5,806 Graduate Researcher jobs in the United States

The Entropy for Energy (S4E) Laboratory at Johns Hopkins University (PI Corey Oses) has openings for postdoctoral researchers in the data-driven discovery of energy materials. Projects focus on innovating clean hydrogen production, waste-heat conversion, nuclear power, and energy storage.
A. Doctorate in materials science, physics, chemistry, computer science or related fields.
B. Ability to move to and work at Johns Hopkins University, USA.
C. Proven track-record of first-author publications and presentations. A minimum of three peerreviewed, first-author publications must be accessible by the S4E team.
D. Proven experience with VASP, Quantum ESPRESSO, LAMMPS, or other ab-initio codes.
E. Strong programming skills in C++ and Python and proficiency with Unix systems.
F. Ability to lead research projects and collaborate with experimentalists.
G. Fundamental understanding of thermodynamics of materials, solid-state physics, inorganic chemistry, and metallurgy at the level of theory/implementation.
H. Expertise in any of the following areas: high-entropy materials, disorder, phonons, magnetism, catalysis, machine learning/artificial intelligence, database/API development, aflow.org repositories.
I. Citizens of China, Russia, North Korea, and Iran are not permitted to participate.
Graduate students near the completion of their Ph.D. are welcome to apply.
Salary: $62,132 - $69,890
Submit a single PDF file via Interfolio named "Lastname_Firstname_S4E_202508.pdf" containing a cover letter, CV, and contact information for 3 references. The cover letter should address each point of the qualifications list explicitly (i.e., A, B, C, .). Provide ample examples and details where possible. Applications without explicit responses will not be reviewed.
OPTIONAL: DOIs for 3 recent and relevant publications can be included at the end of the packet.
Questions can be sent to the S4E team (entropy4energy at jhu.edu); subject line must contain "S4E Post-Doc".
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law

The Entropy for Energy (S4E) Laboratory at Johns Hopkins University (PI Prof. Corey Oses) has openings for postdoctoral researchers. The postdoc will be co-advised by Prof. A. Shoji Hall at the University of Pennsylvania ( .
We invite applications for a postdoctoral researcher position focused on the design and construction of reactors with next generation catalysts for thermochemical processes. Candidates will collaborate with other experimental, theoretical, and machine learning groups to efficiently optimize reactor designs. This position offers a unique opportunity to work at the forefront of renewable energy research and catalysts, developing innovative solutions with high commercial impact for sustainable fuel production.
A. Doctorate in chemical engineering, materials science, physics, chemistry, or related fields.
B. Ability to move to and work at Johns Hopkins University, USA.
C. Track-record of first-author publications and presentations. A minimum of three peer-reviewed, first-author publications must be accessible by the S4E team.
D. Experience in reactor engineering or chemical kinetics, and solid-state materials.
E. Ability to lead research projects and collaborate with other experimentalists/computationalists.
Graduate students near the completion of their Ph.D. are welcome to apply.
Salary: $62,132 - $69,890
Submit a single PDF file via Interfolio named "Lastname_Firstname_S4E_202501.pdf" containing a cover letter, CV, and contact information for 3 references. The cover letter should address each point of the qualifications list explicitly (i.e., A, B, C, .). Provide ample examples and details where possible. Applications without explicit responses will not be reviewed.
OPTIONAL: DOIs for 3 recent and relevant publications can be included at the end of the packet.
Questions can be sent to the S4E team (entropy4energy at jhu.edu); subject line must contain "S4E Post-Doc".
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law

Our client, a prestigious research institution, is looking for a highly motivated Postdoctoral Researcher to join their cutting-edge Genomics laboratory in **Atlanta, Georgia, US**. This position offers an excellent opportunity to conduct groundbreaking research in the field of human genomics, focusing on the genetic basis of complex diseases. You will work on diverse projects, utilize advanced sequencing technologies, and contribute to high-impact publications. This is a full-time, bench-oriented role.

Key Responsibilities:

• Design and conduct experiments related to human genetics and genomics, including next-generation sequencing (NGS) library preparation and analysis.
• Analyze large-scale genomic datasets using bioinformatics tools and statistical methods.
• Develop and implement novel analytical pipelines for variant calling, association studies, and functional genomics.
• Collaborate with computational biologists and clinicians to interpret genomic findings in the context of disease mechanisms.
• Maintain meticulous experimental records and document all research procedures.
• Prepare manuscripts for publication in high-impact peer-reviewed journals.
• Present research findings at national and international scientific conferences.
• Contribute to grant writing and proposal development.
• Mentor graduate students and junior researchers in the lab.
• Stay updated on the latest advancements in genomics, bioinformatics, and related fields.

