Research Scientist jobs at Harvard University - 29 jobs

REQUIRED: A bachelor's degree in economics, computer science, mathematics, statistics, or a related field; a minimum of two years of specialized experience quantitative data analysis, research methods, and/or social sciences research (which may include coursework or experience gained as an undergraduate); experience with programming skills, particularly around data analysis, cleaning, and simulations. Job #25113 This is a full-time, one-year appointment that is renewable annually, contingent on funding and mutual agreement. The starting pay for this position is $69,294. Applicants must apply via MIT's hiring site and complete an application at this link. This is not a data scientist role; some minimum economics training is required. Based at MIT in Cambridge, MA. 7/31/2025 RESEARCH POLICY ASSOCIATE I, Blueprint Labs, to support research initiatives; work closely with one or more of the Blueprint Labs Directors or Co-Directors, including Josh Angrist, Parag Pathak, Nikhil Agarwal, and David Autor, plus collaborators at other universities; and construct and prepare data for analysis, conducting analysis in Stata, Python, and/or R (or similar), presenting results and engaging in discussion in project meetings, and editing papers and other materials for publication and diverse audiences. Blueprint Labs uses data, econometrics, and analytic tools to generate insights on the consequences of policy choices and improve society. The full job description is available here: ***************************************

Number of Vacancies: 1 Employment Status: Full Time, Temporary Pay Plan, Series & Grade: DS0058/301/8 Salary Range: $25.99 per hour ($54,075 annually) School of Engineering and Applied sciences (SEAS) at University of the District of Columbia (UDC) is currently in need of a responsible individual to fill the position of postdoctoral research associate for a federally funded research and education center. Our newly started Center of Nanotechnology Research and Education (CNRE) is seeking a postdoctoral scholar to assist in multiple center activities. CNRE provides opportunities to work in exciting and high impact research fields such as nanoscale electronics, spintronics, solar cells, and metamaterials. A successful candidate will be supervised by experienced and internationally renowned faculty advisors. The postdoctoral candidate may have an opportunity to work in collaboration with nearby National Institute of Standards and Technology (NIST) and other industrial partners and will have the ability to build their network for career advancement. This position is primarily a temporary/training position in which the incumbent plays a substantive role in planning and conducting research by using quantitative and qualitative methods to collect, analyze and report data activities. In collaboration with the Principal Investigator, this role will participate in the planning of independent research, will analyze and interpret data, will publish results, will represent the university at conferences and meetings, and may develop new theories and methodologies. This position may also help the Principal Investigator to lead and direct the work of lower level research staff. This role performs work under the supervision of experienced researchers. Essential Duties and Responsibilities * Conducts high quality research in the area of interest; * Works closely with graduate and undergraduate students and contribute to joint projects; * Participates with teaching and outreach activities and programs; * Presents and publishes research findings at conferences and peer reviewed publications; * Prepares progress reports for the funding sources; * Conducts research in the area of experimental molecular spintronics devices and nanoscale materials-based devices and sensors. These nanoscale devices and sensors will be investigated for fundamental understanding and applications in related areas. * Makes devices using micro nanofabrication tools such as photolithography and thin film depositions with sputtering machine. * Nanoscale characterization with a variety of tools, e.g. Atomic Force Microscope (AFM), SEM, electrical transport, and spectroscopy instruments. * Low temperature transport or low temperature materials and device characterization. * Magnetic property testing Minimum Job Requirements * Doctoral degree in the related field * Highly self-motivated and proactive, with exemplary problem-solving skills. * Demonstrated ability to work independently as well as with teams * Strong oral and written communication skills Information to Applicant Condition of Employment: This is a sponsored program appointment. The duration of this appointment is subject to grant fund availability. Collective Bargaining Unit (Non-Union): This position is not in the collective bargaining unit. Employment Benefits: Depending upon length of appointment, selectee may or may not be eligible for full benefits such as health and life insurance, annual (vacation) and sick leave and may not be eligible for the University of the District of Columbia's retirement plan (TIAA). Equal Opportunity Employer: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation. Notice of Non-Discrimination: In accordance with the D.C. Human Rights Act of 1977, as amended, D.C. Official Code, Section 2-1401.01 et. seq., (Act) the University of the District of Columbia does not discriminate on the basis of actual or perceived actual race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, marital status, personal appearance, genetic information, familial status, source of income, status as a victim of an intrafamily offense, place of residence or business, or status as a covered veteran, as provided for and to the extent required by District and Federal statutes and regulations. Sexual harassment is a form of sex discrimination which is also prohibited by the Act. In addition, harassment based on any of the above protected categories is prohibited by the Act. Discrimination in violation of the Act will not be tolerated. Violators will be subject to disciplinary action. Veterans Preference: Applicants claiming veteran's preference must submit official proof at the time of application. Visa Sponsorship: While at this time the University of the District of Columbia does not provide sponsorship for visas (e.g. H-1B), we encourage and will consider individuals in an eligible OPT. Drug-Free Workplace: Pursuant to the requirements of the Drug-Free Workplace Act of 1988, the individual selected to fill this position will, as a condition of employment, be required to notify his/her immediate supervisor, in writing, not later than five (5) days after conviction of any criminal drug statute occurring in the workplace. Background Investigation: Employment with the University of the District of Columbia is contingent upon a satisfactory background investigation. The determination of a "satisfactory background investigation" is made at the sole discretion of the University of the District of Columbia. The University may refuse to hire a finalist, rescind an offer of employment to a finalist or review and may terminate the employment of a current employee based on the results of a background investigation. Disposition of Resume: Resumes received outside the area of consideration and/or after the closing date will not be given consideration. You must resubmit your resume to receive consideration for any subsequent advertised position vacancies. For the purpose of employment, resumes are not considered job applications. Therefore, if selected for employment a UDC application will be required. Job Offers: Official Job Offers are made by the University of the District of Columbia, Office of Talent Management only. Contact Information: All inquiries related to employment and job applications should be directed to UDC Office of Talent Management at **************. The University of the District of Columbia is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. For a full version of the University's EO Policy Statement, please visit: ****************************************************** .

