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Postdoctoral Language Model Jobs (NOW HIRING)

GO-Energy Geosciences

Postdoctoral Scholar

Bodega Bay, CA · On-site

$69K - $107K/yr

Data analysis, scientific model development, and machine control in Python, C++, or other common ... Drug Testing Language: This position is designated as a Testing-Designated Position under the U.S.

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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, Electrical and Computer Engineering

Postdoctoral Research Associate, Electrical and Computer Engineering

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 21 days ago

University Of Arizona rating

7.0

Company rating: 7.0 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

368th of 534 rated colleges and universities

Job description

Postdoctoral Research Associate, Electrical and Computer Engineering
Posting Number
req24051
Department
Electrical and Computer Engr
Department Website Link
https://ece.engineering.arizona.edu/
Location
Tucson Campus
Address
1230 E. Speedway Blvd., Tucson, AZ 85721 USA
Position Highlights
The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate to work with Dr. Ehsan Azimi.
We invite qualified candidates to join our group and participate in cutting-edge research. The chosen candidate will advance research at the intersection of robotics, control & prototyping, and AI/ML. The Postdoc will design, implement, and evaluate robotic systems - including real-time control stacks - and develop learning-enabled perception, planning, and vision-language model (VLM) pipelines. The role includes disseminating results via publications, patents, demos, and grants, in addition to mentoring students and contributing to course modules/workshops in robotics and related topics.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Lead, design, build and test cycles for robotic platforms and experimental rigs; develop real-time control (e.g., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking.
  • Architect high-quality research codebases in C++/Python/C# (e.g., ROS/ROS 2, RT frameworks, Unity/Unreal integration as needed); implement data pipelines, simulation, and CI/testing; maintain reproductible artifacts and documentation.
  • Mentor undergraduate and graduate students; develop short course modules and/or run workshops in Robotics/AI/Control; support inclusive team culture and lab best practices.
  • Lead and co-author journal/conferencepapers; prepare manuscripts for publication in peer-reviewed journals; createcompelling presentations/demos and contribute to IP (invention disclosures andpatents); present research at national and international conferences.
  • Contribute to proposaldevelopment and grant writing (including preliminary data, methods, budgetstext); prepare progress reports, and coordination with internal/externalcollaborators; interface with sponsors where applicable.
  • Foster collaborationswithin the Department, with other units across the University, and with teammembers at other institutes.
  • Participate andcontribute to meetings with industry, academia and sponsors.
  • Additional duties as assigned.

Knowledge, Skills, and Abilities
  • Strong analysisskills, research, and technical writing skills.
  • Ability to communicateprofessionally in a clear, concise manner orally and in writing.
  • Knowledge of prototyping, specifically control (PID, MPC, optimal/robust, learning-augmented); perception &planning; sensor fusion; calibration; system identification.
  • Programming skills, including C++,Python, C#; ROS/ROS 2; Git; Linux; build systems (CMake);real-time/latency-aware coding; simulation (Gazebo/Isaac/Unity/Unreal asapplicable).
  • Knowledge of experimental design, statistics, ablation studies, replicable pipelines,technical writing.
  • Ability to create clear presentations and use strong interpersonal skills with a collaborativemindset; effective mentoring.

Minimum Qualifications
  • PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field.
  • Must have PhD conferred upon hire.

Preferred Qualifications
  • Hands-on experience integrating hardware + software for robots (arms, mobile, mechatronics) and real-time control.
  • Experience in computer vision, multimodal perception, or foundation models (VLMs/LLMs) applied to robotics.
  • Track record of patent contributions and/or technology transfer.
  • Experience preparing grants (NSF/NIH/DoD/industry) and coordinating collaborative deliverables.
  • Prior experience mentoring/teaching, curriculum or workshop development.
  • Experience with safety standards for robotics labs and human-robot interaction studies.
  • Experience with CUDA/accelerators; optimization; SLAM; tactile/force control; AR/XR interfaces; Unity/C# for robotics visualization; DevOps/containers.
  • Experience with AI/ML: Deep learning for vision/perception; VLMs and LLM tooling; dataset curation; evaluation/benchmarks; basic MLOps.

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.00
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines-Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Ehsan Azimi
eazimi@arizona.edu
Open Date
10/6/2025
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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