Qualifications:

• Ph.D. in Genetics, Molecular Biology, Bioinformatics, or a related life science discipline.
• Demonstrated expertise in human genetics and genomics research.
• Hands-on experience with various NGS technologies and library preparation methods.
• Strong proficiency in bioinformatics software, scripting languages (e.g., Python, R), and command-line environments.
• Experience with statistical analysis and data visualization techniques.
• Knowledge of human disease genetics and relevant biological pathways.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication abilities.
• Ability to work independently and as part of a collaborative team.
• A proven track record of research productivity, including publications and presentations.

This role provides a stimulating environment for a dedicated researcher to expand their scientific knowledge and contribute significantly to the understanding of human genetic diseases.

**Posting Title**
Director's Fellowship Postdoctoral Researcher
.
**Location**
CO - Golden
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**Position Type**
Postdoc (Fixed Term)
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**Hours Per Week**
40
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**Working at NREL**
The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
Join the National Renewable Energy Laboratory (NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NREL stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NREL, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
**Learn about NREL's critical objectives:** NREL's Mission and Vision ( .
**Job Description**
The NREL Director's Fellowship attracts the next generation of exceptionally qualified scientists and engineers with outstanding talent and credentials in renewable energy research and related disciplines. Candidates are selected based on eligibility, program expectations, and research proposals. Overriding consideration, when evaluating the application, will be the quality of the candidate. Successful candidates will serve a two-year term, with a possible third-year renewal paid with program funding (maximum three-year appointments). The Director's Fellowship includes a premium salary rate, additional funding for conferences/presentations, competitive benefits package, and relocation assistance (for moves greater than 50 miles from NREL).
**Additional Required Knowledge Skills and Attributes**
**_Please note that your application will be considered incomplete if submitted without the required information, and will not be reviewed._**
1. Cover page (please include: name, title of proposal and NREL mentor)
2. Curriculum Vitae
3. A letter of recommendation from your current supervisor or academic advisor
4. Research proposal addressing the long-term engineering, scientific, or analysis needs which would support the laboratory's mission and goals: focus on the proposed research and identify an appropriate area within the laboratory to host the research; clearly state the research challenges; identify the scientific or technological questions that are associated with the challenge; define the strategy to address these questions; and define an approach. **Please download and complete the proposal template for FY2025 and submit with you application to the Director's Fellowship** proposal template ( **.** ***Note you should develop this proposal with your mentor, see Research ( to find potential mentors. Please review eligibility ( requirements of mentors before selecting a mentor.
5. NREL mentor's letter of intent to support the candidate ***Note please review the eligibility ( requirements for potential mentors.
6. Names and contact information of two additional individuals from nationally known faculty or scientists in relevant disciplines who are knowledgeable about the candidate's capabilities and research
7. Proof of PhD degree **prior to assignment start date** .
***Please upload all 7 items in One (1) PDF under the "resume" option within the applicant tracking system
.
**Basic Qualifications**
-For current PhD students: All Ph.D. requirements completed prior to appointment and be at an early point in a promising career of world-class research and leadership in the appropriate discipline.
-For PhD graduates: Must have received your PhD in Applied Engineering, Fundamental Science, Engineering or Science Technology with substantial work in analysis within two years of the application deadline.
*** Must meet educational requirements prior to employment start date.**
**Additional Required Qualifications**
**Preferred Qualifications**
.
**Job Application Submission Window**
The anticipated closing window for application submission is up to 30 days and may be extended as needed.
**Annual Salary Range (based on full-time 40 hours per week)**
Job Profile: Postdoctoral Researcher / Annual Salary Range: $74,900 - $123,600
NREL takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
**Benefits Summary**
Benefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.
*** Based on eligibility rules
**Badging Requirement**
NREL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.
**Drug Free Workplace**
NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
**Submission Guidelines**
Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
.
**Equal Opportunity Employer**
All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
**Reasonable Accommodations ( **-Verify** ** **For information about right to work, click here ( for English or** **here ( for Spanish.**
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy's effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States.
NREL is subject to Department of Energy (DOE) access restrictions. All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview and for hiring. DOE rules for site access during the interview process depend on whether the candidate is interviewed on-site, off-site, or via telephone or videoconference. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NREL by the Department of Energy (DOE).
**Drug Free Workplace**
NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Please review the information on our Hiring Process ( website before you create an account and apply for a job. We also hope you will learn more about NREL ( , visit our Careers site ( , and continue to search for job opportunities ( at the lab.