REQUIRED: A minimum of a bachelor's degree in economics, computer science, mathematics, statistics, or a related field; a minimum of two years of specialized experience with qualitative data analysis, research methods, social sciences (which may include experience gained as an undergraduate); strong analytical/coding skills; quantitative and programming skills in Python and R; and strong time and project management skills, excellent attention to detail, and strong communication skills. PREFERRED: Enthusiasm for developing or applying cutting-edge machine learning methods to understand/find solutions to real world problems. Please apply online with a single PDF attachment titled "RA_Application_[First name]_[Last name].pdf", including: cover letter, resume, transcript if applicable. Questions should be directed to ***************. Application review and interviews will be conducted in January and early February 2026. Preferred start date is June 1st, 2026, with some flexibility, and an employment term of one to two years. 11/18/2025 PREDOCTORAL RESEARCHER, Economics, to support work at all stages of the research process on projects in economics and applied machine learning / artificial intelligence. This position offers the opportunity to gain exposure to and training in a broad set of statistical methods and economic research topics. Predoctoral Researchers will engage directly in the research process, and implement complete project pipelines covering data processing, machine learning, and statistical inference. Predoctoral Researchers will work on research projects with Professors Sendhil Mullainathan and Ashesh Rambachan along with their co-authors at MIT, the University of Chicago, Harvard University and other institutions. The role will entail close collaboration with all stages of the research process on projects that integrate machine learning / artificial intelligence and economics. These positions will be part of BikeShop@MIT, an interdisciplinary lab that integrates computing and economics to build algorithms that make people and the world better. The full job description is here: ****************************************************************************************************************************************************************

REQUIRED: A bachelor's degree in economics, computer science, mathematics, statistics, or a related field; minimum of two years of specialized experience with qualitative data analysis, research methods, social sciences (which may include experience gained as an undergraduate); and strong quantitative and programming skills in Python and R, time and project management skills, and excellent attention to detail. Preferred start date is June 1st, 2026 with some flexibility. An employment term of 1-2 years is expected. Apply online with a single PDF attachment titled "RA_Application_[First name]_[Last name].pdf", including: cover letter, resume, transcript if applicable. Questions should be directed to ***************. We will review all applications at the end of November and interviews will be conducted in December/January. Revised 10/15/2025 PREDOCTORAL RESEARCHER, Economics, to support work at all stages of the research process on research projects in the fields of econometrics and applied machine learning/artificial intelligence with Professor Ashesh Rambachan. This position offers the opportunity to gain exposure to and training in a broad set of statistical methods and economic research topics. Will engage directly in the research process and implement complete project pipelines covering data processing, machine learning, and statistical inference; work on research projects with Professor Ashesh Rambachan and his co-authors at MIT, the University of Chicago, Harvard University and other institutions; and collaborate with all stages of the research process on projects in the fields of econometrics and applied machine learning / artificial intelligence. Full job description is available here: ***************************************************************************************************************************************************

