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Postdoctoral Language Model Jobs (NOW HIRING)

NorthEastern

Postdoctoral Research Fellow

Charlotte, NC

$54K - $76K/yr

Northeastern University invites applications for a Postdoctoral Research Fellow position in natural ... Areas of interest include language model evaluation, robustness, safety assessment, benchmarking ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Postdoctoral Associate Apply now Back to search results Job no: 536282 Work type: Research Faculty ... AI for cybersecurity, including the use of machine learning and large language models for cyber ...

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$62K - $67K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering NYU Tandon ... Large language models * Power system visualization and software development Salary range In ...

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How much do postdoctoral language model jobs pay per year?

As of Jun 7, 2026, the average yearly pay for postdoctoral language model in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Language Models, and why are they important?

To thrive as a Postdoctoral Researcher specializing in Language Models, you need a Ph.D. in computer science, computational linguistics, or a related field, along with a strong background in machine learning and natural language processing. Expertise in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are typically required. Critical thinking, collaboration, and strong written and verbal communication skills help researchers effectively solve complex problems and disseminate findings. These skills and qualifications are crucial for developing innovative language model solutions and advancing research in the highly competitive field of AI.

What is a Postdoctoral Language Model?

A Postdoctoral Language Model refers to an artificial intelligence model, like GPT or BERT, that has been developed or fine-tuned by researchers who have completed their doctoral studies and are engaged in postdoctoral research. These models are typically used to process, generate, or understand human language and are often at the forefront of natural language processing research. Postdoctoral researchers may work on advancing the architecture, training methods, or applications of these models, contributing to the latest innovations in the field. Their work can involve publishing research, collaborating with academic or industry labs, and developing new language technologies.

What are some common challenges faced by a postdoctoral researcher working on language models, and how can they be addressed?

Postdoctoral researchers in language model development often encounter challenges such as balancing independent research with collaborative projects, managing large-scale datasets, and staying current with rapid advancements in natural language processing. Navigating the expectations of both academic supervisors and industry partners can also be demanding. To address these challenges, it's helpful to regularly engage with the research community, leverage collaboration tools, and seek mentorship or peer support within the team. Proactively setting clear research goals and timelines can further help manage workload effectively.
Infographic showing various Postdoctoral Language Model job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 6% Full Time, 89% Part Time, 3% Temporary, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Research Associate - Large Language Model/Foundational Model

Postdoctoral Research Associate - Large Language Model/Foundational Model

Brookhaven National Laboratory

Upton, NY • On-site

Full-time

Posted 17 days ago

Job description

Job Summary:
Brookhaven National Laboratory is seeking a Postdoctoral Research Associate to perform research using artificial intelligence and machine learning focused on large language models and foundational models relevant to electric power systems. The role involves developing and implementing AI and ML techniques for power system planning, operation, control, and cybersecurity.
Responsibilities:
• Develop and implement artificial intelligence (AI) and machine learning (ML) techniques for power system planning, operation, control, and cybersecurity, with a particular focus on grid applications of large language models (LLMs) and foundation models (FMs) to ensure the energy security and operational reliability of electric power systems.
Qualifications:
Required:
• Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, with a strong foundation in artificial intelligence and machine learning, particularly in LLMs and FMs
• Demonstrated ability to leverage LLM and/or FM in advanced technical areas
• Experience with/knowledge of modeling complex engineering systems
• Strong written and verbal communication skills, with the ability to take direction effectively and collaborate within interdisciplinary project teams
Preferred:
• Knowledge of/experience with modeling, simulation, dynamics, and control of complex systems such as power grids
• Knowledge of/experience in energy systems, including familiarity with commonly used tools, frameworks, cybersecurity, and best practices
Company:
Brookhaven National Laboratory is a multi-purpose research institution focused on questions in basic and applied science. Founded in 1947, the company is headquartered in Upton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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