Fastepo

Title: Tuition and Health Fee Grants (Harvard PhD)

Summary: Tuition is charged to the student account in July for the fall term and in December for the spring term. All students are automatically enrolled in the Harvard University Student Health Program and charges are applied to the student account. Tuition grants are applied to the student account in equal installments at the start of each term unless otherwise indicated in the Notice of Financial Support (incoming students) or the GSAS Student Aid Portal (continuing students).

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Title: The GSAS Professional Development Fund for PhD Students (Harvard PhD)

Deadlines:

Students may apply for the Professional Development Fund during the following application periods:

• July 1 through August 31 (for October 1 fund disbursement)
• October 1 through December 20 (for February 1 fund disbursement)
• February 1 through April 30 (for June 1 fund disbursement).

Value:

Students can request any amount from a minimum of $300 up to a maximum of $2,500. Once the request is approved, the GSAS Office of Financial Aid will provide an award notification and disburse the award via a single stipend payment.

The entire amount does not have to be requested all at once; students may request smaller amounts multiple times until they reach a cumulative total of $2,500.

Eligibility:

• Eligibility will be noted in the Notice of Financial Support provided at the time of admission.
• Students must have entered a GSAS PhD program between fall 2015 and fall 2019, must be in their *third year or beyond, and must be deemed eligible by their directors of graduate studies.
• Students must be making satisfactory academic progress.
• Students must submit a funding proposal using the application instructions below.

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Title: Summer research awards (Harvard PhD)

Deadline: Various

Value:

The summer research award is a stipend equivalent to two months of the standard GSAS academic year stipend. 

Eligible PhD students receive the award in the summers following their first four academic years, with the exception of PhD students in East Asian Languages and Civilizations, who receive a summer research award in the summers following the first two academic years.

Eligibility:

For PhD students (Harvard PhD) in the humanities and social sciences programs of the Faculty of Arts and Sciences. Eligibility for summer research awards is indicated in the Notice of Financial Support. 

Students (Harvard PhD) with outside awards that provide comparable summer support are not eligible for this program.

More Details and Apply.

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Title: Hardship Funding (Harvard PhD)

Deadline: Various

Summary: At the Graduate School of Arts and Sciences, we understand that an emergency can cause significant stress and uncertainty, impacting your academic success and personal well-being. Students who experience financial hardship as the result of an emergency are encouraged to connect with the Office of Financial Aid. The financial aid staff can provide guidance and advice in navigating available resources.

Eligibility:

Hardship funding can provide relief for a variety of circumstances students (Harvard PhD) may encounter that cannot be reasonably resolved through loans or personal resources. These expenses include but are not limited to costs associated with:

• Medical or dental emergencies
• Family emergencies
• Natural disasters
• Residential fires or floods
• COVID-19 related expenses, including those associated with:
  • Housing security
  • Emergency travel
  • Living expense coverage

More Details and Apply.

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Title: Financial support via guaranteed teaching in Year 3 and Year 4 (Harvard PhD)

Deadline: Various

Summary:

Students invoke guaranteed teaching by confirming their teaching plans through the GSAS Student Aid Portal during the annual financial aid acceptance process. Based on this information, programs then begin the process of working with students to identify opportunities for guaranteed teaching. For this reason, students must alert their financial aid officers of any changes to their teaching plans no later than July 1 for the fall term, or December 1 for the spring term.

Deferring Support:

GSAS permits students to defer guaranteed teaching to a term later than noted in the Notice of Financial Support. Students electing to defer teaching indicate their intention through the GSAS Student Aid Portal during the annual financial aid acceptance process.

Students may not defer their guaranteed teaching beyond the G6 year.

Students who are considering deferring guaranteed teaching are strongly encouraged to contact their financial aid officers to review how such actions may impact their funding in future years.

Teaching Supplement (TF “Top-Up”)

Eligibility:

For PhD students in the humanities and social science programs of the Faculty of Arts and Sciences who (1) have invoked their guaranteed teaching and (2) are receiving total compensation that falls below the amount of the standard GSAS living stipend offered during the first two years of study. The purpose of the supplement is to ensure that students with guaranteed funding do not have to teach more than two standard sections per term to receive stipend-level financial support.

• Eligibility for the teaching supplement is determined each term.
• Students who are unable to teach because they have not met their program’s prerequisites for teaching eligibility are not eligible for the supplement.
• Students must teach the equivalent of two standard sections. Supplements will not ordinarily be awarded to students who have voluntarily elected to teach less than the guaranteed two standard section equivalent.
• Occasionally, a program may offer a student a guaranteed research assistantship or other paid opportunity instead of guaranteed teaching. In such cases, these non-teaching appointments will be treated as a teaching fellowship to calculate the teaching supplement.

