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Full Time Research Scholar Jobs (NOW HIRING)

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

D. or equivalent; be able to undertake substantial full-time research and scholarship; working under the supervision of a senior scholar. * Knowledge of commercial FEA package Abaqus and the ...

NorthEastern

Postdoctoral Research Fellow

Boston, MA · On-site

$60K - $85K/yr

Must be able to undertake full-time research and scholarship. Must be able to work in collaborative multi-institutional teams with senior and junior scholars. Strong foundations in information theory ...

NorthEastern

Postdoctoral Research Associate

Boston, MA

$60K - $85K/yr

Ability to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar. Position Type Research Additional Information Northeastern University considers ...

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Full Time Research Scholar information

What is a full time research scholar?

Full Time Research Scholars are individuals who dedicate themselves to academic or scientific research on a full-time basis, usually within a university or research institute. They are often enrolled in doctoral (PhD) or postdoctoral programs and work under the guidance of a faculty supervisor. Their primary responsibilities include conducting original research, publishing findings in scholarly journals, and sometimes assisting with teaching or laboratory management. Full Time Research Scholars contribute significantly to advancing knowledge in their chosen field of study.

What are the key skills and qualifications needed to thrive as a full time research scholar?

To thrive as a Full Time Research Scholar, you need advanced knowledge in your research field, strong analytical abilities, and a relevant postgraduate degree such as a Master's or PhD. Proficiency with data analysis tools (e.g., SPSS, R, or MATLAB), academic databases, and research methodologies is typically required. Critical thinking, perseverance, and effective written and verbal communication skills help scholars collaborate, publish findings, and present research clearly. These skills are vital for producing high-quality research, contributing to academic knowledge, and advancing your career in academia or research-focused roles.

What are some common challenges full time research scholars face when managing multiple research projects simultaneously?

Full Time Research Scholars often juggle several research projects, which can present challenges in time management, prioritization, and maintaining consistent progress across each task. Balancing deadlines for grant proposals, experiments, and publications requires strong organizational skills and proactive communication with supervisors and collaborators. It's helpful to use project management tools and regularly scheduled meetings to stay aligned with team members and ensure that all projects move forward smoothly. Developing efficient workflows can also help scholars handle the inherent unpredictability of research, such as unexpected results or equipment issues.

What is the difference between Full Time Research Scholar vs Part Time Research Associate?

AspectFull Time Research ScholarPart Time Research Associate
CredentialsMaster's or Ph.D. in relevant fieldMaster's degree or equivalent
Work EnvironmentResearch institutions, universitiesPart-time, often in labs or offices
Employer & IndustryAcademic and research organizationsResearch projects, industry collaborations
Work HoursFull-time, typically 35-40 hours/weekPart-time, variable hours

Full Time Research Scholars are primarily engaged in full-time research activities within academic or research institutions, focusing on in-depth study and project work. In contrast, Part Time Research Associates work on research projects on a part-time basis, often balancing other commitments. Both roles require relevant academic credentials and are common in research-driven industries, but they differ mainly in work hours and commitment level.

What cities are hiring for Full Time Research Scholar jobs?

Cities with the most Full Time Research Scholar job openings:

What are the most commonly searched types of Research Scholar jobs?

The most popular types of Research Scholar jobs are:

Full Time Research Scholar jobs near you
Infographic showing various Full Time Research Scholar job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Visiting Scholar - Post Training & Research (Discovery AI Lab)

Meta

Menlo Park, CA • On-site

$219K - $301K/yr

Full-time

Posted 23 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Discovery AI Lab is pioneering large language model (LLM) technologies across the full ML lifecycle - pre-training, mid-training, and post-training - to replace traditional recommendation pipelines with generative AI. Our work spans preference alignment and reinforcement learning for recommendation systems, self-improving agentic AI, and efficient training and inference at scale. We publish at top venues (NeurIPS, ICML, ICLR, RecSys) while shipping research directly into products that serve billions of users. We are seeking a Visiting Scholar to join the team for a 12-month, full-time research engagement. This role offers the opportunity to lead cutting-edge research embedded within a world-class team, with access to Meta-scale infrastructure, data, and compute.
Responsibilities
Lead research on post-training algorithms for generative recommendation systems, including preference alignment methods (e.g., DPO, GRPO, SimPO) adapted for multi-objective recommendation signals.
• Design and develop self-improving agent frameworks that leverage multi-agent collaboration, LLM self-correction, and continuous-learning loops.
• Advance efficient inference techniques - including quantization, compression, and distillation - for large-scale generative and Mixture-of-Experts recommendation models.
• Collaborate with research scientists and engineers to translate research into production-ready systems at Meta scale.
• Mentor research scientists and engineers on the team, upleveling internal capabilities in post-training and agentic AI.
Minimum Qualifications
• PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field
• Active faculty appointment or equivalent research position at a university or research institution
• Demonstrated publication record at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, RecSys)
• Expertise in one or more of: post-training methods (RLHF, preference optimization, reward modeling), large language models, or agentic AI systems
• Experience conducting research in collaborative, team-based environments
• Available for a full-time, 12-month on-site or hybrid engagement
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
• Tenured or tenure-track faculty position
• Research focus at the intersection of LLMs and recommendation systems
• Experience with reinforcement learning for language models or multi-agent systems
• Published work on model compression, quantization, or efficient inference for large-scale models
• Prior industry research experience (internship or collaboration) with production ML systems
• Track record of mentoring graduate students or junior researchers
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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