical-trial data, protocols, analysis plans, grant proposals, and quality assurance within the Oxford Clinical Trials Research Unit.

Tenure-track search at the interface of statistics and AI, spanning foundations, methodology, and trustworthy AI-enabled discovery. Expected July 2027 start.

Research across OpenAI teams for candidates with a record of developing new machine-learning ideas and the ability to own a long-running research agenda.

Open-rank research-faculty search for statistics, data science, computer science, AI, and related fields. Researchers may choose whether to teach.

Staff-level data-science role shaping experimentation methods and infrastructure at the intersection of statistics, causal inference, product analytics, and AI.

Six open-rank positions across ECE, with emphasis areas that include AI and machine learning, robotics, quantum, chip design and manufacturing, and bioimaging.

Open-rank faculty role in core AI, including generative AI, foundation and multimodal models, agents, machine learning, and trustworthy AI. Starts September 2027.

Senior faculty role combining research leadership, teaching, curriculum development, and graduate supervision in applied mathematics and statistics. Five-year renewable appointment from September 2027.

Research fellowships spanning statistical machine learning and gravitational-wave astronomy. Relevant areas include simulation-based inference, Gaussian processes, Bayesian optimization, RL, and model misspecification.

Tenure-track position in any area of statistics or probability, broadly understood, with an expected September 2027 start.

Tenure-track role in fundamental AI, including efficient and high-performance methods, interpretability and control, safety, privacy, evaluation, and AI for scientific discovery.

Postdoctoral support for researchers building dual expertise across cancer immunology and computational biology, data science, or genomics.

Multiple teaching-stream faculty positions in data science, computer science, or related fields for the 2027–28 academic year.

Open-rank tenure-track and tenured positions across statistics, data science, machine learning, AI, computer science, and related areas. Anticipated July 2027 start.