More Details and Apply.

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Title: Year 5 tuition and health fee grants (Harvard PhD)

Deadline: Various

Summary:

As indicated in the Notice of Financial Support, PhD students in the humanities and social sciences programs of the Faculty of Arts and Sciences receive a fifth year of grant support to cover the GSAS facilities fee (i.e. tuition for advanced doctoral students) and Harvard University Student Health Program fees. G5 grants are designated for use during the academic year following the fourth year of tuition/health fee grant support and are available for use by both resident students and traveling scholars.

Deferring Support:

Students are permitted to defer their G3, G4, and G5 tuition and health fee grant funding to a subsequent academic year as needed, provided that all of this funding is utilized by the end of the G7 year. Students who are considering deferring funding are strongly encouraged to contact their financial aid officers to review how such actions may impact their funding in future years.

More Details and Apply.

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Title: Dissertation completion fellowships (Harvard PhD)

Deadline: Various

Summary:

GSAS provides a dissertation completion fellowship (DCF) for one academic year to eligible PhD students in the humanities and social sciences who anticipate completing their dissertations within the year. Eligibility for the DCF extends to students in the Faculty of Arts and Sciences humanities and social sciences programs and most interfaculty humanities and social science programs. The DCF represents the final year of eligibility for GSAS tuition grants and fellowships.

Students in Business Administration, Business Economics, and Organizational Behavior typically complete their programs using guaranteed funding that excludes the DCF. Prior to applying, they must consult with their program’s director of graduate studies to determine if the DCF is appropriate for their individual circumstances.

ELIGIBILITY:

Dissertation completion fellowships are available to students who have:

• completed all departmental requirements;
• completed an approved dissertation prospectus;
• completed two draft dissertation chapters (or one draft article for students in fields where the dissertation consists of three articles), confirmed by two faculty advisors, one of whom is the principal dissertation advisor.

To receive a DCF, students must review the Dissertation Completion Fellowship and Instructions for Dissertation Completion Fellowships sections of the GSAS website and apply for all internal and external completion fellowships for which they are eligible, either from a Harvard source, such as a research center or department, or from an external funding source.

• GSAS Presidential Scholars, Graduate Prize Fellows, and Ashford Fellows are not required to apply for alternative fellowships but must complete the dissertation completion fellowship application.
• Students who receive funding from a source external to GSAS must accept that award in lieu of DCF funding. In the event that the amount of the alternate award is less than that provided by the DCF, GSAS will provide a supplement to make up the difference. In some cases, an external award bonus may be offered.

CONDITIONS:

• Students should plan to utilize their DCF funding during their G5 or G6 year, and no later than their G7 year. While DCF requests from students beyond the G7 year will be considered on a case-by-case basis with the recommendation of a faculty advisor, awards are not guaranteed.
• DCFs must be used during a single academic year; they cannot be split across multiple academic years.
• While on a DCF, students may not hold a teaching appointment or other form of employment.
• Students ordinarily may not take classes while on a DCF.
• The DCF may not be combined with grants from other sources, with the exception of smaller grants. Students should contact their financial aid officer for guidance.
• Students may not hold research fellowships and DCFs concurrently. Research fellowships awarded to DCF recipients will be considered alternate completion funding, triggering a reduction to the DCF award and rendering the student ineligible for DCF funding in future years. Students interested in pursuing research fellowships are advised to withdraw their DCF applications.
• Students are expected to complete their dissertations during the completion year.
• Students who do not complete their dissertations during the DCF year may register for no more than one additional academic year of post-DCF study. During this time they are ineligible for GSAS tuition and fellowship support. They may, however, hold teaching and research appointments or apply for educational loans.

TUITION AND FEES:

Students awarded a DCF receive grant support to cover the GSAS facilities fee (i.e. tuition for advanced doctoral students) and Harvard University Student Health Program fees.

STIPEND:

Stipend amounts vary and are noted in the Notice of Financial Support. Once a student has been awarded a DCF, the stipend amount can be viewed in the GSAS Student Aid Portal.

More Details and Apply.