REQUIRED: A bachelor's degree in economics, computer science, mathematics, statistics or a related field; a minimum of two years of specialized experience with qualitative data analysis, research methods (which may include experience gained as an undergraduate); strong quantitative and programming skills, time and project management skills and high accuracy of details; and ability to deal with confidential information and/or issues using discretion. PREFERRED: Knowledge of Python, Stata or R; research experience; and experience working with large data sets. Preferred start date is June 1st, 2026, with some flexibility. An employment term of 1-2 years is expected. Please apply online with a single PDF attachment titled "RA_Application_[First name]_[Last name].pdf", including: cover letter, resume, transcript if applicable. Direct questions to Lindsey Raymond at ****************. 10/22/2025 PREDOCTORAL RESEARCHER, Economics, to support all stages of the research process on projects at the intersection of artificial intelligence, labor markets, and economics, investigating how the rapid adoption of AI is transforming work, and how algorithmic decision-making shapes markets; gain exposure to and training in a broad set of research topics in economics and computer science; and be responsible for collecting, cleaning, and analyzing data, natural language processing, and editing papers for publication. They will be fully integrated into the research community at MIT. The position is ideally suited to those planning to attend graduate school in economics, computer science, or a related field.

REQUIRED: A minimum of a bachelor's degree in economics, computer science, mathematics, statistics or a related field; a minimum of two years of specialized experience with qualitative data analysis, research methods, social sciences (which may include experience gained as an undergraduate); strong quantitative and programming skills; time and project management skills, with high accuracy of details; ability to deal with confidential information and/or issues using discretio. PREFERRED: Knowledge of Stata, Matlab, R, GIS, and/or Python and research experience, acquired through an RA-ship or an independent research project. Preferred start date is July 1st, 2026 with some flexibility. An employment term of 1-2 years is expected. Please apply online with a single PDF attachment titled "RA_Application_[First name]_[Last name].pdf", including: cover letter, resume, transcript if applicable. Direct questions to David Atkin or Dave Donaldson. A full copy of the job description can be viewed here. 10/22/2025 PREDOCTORAL RESEARCHER, Economics, to support work at all stages of the research process on a few new and ongoing research projects in the fields of industrial policy, international trade and development economics, under the guidance of Professor David Atkin or Professor Dave Donaldson. These positions offer the opportunity to gain exposure to and training in a broad set of economic research topics and methodologies. Specific responsibilities include collating, cleaning and organizing data, analyzing data using statistical software, presenting results, extending theoretical frameworks, and editing papers for publication. Data analysis work will include analyzing large datasets, including administrative datasets, credit registries, meteorological data and satellite imagery. They will be fully integrated into the research community at MIT. Attending seminars encouraged. The position is ideally suited to those planning to attend graduate school in economics.

We are looking for a highly skilled and motivated individuals to work as full-time research assistant for a period of at least one year, with the option to extend to two years. Our ideal employment start date would be between March 1 st to July 15 th , 2026, The work will entail close collaboration with all stages of the research process on several projects in the areas of fintech, cryptocurrencies and blockchain, financial intermediation, and consumer finance. This position offers the opportunity to gain exposure to a broad set of economic research topics and methodologies and is especially valuable for someone who wants to pursue a PhD or advanced Master's program in economics, finance, business analytics or related fields. The chosen candidates will also gain valuable experience analyzing large data sets and learning skills in machine learning, big data, econometric methods and working with unique data sets. Prinicipal Duties and Reponsibilities Perform analysis of large-scale quantitative and qualitative datasets as part of research projects. Use of new tools to collect and process data. Work with blockchain data and data from other digital platforms. Summarize and document research results and learn about different research agendas. Other duties are as needed or required. Bachelor's degree in Computer Science, Economics or Statistics, or a related field; minimum 2 years' specialized experience with qualitative data analysis, research methods, social sciences (which may include experience gained as an undergraduate; strong programming skills and experience, especially in Python, R or SQL; and ability to work independently to solve problems. Candidates must have authorization to work in the US for the duration of the appointment. Master's degree preferred. The pay range for Technical Associate I is $50,000-$63,000