**Summary:**
Meta is seeking a Postdoctoral Researcher to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people by maximizing their personal utility and advertiser value. We are committed to making fundamental advances in Artificial Intelligence and Machine Learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep understanding of the users, ads, and any signals and contents related to their interactions. As a Postdoctoral Researcher, you will closely collaborate with Researchers and Engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale.
**Required Skills:**
Postdoctoral Researcher, Monetization (PhD) Responsibilities:
1. Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
2. Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques.
3. Produce and publish state-of-the-art research findings at relevant conferences to influence the progress of AI/Machine Learning.
4. Collaborate closely with cross-functional partners across varied disciplines and contribute towards Meta's research product development.
**Minimum Qualifications:**
Minimum Qualifications:
5. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
6. Currently has, or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, ML Systems, or related technical field or equivalent practical experience. Degree must be completed prior to joining Meta.
7. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
8. Experience with Deep Learning frameworks such as Pytorch or Tensorflow.
9. Experience with Python, C++, C, Java, or other related languages.
10. Experience with research and building systems based on Machine Learning and/or Deep Learning methods.
11. Experience in solving modeling problems using AI or Machine Learning methodologies.
**Preferred Qualifications:**
Preferred Qualifications:
12. Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar.
13. Research experience in reinforcement learning, causal learning, graph learning, graph neural networks, sequence modeling, next-generation and large-scale model architectures, ML systems and hardware-software co-design, data-related in general (e.g., semi/self/un-supervised learning, generative techniques, content understanding, LLM, etc.), or similar.
14. Extensive experience in designing and developing algorithms using popular Machine Learning frameworks (e.g PyTorch) in Python.
15. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
16. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training.
17. Experience working and communicating cross functionally in a team environment.
18. Experience in solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.
**Public Compensation:**
$117,000/year to $173,000/year + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Postdoctoral Researcher Env Microbiology**
**YOUR TASKS AND RESPONSIBILITIES**
We are looking for a Postdoctoral Scientist with Microbial Ecology or Environmental Microbiology expertise to join our dynamic international team and contribute to an ambitious project exploring and developing microbial communities for diverse R&D goals in Crop Science and Pharma. The new role will work closely with experts in Microbiology, Crop Sciences, Chemical and Manufacturing Engineering, and Data Science. This position is for 2 years and will be based in Chesterfield, MO. The expected start date for this position is October 1, 2025, with potential for a later date.
The primary responsibilities of this role, Postdoctoral Researcher - Environmental Microbiology, are to:
+ Leading experimental design in consultation with the project team to investigate and perturbate environmental microbial communities to achieve desired biochemical outcomes;
+ Perform experimental manipulations and sample processing, including DNA and RNA extraction;
+ Analyze genomic, metagenomic, and metatranscriptomic data to characterize microbial community structure and function;
+ Apply robust statistical analyses to microbial datasets to draw meaningful conclusions;
+ Manage data and maintain internal documentation in compliance with Bayer's standards;
+ Ensure timely updates and presentations of research progress and results to the project team;
+ Collaborate with a multidisciplinary, international team to achieve common research goals;
+ Communicate findings effectively through scientific writing and presentations, both internally and potentially externally;
+ Contribute to biotransformation, enzymatic, or bioremediation research as needed;
**WHO YOU ARE**
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
+ Ph.D. in Microbial Ecology, Microbial Metabolism, Environmental Microbiology, or related field;
+ Strong professional skills and expertise evident from publications and presentations;
+ Extensive experience in field work and conducting perturbation experiments with environmental microbial communities;
+ Experience with metagenomics and metatranscriptomics;
+ Experience characterizing biochemical cycles performed by microbial communities and /or the effects of environmental stress on microbial community structure and function;
+ Strong scientific writing and communication skills demonstrated through publications and presentations;
+ Demonstrated ability to develop testable hypotheses and apply robust statistical analyses to microbial data sets to draw meaningful conclusions and advance scientific understanding;
+ Self-driven with good time and project management skills;
+ Experience and/or desire to work as part of a large, multidisciplinary, international team on common goals;
Preferred Qualifications:
+ 1-2 years of postdoctoral research experience;
+ Experience in enhancing complex microbial communities to achieve a particular biochemical outcome; for example, work with synthetic communities;
+ Experience in biotransformation, enzymatic, or bioremediation research;
+ Targeted isolation and characterization of microbial strains with desired metabolic properties;
+ Bioinformatics skills.
This posting will be available for application until at least September 5, 2025.
Relocation may be offered for this role.
Employees can expect to be paid a salary between $86,394.40 to $129,591.60. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
**YOUR APPLICATION**
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer is an E-Verify Employer.
**Location:** United States : Missouri : Chesterfield
**Division:** Crop Science
**Reference Code:** 852076
**Contact Us**
**Email:**