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Title: Postdoctoral Research Fellow – CAUSALab

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Title: Postdoctoral Research Position in Biostatistics and Data Science

Deadline: Open Until Filled

Location: Harvard T.H. Chan School of Public Health

Summary:

The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a postdoctoral research fellow position focused on developing innovative statistical and machine-learning methods for analyzing and integrating various types of complex biomedical data (e.g., electronic health record data, claims data, biobanks). Areas of particular interest include (but not limited to): (1) genetic risk prediction for underrepresented populations; (2) distributed causal inference in clinical research networks; (3) statistical methods for high-dimensional data. The postdoctoral fellow will be supervised by Dr. Rui Duan at Harvard and will work closely with collaborators across multiple institutions. The appointment will be for a one-year contract with potential for renewal. The fellow will be expected to participate in methodological research leading to publications in top statistical and applied journals.

Basic Qualifications:

1.  Doctoral degree in Biostatistics, Statistics, Computer Science, or a related quantitative field.
2. 2. Strong theoretical training in statistics or strong programing skills (R, Python, or C++) are desired.
3. 3. Excellent communication skills and good track record of writing scientific papers.

Learn More and Apply.

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Title: Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics

Deadline: Open Until Filled

Location: Harvard T.H. Chan School of Public Health

Summary:

A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records (EHR) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data.

Basic Qualifications:

Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills.

For the Research Associate position two years of postdoctoral experience is preferred.

Learn More and Apply.

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Title: Postdoctoral Fellowships at the Intersection of Systems and Theory

Deadline: Open Until Filled

Location: Harvard John A. Paulson School of Engineering and Applied Sciences

Summary:

We are looking for junior scientists who are especially interested in working at the intersection of systems and algorithmic theory, in areas such as programmable network architectures, data center network management, cloud computing, machine learning, and algorithms for the Internet. Example topics of interest include but are not limited to the design and analysis of sketches and filters for use in real systems, network telemetry, network security, network compression methods, and optimizing network performance for machine learning applications. The ideal candidate will be interested in both building real systems and either developing algorithms and data structures or using existing, underutilized results from the theoretical literature in system design.

The postdoc is intended to work with closely with Minlan Yu and Michael Mitzenmacher, and others involved in the group focused on Systems + Theory work that they are developing, as well as possibly other Harvard faculty.

Candidates should have backgrounds in systems and/or theoretical computer science. Candidates should demonstrate experience in working at the intersection of these areas, or otherwise demonstrate how they will be able to contribute at the intersection. The candidate will be expected to publish scholarly papers, attend internal, domestic, and international conferences and meetings, and take on a mentorship role for undergraduate and graduate students.

Harvard SEAS is dedicated to building a diverse community that is welcoming for everyone, regardless of disability, gender identity and expression, physical appearance, race, religion, or sexual orientation. We strongly encourage applications from members of underrepresented groups.

Basic Qualifications:

Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.

Learn More and Apply.

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Title: Postdoctoral Research Position in Biostatistics and Data Science

Deadline: Open Until Filled

Location: Department of Biostatistics

Summary:

The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a postdoctoral research fellow position focused on developing innovative statistical and machine-learning methods for analyzing and integrating various types of complex biomedical data (e.g., electronic health record data, claims data, biobanks). Areas of particular interest include (but not limited to): (1) genetic risk prediction for underrepresented populations; (2) distributed causal inference in clinical research networks; (3) statistical methods for high-dimensional data. The postdoctoral fellow will be supervised by Dr. Rui Duan at Harvard and will work closely with collaborators across multiple institutions. The appointment will be for a one-year contract with potential for renewal. The fellow will be expected to participate in methodological research leading to publications in top statistical and applied journals.

Requirements:

1. Doctoral degree in Biostatistics, Statistics, Computer Science, or a related quantitative field.

2. Strong theoretical training in statistics or strong programing skills (R, Python, or C++) are desired.

3. Excellent communication skills and good track record of writing scientific papers.

Learn More and Apply.

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Title: Postdoctoral Fellowship in Theory for Society

Deadline: Open Until Filled

Location: Department of Computer Science

Summary:

The Theory for Society Project invites applications for postdoctoral fellowships to advance a multidisciplinary understanding of and response to fairness issues in online hiring platforms and other systems that rely on user-provided natural language input. A key aspect of concern is that members of different groups may use different language to describe the same work-relevant experiences and work-related requirements.

The duration of the postdoc is one year with the possibility of renewal. Postdoctoral fellows will receive a generous salary as well as an allocation for research and travel expenses.

Relevant areas of expertise include: algorithms and complexity, natural language processing, and knowledge of the algorithmic fairness literature.