REQUIRED: PhD, MD, or equivalent by June 30, 2026; demonstrated interest in interdisciplinary and translational research; strong analytical, communication, and project-management skills; and collaborative mindset and commitment to MIT's mission. A four-year, full-time appointment with a $90,000 annual salary (plus cost-of-living increases), MIT benefits, research support, and access to innovation resources. Fellows are based on MIT's Cambridge, MA campus. Applicants must submit all materials via the portal at ************************************** Applications are due February 1, 2026; finalists will interview March 30, and selections will be announced in April. Fellows begin between July 1 and September 1, 2026. 12/15/2025 BISWAS POSTDOCTORAL FELLOWSHIP, Office of Innovation and Strategy, to join the second round of the fellowship, a prestigious program supporting innovative, cross-disciplinary research through the MIT Health and Life Sciences (HEALS) Collaborative. The fellowship seeks exceptional early-career researchers pursuing high-impact work in areas such as AI and health, low-cost diagnostics, nano-scale therapeutics, neuroscience, women's health, and fundamental discovery-driven science. Will conduct original and collaborative research aligned with MIT HEALS; engage with faculty, staff, and industry partners to translate findings into real-world impact; participate in HEALS events, programming, and strategic initiatives; contribute through presentations, publications, and potential pilot projects; and collaborate across disciplines to advance the future of health and life sciences. Fellows receive a fully funded four-year appointment, faculty mentorship, participation in a strong cohort, and access to programming focused on academic, industry, and entrepreneurial career paths. Fellows may collaborate with MIT faculty from any department and must include a letter of support from their proposed faculty host. Applicants are encouraged to contact potential hosts early to discuss research plans.

REQUIRED: PhD, received within the last 24 months, in an engineering or science discipline related to micro/nanofabrication; excellent research and publication record; proven ability to independently design, execute, and optimize a broad range of fabrication processes; practical and theoretical familiarity with many process categories (e.g. lithography, ICP etching, PECVD deposition, diffusion, etc.); in-depth knowledge of plasma etching; expertise in data management and processing, and associated programming experience (e.g. Python, MATLAB, etc.); be methodical, detail-oriented, and a critical thinker that is willing to learn and perform a wide range of tasks with minimal supervision; enthusiasm for educating students about processing, fabrication solutions and approaches; and excellent interpersonal, planning, organizational, presentation, analytical, and written and oral communication skills. Candidates are expected to provide a one-page statement outlining their nanofabrication background, interests, and future career goals. 12/18/2025 POSTDOCTORAL ASSOCIATE - PLASMA ETCHING (PDPE), MIT.nano, is a one-year term appointment, that will help the broader MIT.nano research community better understand the complexity of plasma etching and contribute to new trends, methods, and knowledge in the lab. The PDPE will, in collaboration with MIT.nano staff, identify current and emerging etch process challenges, prioritize them and find solution approaches. The PDPE will aggregate and disseminate this knowledge across MIT.nano. This will be done by identifying knowledge bottlenecks, reviewing the literature, designing experiments to understand and improve tool performance, and - most importantly - by summarizing findings in white papers and application notes. A full job description can be found here: ********************************************************************************

REQUIRED: Ph.D. in computer science or related technical or engineering field; experience with Python, FastAPI, Swagger or other backend development tools; familiarity with database technologies (Dynamo DB or Influx DB), and deployment practices including both traditional server deployment (e.g., Docker) and cloud/serverless architectures (AWS SAM, Lambda, Amplify); experience with React or web and mobile application development; familiarity with GitHub; excellent project management and communication skills; ability to work with minimal supervision and prioritize work to meet deadlines; and ability to understand research results based on engineering theory at the master's level. 12/15/2025 POSTDOCTORAL ASSOCIATE, K. Lisa Yang Global Engineering and Research (GEAR) Center, to advance research on software, mobile apps, and hardware integration for irrigation controllers and system sizing tools designed for resource-constrained settings. The candidate will be responsible for the design, prototyping, troubleshooting, field testing, and iterative improvement of the software backend system for a mobile app that has hardware components. The aim of the research is to create a robust drip irrigation controller and app for resource-constrained farmers in the Middle East and North Africa that will optimize for maximum crop yields with minimal water and energy consumption and minimal capital costs. The candidate will regularly present research results at meetings and workshops, prepare progress reports for sponsors, and publish papers at conferences and in peer-reviewed journals. Opportunities might arise to be part of the founding team for a start-up company that spins off from the research. As a member of GEAR Center, the postdoctoral associate will be considered a Hock Tan Fellow.