**What You Will Do**
Postdocs in the CTA apply semi-analytical models, high performance multi-physics simulations, data analysis, and machine learning to solve critical problems across a wide variety of astrophysical topics. These include supernovae and kilonovae explosion mechanisms and transients, stellar evolution, gamma-ray bursts, accretion, stellar evolution, planetary physics, and cosmology. CTA works with LANL and external collaborators to tie these simulations with ground and satellite-based missions including HAWC, NuSTAR, LIGO, LISA, JWST, EHT, and ZTF. Together the CTA strives to apply the computational innovations from astrophysics to other laboratory programs including The Advanced Simulation and Computing Program, Office of Experimental Sciences, and Global Security.
**What You Need**
**Minimum Job Requirements:**
**Education:** Completion of a PhD in Astronomy, Astrophysics, Physics, Mathematics, Engineering, or related field within the last five years or expected completion within the current academic year.
**Desired Qualifications:**
**Technical Knowledge:**
+ Knowledge and experience in developing, applying, or analyzing numerical simulations to advance the understanding of astrophysics.
+ Expertise in one or more of the following areas: hydrodynamics, radiation transport, reaction networks, numerical relativity, atomic/molecular physics, nuclear physics, plasma physics, data analysis, or machine learning.
+ Experience with compiled or interpreted programming languages, for example: C, C++, Fortran, Julia, and/or Python.
**Technical Communication** :
Written and oral technical communication skills as evidenced by peer-reviewed journal publications and/or presentations at professional conferences.
**High-Performance Computing:**
Experience in working in a high-performance computing environment. This includes familiarity with running, developing, or post-processing simulations and data on large systems or experience in programing for GPU's and multi-core systems with MPI, CUDA, Kokkos, OpenMP, etc
**Collaboration:**
Experience working as a productive member of a team, including the demonstrated ability to develop solutions for complex problems while effectively networking with peers.
**Work Location:** The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
**Salary:** Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Starting salary for a new graduate is currently $92,000. For more information go to Postdoc Program website at ** **.**
**Note to Applicants:**
Inquiries should be sent to . When applying on-line, please include the following files with your application: a CV (please include month/year of PhD); three letters of reference (may be submitted online by applicant or emailed by letter writer to ( ) ); and a detailed cover letter describing the candidate's interest in working with the CTA, mentor(s) the candidate is interested in collaborating with, and how they satisfy the requirements for the position.
**Fellowship Opportunities:** Candidates may be considered for a Director's Fellowship, CNLS Fellowship, Chick Keller Fellowship, or Nicholas C. Metropolis Fellowship.
Postdoctoral positions are for 2 years, with a potential for a renewal for a third year.
Minimum salary for a postdoctoral researcher is $92,000 and can increase with post-PhD experience and fellowships.
For full consideration for the Metropolis Fellowship please apply by December 17, 2023. For all other positions apply by January 15, 2023 for full consideration.
For general information go to the websites for the Postdoc Program ( ) or the Center For Theoretical Astrophysics ( )
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
**Where You Will Work**
The Center for Theoretical Astrophysics (CTA) is seeking candidates for multiple postdoctoral positions in theoretical and computational astrophysics. The CTA consists of a diverse group of professionals from across LANL organizations with an interest in conducting and promoting cross-cutting astrophysics research at LANL. The CTA also connects methods and algorithms from astrophysics to applications in a variety of laboratory missions. With over 50 staff, students, and postdocs, the CTA encourages cross-disciplinary collaboration across a wide variety of astrophysical topics and provides a broad expertise and a strongly supportive community. The CTA is committed to creating and maintaining a supportive and inclusive environment.
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
§ PPO or High Deductible medical insurance with the same large nationwide network
§ Dental and vision insurance
§ Free basic life and disability insurance
§ Paid childbirth and parental leave
§ Award-winning 401(k) (6% matching plus 3.5% annually)
§ Learning opportunities and tuition assistance
§ Flexible schedules and time off (PTO and holidays)
§ Onsite gyms and wellness programs
§ Extensive relocation packages (outside a 50 mile radius)
**Additional Details**
**Directive 206.2** - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 ( . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
**New-Employment Drug Test:** The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
**Equal Opportunity:**
Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by applicable federal, state and local laws and regulations.
The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request a disability accommodation, email or call ( , opt. 3.