The John A. Paulson School of Engineering and Applied Sciences, the Computer Science Department, the Theory of Computation Group, and Theory for Society are dedicated to building a diverse community that is welcoming for everyone, regardless of disability, gender identity and expression, physical appearance, race, religion, or sexual orientation. We strongly encourage applications from members of underrepresented groups.

Requirements:

Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.

Learn More and Apply.

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Title: Postdoctoral Fellow in Materials Science

Deadline: Open Until Filled

Location: Materials Science & Mechanical Engineering

Summary:

The Lewis Lab is seeking a postdoctoral fellow with expertise in one or more of the following areas: nanoparticle synthesis, colloidal science, rheology, or granular media. The successful candidate will join a multidisciplinary team of researchers supported under a new ARO MURI award. The goal of this project is to develop a fundamental understanding of the transient yielding and printing behavior of highly heterogeneous particle systems.

Requirements:

Candidates must have a Doctorate degree in Chemistry, Materials Science, Chemical Engineering, or Applied Physics by the time the appointment begins.

Learn More and Apply.

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Title: Postdoctoral Fellow in Organ Engineering with the Lewis Lab

Deadline: Open Until Filled

Location: Harvard John A. Paulson School of Engineering and Applied Sciences

Summary:

The Lewis Lab is seeking a postdoctoral fellow with expertise in one or more of the following areas: stem cell biology, organoid differentiation, bioprinting, or tissue engineering. The successful candidate will join a multidisciplinary team of researchers supported under three new awards from NIH, DoD, and Wellcome Leap. The goals of these projects are to develop vascularized cerebral, cardiac, and renal organoids and to use the building blocks to fabricate functional organ-specific tissues at scale.

Requirements:

Candidates must have a Doctorate degree in Materials Science, Bioengineering, or Stem Cell and Regenerative Medicine, by the time the appointment begins.

Learn More and Apply.

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Title: Postdoctoral Fellowship in Applied Physics

Deadline: Open Until Filled

Location: Department of Applied Physics

Summary:

The Loncar Group is looking for a postdoctoral fellow with expertise in nanofabrication, integrated optics, nonlinear optics, and microwave photonics. The candidate will focus on design, fabrication, and characterization of chip-scale photonic devices and systems, and their application in microwave photonics

Requirements:

Ph.D. in Electrical Engineering, Applied Physics or Physics is required

Learn More and Apply.

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Title: Postdoctoral Fellow in Theoretical Neuroscience and/or Theory of Neural Computation

Deadline: Open Until Filled

Location: Department of Applied Mathematics

Summary:

A postdoctoral position is available in Cengiz Pehlevan’s group at Harvard University. We are looking for candidates with strong analytical and numerical skills, and backgrounds in (theoretical) neuroscience, applied mathematics, physics, engineering, computer science, or related fields. Our research areas are in theoretical neuroscience and the theory of neural computation in natural and artificial systems. The successful candidate will have the opportunity to join our ongoing projects and/or pursue new directions.

The position is funded for multiple years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. Review of applications will begin immediately. Ideal start date is around September 2023, but is flexible.

Requirements:

A Ph.D in (theoretical) neuroscience, applied mathematics, physics, engineering, computer science, or related fields.

Learn More and Apply.

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Title: Postdoctoral Fellow

Deadline: Open Until Filled

Location: Harvard T.H. Chan School of Public Health, Department of Biostatistics/Quantitative Cancer Biology and Analysis

Requirements:

A PhD in computational biology, biostatistics, applied mathematics, physics, biology, or related fields and demonstrated skill in methods and software development and the analysis of biological data are required.

Summary:

They are seeking a candidate with expertise in computational and systems biology to work as part of a multidisciplinary team developing methods relevant to the study of genetics, gene regulatory networks, and the use of quantitative imaging data as biomarkers. Our goal is to use these methods to better understand the development, progression, and response to therapy. The successful applicant will work directly with Dr. John Quackenbush, but will be part of a community of researchers consisting of Dr. Quackenbush, Dr. Kimberly Glass, Dr. John Platig, and Dr. Camila Lopes-Ramos, and members of their research teams.

Learn More and Apply.

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Title: Postdoctoral Position in Biophysics

Deadline: Open Until Filled

Location: Faculty of Arts and Sciences, Physics Department

Requirements:

Candidates should have basic training in molecular and cellular biology and biochemistry techniques, and experience in designing and executing in vitro and in vivo experiments. The appointment is contingent upon completion of a Ph.D.