REQUIRED: Ph.D. in Physics, Nuclear Engineering, Plasma Science, Computer Science, or a related field; experience with plasma physics, MHD stability, or fusion energy research; familiarity with large-scale data management, curation, FAIR data principles, and machine learning; experience conducting original scientific research as well as publishing in scientific journals; demonstrated skills in scientific programming (Python preferred, JAX desirable), and control system integration (C/C++ familiarity); strong communication and collaboration skills, with the ability to work effectively in a multi-institutional environment, including staff and students from MIT, other universities, national laboratories, and private industry; and commitment to mentoring and outreach in support of a diverse research community. This is a one-year position with the possibility of renewal depending on satisfactory performance and continued funding. The position will be 100% off-campus at General Atomics (GA) in San Diego, CA, working in close coordination with GA researchers and MIT collaborators, including Columbia University, UCSD, and UCI. Application material should include a cover letter, CV, and the names and contact information of three references. This material should be submitted as a single PDF in the resume field of the application. 11/12/2025 POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center (PSFC), to carry out fundamental and applied research in support of integrated core and edge MHD instability control for metallic wall tokamaks; work in the Disruptions group and focus on the application and controllability quantification of real-time solutions for avoiding and preventing off-normal events, e.g. tearing and neoclassical tearing modes in metal-wall scenarios; support the creation and validation of machine learning (ML) and hybrid physics + ML models to monitor and control the proximity to stability boundaries, their compliance with open and FAIR principles, besides leading/supporting experiments at DIII-D and international tokamaks; make original research contributions to the PSFC program; produce work for publication; present work at scientific conferences; and mentor graduate and undergraduate students.

REQUIRED: Ph.D. in Atmospheric science, Civil and Environmental engineering, mechanical engineering, or a related field; knowledge of and demonstrated skillset in physics-informed machine learning, numerical weather prediction, regional climate modeling, computational fluid dynamics, computer programming, high performance computing, data analysis, and technical writing; ability to work and communicate effectively in a multidisciplinary research team; track record of publications and scientific output; ability to work independently; and excellent organizational, analytical, and writing skills. PREFERRED: background in energy, power system modeling, and/or uncertainty quantification. To apply, please submit the following to Prof. Howland (****************) with [MCGC] in the subject line: Cover letter describing your relevant experience, scholarly interests, and preferred start date; Curriculum vitae & relevant publications; and 2-3 references (names and contact information). 11/17/2025 POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering (CEE) - Howland Lab, is a one-year Postdoctoral Scholar position supported in part by the flagship MIT Climate Grand Challenge project "Preparing for a new world of weather and climate extremes," a project which is co-lead by the Howland Lab and will join a collaborative group of Postdoctoral, PhD, SM, MEng, and undergraduate researchers in the Howland Lab and MIT Parsons Laboratory. Meeting escalating energy demand from emerging uses, such as artificial intelligence (AI) and data centers, will require an unprecedented scale-up in low-cost and reliable energy infrastructure, especially renewable energy generation, transmission, and energy storage. Minimizing the cost of maintaining a reliable balance between electricity supply and demand is critical to integrating renewable energy generation at scale. Meanwhile, the rapidly changing climate and extreme events are increasing the complexity of ensuring reliability in energy systems. Critically, there are major uncertainties in the future weather patterns on which energy systems depend. This project will integrate high-resolution climate model downscaling, based on dynamical modeling and generative AI, with high-fidelity energy system modeling to address key challenges at the interface between climate change mitigation and adaptation emerging in modern power systems.