**Summary:**
Meta is seeking a Postdoctoral Researcher to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people by maximizing their personal utility and advertiser value. We are committed to making fundamental advances in Artificial Intelligence and Machine Learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep understanding of the users, ads, and any signals and contents related to their interactions. As a Postdoctoral Researcher, you will closely collaborate with Researchers and Engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale.
**Required Skills:**
Postdoctoral Researcher, Monetization (PhD) Responsibilities:
1. Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
2. Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques.
3. Produce and publish state-of-the-art research findings at relevant conferences to influence the progress of AI/Machine Learning.
4. Collaborate closely with cross-functional partners across varied disciplines and contribute towards Meta's research product development.
**Minimum Qualifications:**
Minimum Qualifications:
5. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
6. Currently has, or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, ML Systems, or related technical field or equivalent practical experience. Degree must be completed prior to joining Meta.
7. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
8. Experience with Deep Learning frameworks such as Pytorch or Tensorflow.
9. Experience with Python, C++, C, Java, or other related languages.
10. Experience with research and building systems based on Machine Learning and/or Deep Learning methods.
11. Experience in solving modeling problems using AI or Machine Learning methodologies.
**Preferred Qualifications:**
Preferred Qualifications:
12. Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar.
13. Research experience in reinforcement learning, causal learning, graph learning, graph neural networks, sequence modeling, next-generation and large-scale model architectures, ML systems and hardware-software co-design, data-related in general (e.g., semi/self/un-supervised learning, generative techniques, content understanding, LLM, etc.), or similar.
14. Extensive experience in designing and developing algorithms using popular Machine Learning frameworks (e.g PyTorch) in Python.
15. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
16. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training.
17. Experience working and communicating cross functionally in a team environment.
18. Experience in solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.
**Public Compensation:**
$117,000/year to $173,000/year + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta is seeking a Postdoctoral Researcher to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people by maximizing their personal utility and advertiser value. We are committed to making fundamental advances in Artificial Intelligence and Machine Learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep understanding of the users, ads, and any signals and contents related to their interactions. As a Postdoctoral Researcher, you will closely collaborate with Researchers and Engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale.
**Required Skills:**
Postdoctoral Researcher, Monetization (PhD) Responsibilities:
1. Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
2. Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques.
3. Produce and publish state-of-the-art research findings at relevant conferences to influence the progress of AI/Machine Learning.
4. Collaborate closely with cross-functional partners across varied disciplines and contribute towards Meta's research product development.
**Minimum Qualifications:**
Minimum Qualifications:
5. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
6. Currently has, or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, ML Systems, or related technical field or equivalent practical experience. Degree must be completed prior to joining Meta.
7. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
8. Experience with Deep Learning frameworks such as Pytorch or Tensorflow.
9. Experience with Python, C++, C, Java, or other related languages.
10. Experience with research and building systems based on Machine Learning and/or Deep Learning methods.
11. Experience in solving modeling problems using AI or Machine Learning methodologies.
**Preferred Qualifications:**
Preferred Qualifications:
12. Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar.
13. Research experience in reinforcement learning, causal learning, graph learning, graph neural networks, sequence modeling, next-generation and large-scale model architectures, ML systems and hardware-software co-design, data-related in general (e.g., semi/self/un-supervised learning, generative techniques, content understanding, LLM, etc.), or similar.
14. Extensive experience in designing and developing algorithms using popular Machine Learning frameworks (e.g PyTorch) in Python.
15. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
16. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training.
17. Experience working and communicating cross functionally in a team environment.
18. Experience in solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.
**Public Compensation:**
$117,000/year to $173,000/year + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at