Summary:

The collaboration uses a multi-disciplinary approach to understand how double strand breaks are repaired, and how that repair process provides insight into self-assembling systems. The postdoctoral scholar will carry out research related to DNA protein interactions monitored using bulk and single molecule techniques. The appointment duration is up to three years, with reappointment contingent upon funding and research collaboration.

Learn More and Apply.

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Title: Postdoctoral Fellow in Organ Engineering with the Lewis Lab

Deadline: Open Until Filled

Location: Harvard John A. Paulson School of Engineering and Applied Sciences

Requirements:

Candidates must have a Doctorate degree in Materials Science, Bioengineering, or Stem Cell and Regenerative Medicine, by the time the appointment begins.

Summary:

The Lewis Lab is seeking a postdoctoral fellow with expertise in one or more of the following areas: stem cell biology, organoid differentiation, bioprinting, or tissue engineering. The successful candidate will join a multidisciplinary team of researchers supported under three new awards from NIH, DoD, and Wellcome Leap. The goals of these projects are to develop vascularized cerebral, cardiac, and renal organoids and to use the building blocks to fabricate functional organ-specific tissues at scale.

Learn More and Apply.

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Title: Postdoc in Analysis of Novel Quantum Materials with Electron Microscopy Techniques

Deadline: Open Until Filled

Location: Harvard John A. Paulson School of Engineering and Applied Sciences, Quantum Materials

Requirements:

Applicants with (1) a background in high-resolution scanning transmission electron microscopy, (2) experience in the analysis of microscopy/spectroscopy data for uncovering subtle phenomena, (3) experience or strong interest in 4D-STEM techniques and (4) have an interest in developing a methodology for in-situ methods to help elucidate the behavior and properties of novel quantum materials are welcome to apply. For the electron microscopy experiments, our group will use aberration-corrected electron microscopes (JEOL ARM 200F, Hitachi HF-3300(S), aberration corrected LEEM, focused ion beams and other analytical tools located at the Center for Nanoscale Systems .

Summary:

They seek a postdoctoral fellow position in our group as part of the Harvard Quantum Initiative (HQI)  and the Center for Integrated Quantum Materials (CIQM)  in the area of Transmission and Scanning Transmission Electron Microscopy (S/TEM) of novel quantum materials. We seek to visualize and understand quantum phases of matter at the atomic scale sensing using TEM/STEM coupled to analytical methods Electron Holography, EDS and EELS as well as possible in situ manipulation. We aim to correlate atomic-scale insights with macroscopic properties and also induce novel phenomena in quantum materials. We plan to investigate a variety of material platforms, from layered 2D heterostructures to bulk crystals to atomically engineered oxides and more.

Learn More and Apply.

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Title: Postdoctoral Research Fellow

Deadline: Open Until Filled

Location: Harvard T.H. Chan School of Public Health

Requirements: Doctoral degree in biostatistics, statistics, computational biology, or related quantitative fields. Strong research experience in Bayesian modeling, Markov chain Monte Carlo methods is preferred. Also relevant would be experience with spatial statistical modeling or multivariate methods development. Excellent programing skills in R, C/C++ and/or Fortran as well as strong communication and writing skills are required.

Summary: Harvard T.H. Chan School of Public Health (HSPH) invites applications for a postdoctoral research fellow who will work on statistical methods development for multivariate spatial data and high-dimensional multivariate microbiome sequencing data. Under the joint supervision of Drs. Kyu Ha Lee (Nutrition, HSPH), Jacqueline Starr (Forsyth Institute), and Brent Coull (Biostatistics, HSPH). The initial appointment is for one year, with a possible extension for a second year. The position is available immediately, with negotiable start date.

Learn More and Apply.

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Title: Postdoctoral Fellow in Machine Learning and Design of Biological Systems

Deadline: Open Until Filled

Location: Faculty of Arts and Sciences

Requirements: Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in biology.

Summary: A postdoctoral position is currently available in the laboratory of Dr. Mor Nitzan at Harvard University’s Faculty of Arts and Sciences to study spatial and temporal aspects of interaction patterns in biological systems. We are looking for exceptional candidates with background in machine learning and/or computational biology.

Learn More and Apply.