REQUIRED: A Ph.D. in Chemistry by the start date; strong publication record in synthetic chemistry and photophysics; and excellent leadership and communication skills, both oral and written. PREFERRED: Experience with DFT or quantum-chemical calculations. This is a one-year appointment that may be renewed based on funding and performance. Applications must contain: 1) a cover letter, 2) a curriculum vitae (CV), and 3) a one-page research plan that reflects the candidates research interest relevant to job ad. These items must be submitted as a single PDF file. Due to volume, no documents willbe accepted via email. 11/4/2025 POSTDOCTORAL ASSOCIATE, Chemistry, to join the laboratory of Prof. Robert J. Gilliard, Jr. at Massachusetts Institute of Technology (MIT); work on projects related to the design, synthesis, and photophysical properties of helicenes, nanographenes, graphene nanoribbons, or other arene-rich supramolecular architectures; conduct advanced synthesis of a polycyclic aromatic hydrocarbons and various characterization methods, including but not limited to, nuclear magnetic resonance spectroscopy, ultraviolet-visible spectroscopy, photoluminescence spectroscopy, time correlated single photon counting, quantum yield measurements, cyclic voltammetry, and X-ray crystallography; ensures appropriate research record-keeping and data management; maintain laboratory instrumentation; and serve as a mentor and resource for junior lab members.

REQUIRED: Ph.D. in computer science, mechanical engineering, applied math, or related field with significant research experience in machine-learning/AI algorithm development, specifically in deep generative models and/or graph neural networks. Domain knowledge of Mechanical Engineering problems is not required. The ability to transfer your knowledge to Engineering problems is however expected. Please submit a single pdf with the following: cover letter specifying relevant qualifications, current research interests, and expertise; CV, statement of proposed research; this one-page statement should discuss novel research directions that the Postdoctoral Associate would like to initiate at the DeCoDE lab which align with the applicant's expertise, and one peer-reviewed publication. Additionally, three letters of reference, including contact information, will be required during the interview process. 10/20/2025 POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering Design in the Design Computation and Digital Engineering (DeCoDE) laboratory at MIT under the guidance of Dr. Faez Ahmed (************************ Will be responsible for researching, designing, and developing novel methods and algorithms for applications in the Engineering Design domain; demonstrating a commitment to deliver results; working on research proposals; and working in a team environment.

REQUIRED: Ph.D., in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics, or a related field by the date of hire; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written and verbal communication skills; self-motivation with and demonstrated ability to conduct independent research; strong analytical, problem-solving, communication, and interpersonal skills; and ability to deliver results, adapt to change, work on research proposals, and work in team-oriented environments. Application Requirements: Cover letter specifying relevant qualifications, current research interests, and expertise; curriculum vitae; one peer-reviewed publication; and three recommendation letters. Applications will be reviewed on a rolling basis. For more information about the position, please contact Prof. Raffaele Ferrari at ********************. This is a one-year position with a possibility of extension. The start date can be any time after September 1st. 8/21/2025 POSTDOCTORAL ASSOCIATE, Earth, Atmospheric & Planetary Sciences, to work with the Climate Modeling Alliance (CliMA), a multi-disciplinary team spanning MIT, Caltech, and NASA's Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with oceanographers, mathematicians, and software engineers to develop, validate, and use the ocean component of the new climate model, which leverages the Julia programming language to make it flexible, easy to use, and easy to extend and develop.

REQUIRED: A Ph.D. degree in Chemistry by start date; strong publication record in synthetic chemistry and photophysics; and excellent leadership and communication skills, both oral and written. This is a one-year appointment that may be renewed based on funding and performance. Applications must contain: 1) a cover letter, 2) a curriculum vitae (CV), and 3) a one-page research plan that reflects the candidates research interest relevant to job ad. These items must be submitted as a single PDF file. Due to volume, no documents will be accepted via email. 11/4/2025 POSTDOCTORAL ASSOCIATE, Chemistry, to join the laboratory of Prof. Robert J. Gilliard, Jr. at Massachusetts Institute of Technology (MIT); work on projects related to the design, synthesis, and photophysical properties of near-infrared absorbing and emitting dyes for bioimaging and optoelectronic materials; conduct advanced synthetic techniques, including small-scale work, inert-atmosphere synthesis, multi-step reaction sequences, and chromatography and various characterization methods including but not limited to, nuclear magnetic resonance spectroscopy, ultraviolet-visible spectroscopy, photoluminescence spectroscopy, time correlated single photon counting, quantum yield measurements, cyclic voltammetry, and X-ray crystallography; ensure appropriate research record-keeping and data management; maintain laboratory instrumentation; and serve as a mentor and resource for junior lab members.