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Title: Molecular & Integrative Physiological Sciences Postdoctoral Fellowships

Deadline: Open Until Filled

Location: Harvard T.H. Chan School of Public Health

Requirements:

Doctoral Degree

Summary:

Postdoctoral positions, including a named fellowship, are available at the Harvard T.H. Chan School of Public Health. Our faculty includes Drs. Joseph D. Brain (toxicology, fate and biologic effects of nanoparticles and metals, ARDS), James P. Butler (physics, applied mathematics, sleep, respiratory mechanics), Philip Demokritou (effects of nanoparticles on biological systems, nanoscience, aerosol engineering), Jeffrey Fredberg (bioengineering, cell migration in asthma and cancer), Bernardo Lemos (epigenetics, genomics, aging, nucleolus), Quan Lu (asthma, pyroptosis, GPCR signaling, extracellular vesicles), Zachary Nagel (lung cancer therapy and prevention, DNA repair, population studies), Jin-Ah Park (collective cell migration, mechanotransduction, asthma, airway epithelial biology), Kristopher Sarosiek (cell death, cancer, toxicology, environmental exposures), Zhi-Min Yuan (genetic engineered mouse models, p53, lung fibrosis). Together, we investigate mechanisms of disease that arise from environmental exposures.

Learn More and Apply.

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Title: Postdoctoral Fellowship

Deadline: Open Until Filled

Location: Harvard T.H. Chan School of Public Health, Genetics and Complex Diseases

Requirements: For our joint laboratory, we seek an outstanding individual with Ph.D. training in biochemistry and/or structural biology to study the mechanistic basis of lipid synthesis and lipid droplet formation. The successful candidate will be integral part of a collaboration with Dr. Maofu Liao’s single particle electron microscopy group in our department at Harvard Medical School.

Summary: The Department if Genetics and Complex Disease(GCD) at the Harvard School of Public Health (HSPH) seeks candidate for the position of Postdoctoral Fellowship. The Farese and Walther Laboratory studies the biochemistry of cellular lipid metabolism and homeostasis. We are particularly interested in neutral lipid synthesis and Lipid Droplet biogenesis.

Learn More and Apply.

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Title: Postdoctoral Fellow in Material Science & Mechanical Engineering

School: Harvard John A. Paulson School of Engineering and Applied Sciences

Department/Area: Material Science & Mechanical Engineering

Position Description:

Four postdoctoral positions in the Materials Intelligence Research group of Prof. Boris Kozinsky at Harvard University are open to develop and apply first principles and machine learning methods for computational materials physics and chemistry. Applications include investigation and design of catalysts, soft materials, energy conversion and storage materials, power electronics and thermoelectrics. The desired technical qualifications are experience with DFT or quantum chemistry calculations, method development and implementation of high-performance scientific software, with GPU capability, machine learning methods and automated computing workflows. Education requirement: PhD in Physics, Chemistry, Materials Science or related fields. Projects include:

1. Machine learning methods for large scale molecular dynamics. We are developing equivariant neural network models NequIP and Allegro for interatomic potentials, that advance the state of the art in accuracy and data efficiency. Efforts are aimed at learning computationally lean and geometrically rich representations and designing methods for quantifying uncertainty of predictions. We are also developing Bayesian Force Fields in the FLARE framework that combines rigorous uncertainty in Gaussian process regression with active learning. Resulting models are implemented in LAMMPS and are used to perform reactive dynamics simulations of billions of atoms.

2. Electrical and thermal transport from first principles. We are developing methods for predicting electrical, thermal, and magneto-transport coefficients in semiconductors within the Boltzmann transport and Wigner transport formalism. Applications include thermoelectric materials and 2D systems. We implement these methods in the Phoebe software framework which relies on Wannier/Fourier interpolation of first-principles carrier spectra and couplings.

3. Machine learning of exchange-correlation functionals. Current work in the group is focused on improvements and performance optimizations for the recently developed CIDER formalism for designing non-local XC functionals, with an eye toward applying the resulting functionals to currently intractable problems in catalysis and energy storage materials. Effort is aimed at generating training sets with high-order quantum calculations and designing combined models for the exchange and correlation energy as an explicit non-local functional of the electron density.

4. Simulations of catalysis reactions and ionic transport. The aim is to investigate large-scale and long-time evolution and discover mechanisms of reconstruction of surfaces and nanoparticles in reactive and solvated environments, ionic diffusion and phase transformations complex ceramic and polymer electrolytes. Methods will combine first principles, molecular dynamics, enhanced sampling and Monte Carlo simulations, with state of the art machine learning force field models.

Basic Qualifications: PhD in Physics, Chemistry, Materials Science or related fields by the time the appointment begins.

Learn More and Apply.