REQUIRED: Candidates must have a doctoral degree in economics, education, public policy, political science, computer science, or a related field. Candidates should have a demonstrated track record of conducting microeconomic analysis and measuring the welfare impact of government policies using a public economic toolkit. Candidates must have strong management, communication, and technical skills. The Postdoctoral Associate will receive a full-time, one-year appointment that is renewable annually. An employment term of at least two years is strongly preferred. The expected starting salary range is competitive with the market. MIT can sponsor visa for this position. The position is based at the Massachusetts Institute of Technology (MIT) in Cambridge, MA. 10/14/2025 POSTDOCTORAL ASSOCIATE, POLICY IMPACTS, Economics, to conduct economic analysis on the welfare impacts of government policies; be part of Policy Impacts, an organization co-founded by Professor Hendren that is dedicated to improving the quality of government decision-making by promoting standardization in policy analysis; and work closely with Nathaniel Hendren and a range of collaborators at other universities along with a research team of pre-doctoral fellows based at MIT. The full job description is available here: *********************************************************************

REQUIRED: Ph.D. in immunology, glycobiology, synthetic biology, or a related area; experience managing an independent research project to completion and publication; a track record of innovation; excellent problem-solving, interpersonal, and oral and written communication skills; and ability to learn quickly, function both independently and as part of a team, and work with a variety of people from all backgrounds and at all levels of training. PREFERRED: expertise in high-dimensional flow cytometry, in vitro or in vivo immune models, animal models, human immunology, functional genomics (e.g., CRISPR screens), and/or single cell transcriptomics. Job #24315 Reopened 7/8/2025 POSTDOCTORAL ASSOCIATE, Koch Institute (KI) for Integrative Cancer Research-Stark Lab, to lead cutting-edge projects to better understand cancer immunology and develop new immunotherapies. To accomplish this, lab projects involve approaches from molecular and synthetic biology, immunology, glycobiology, and biological engineering. Experimental approaches used in the lab include cloning/molecular biology, protein engineering and biochemistry, mammalian cell/tissue culture, flow cytometry, next-generation sequencing, transcriptomics, and animal models of disease. This is an excellent opportunity for someone interested in exploring a frontier area of immunobiology to impact cancer and immune therapy while working with other passionate scientists in a collegial, interdisciplinary environment. The Stark Lab is committed to maintaining a work environment that encourages and values contributions by individuals from all backgrounds and lived experiences. In addition to professional development opportunities within the lab, will be able to take advantage of close ties to vibrant scientific communities across MIT, at the Ragon and Broad Institutes, and at the Dana-Farber Cancer Institute.

REQUIRED: Ph.D. in neuroscience, computer science, or a related field; experience in machine learning and developing and validating computational analysis workflows; attention to detail; excellent interpersonal, analytical, problem-solving, organizational, documentation, communication, and time-management skills; self-motivation and ability to work independently; and ability to work as part of a tightly knit team. 10/6/2025 POSTDOCTORAL ASSOCIATE, DORKENWALD LAB, McGovern Institute for Brain Research - Dorkenwald laboratory, to develop computational reconstruction, analysis, and modeling approaches for connectomics datasets. The lab develops computational approaches to reconstruct, analyze, and model large-scale connectomes, aiming to uncover organizational principles of neuronal circuits and how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection, human-in-the-loop proofreading of automated cell reconstructions, active-learning approaches for efficient annotation, and self-supervision approaches for tokenizing image datasets and cell reconstructions; Circuit analysis & modeling: Analysis of cortical connectomes, including comparative analyses across ages/regions; hypothesis-driven tests of discovered circuit rules; pair analyses with data-constrained models (e.g., RNNs, dynamical systems) and simulations; Morphology representation & multi-modal linking: Learn representations of detailed cell morphologies to link across datasets (within connectomics) and across modalities (e.g., EM Patch-seq) to build multi-modal connectomic resources that provide the basis for analyses that combine, e.g., connectivity with transcriptomic information; and publish in leading venues, maintain high-quality, reproducible code, collaborate across McGovern/BCS and external collaborators, and mentor students.