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Phd Research Jobs (NOW HIRING)

JOB TITLE Research Assistant LOCATION Worcester DEPARTMENT NAME Mechanical & Materials Engineering - JM DIVISION NAME Worcester Polytechnic Institute - WPI SUMMARY Multiple PhD Research Assistant ...

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Phd Research information

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$80K

$99.8K

$135.5K

How much do phd research jobs pay per year?

As of Jul 14, 2026, the average yearly pay for phd research in the United States is $99,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What is the difference between Phd Research vs Research Scientist?

AspectPhd ResearchResearch Scientist
Required CredentialsPhD or equivalent in a relevant fieldMaster's or PhD, often with industry experience
Work EnvironmentAcademic labs, universities, research institutionsCorporate R&D labs, industry settings
Employer & Industry UsagePrimarily academia and research institutionsIndustry sectors like tech, pharmaceuticals, manufacturing
Common Search & ComparisonYesYes

While both roles involve research activities, Phd Research typically refers to academic or university-based research projects requiring a PhD. Research Scientists often work in industry settings, applying research to product development or innovation, and may hold a master's or PhD. The key difference lies in the work environment and application focus, with Phd Research being more academic-oriented and Research Scientists more industry-focused.

What are the key skills and qualifications needed to thrive as a PhD Researcher, and why are they important?

To thrive as a PhD Researcher, you need strong analytical skills, proficiency in research methodologies, and a relevant master's or bachelor's degree in your field. Familiarity with data analysis software (such as SPSS, R, or Python), academic databases, and sometimes specialized lab equipment or certifications is often required. Exceptional critical thinking, perseverance, and effective written and verbal communication help you stand out in this role. These skills are crucial for conducting rigorous research, publishing impactful findings, and collaborating within academic and professional communities.

What is a PhD researcher?

A PhD researcher is a student or scholar who is undertaking advanced, original research in a specific academic field as part of their Doctor of Philosophy (PhD) program. They work closely with academic supervisors to design and conduct research projects, analyze data, and contribute new knowledge to their discipline. PhD researchers are typically responsible for publishing their findings and defending their work in a thesis or dissertation. Their research can be conducted in universities, research institutes, or sometimes in collaboration with industry partners. The goal of a PhD researcher is to demonstrate expertise and make a significant, original contribution to their field.

What are some typical challenges PhD researchers face when collaborating with interdisciplinary teams?

PhD researchers often work with teams from diverse academic backgrounds, which can present challenges such as differing terminologies, research methodologies, and expectations regarding project outcomes. Navigating these differences requires strong communication skills and adaptability, as well as a willingness to learn about other disciplines. Overcoming these challenges can enrich your research, broaden your perspective, and foster valuable professional relationships that often lead to innovative solutions.
More about Phd Research jobs
What cities are hiring for Phd Research jobs? Cities with the most Phd Research job openings:
What are the most commonly searched types of Phd Research jobs? The most popular types of Phd Research jobs are:
What states have the most Phd Research jobs? States with the most job openings for Phd Research jobs include:
Infographic showing various Phd Research job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,840 per year, or $48 per hour.
Senior Research Scientist, AI Accelerator Design and VLSI

Senior Research Scientist, AI Accelerator Design and VLSI

Nvidia

Santa Clara, CA

$115K - $147K/yr

Full-time

Re-posted 3 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

We are now looking for a Senior Research Scientist!

NVIDIA is seeking aSenior Research Scientistto drive groundbreaking research at the intersection ofAI HW/SW Co-Design, AI Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design. Ideal candidates will have a broad perspective across areas including machine learning fundamentals, quantization and numerical methods for machine learning model optimization, digital VLSI circuits for computer arithmetic, high-productivity VLSI design and verification methodologies including applications of generative AI to hardware design, AI hardware micro-architecture, and VLSI methodology and implementation.

What you'll be doing:

  • AI Accelerator Hardware: Contribute to novel research advancing the state-of-the-art in AI accelerator design.

  • VLSI: Research creative and innovative ASIC and VLSI design techniques and/or novel digital VLSI circuits. Apply machine learning, generative AI, and state-of-the-art tools and methodologies to automated ASIC and VLSI design tool flows.

  • AI HW/SW Co-Design: Research and develop creative and innovative numerical methods for quantization, sparsity, or tensor decomposition grounded in computer arithmetic fundamentals and digital VLSI circuits.

  • Collaborate on the development of research prototype testchips.

  • Collaborate with AI researchers and hardware team members in research and product teams.

  • Publish and present your original research, speak at conferences and events

What we need to see:

  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with3+ years of post-PhD research experienceand a strong record of impactful publications in top circuit, architecture, EDA, or AI/ML venues; with a proven ability to set research direction and translate ideas into tools or products.

  • Domain & Technical Expertise: Deep knowledge and 3+ years of post-PhD research experience in either VLSI (e.g., digital VLSI circuits and chip design methodologies), computer architecture, and/or numerical algorithms for AI model HW/SW co-design.

  • VLSI Implementation Skills: 5+ years of experience in hardware design with proficiency with modern EDA tool flows.

  • Programming & Systems Skills:5+ years of experiencein software tool development with proficiency in at least two of Python/PyTorch, C++, SystemVerilog, or CUDA.

  • Leadership & Collaboration:experience in leading research projects or teams, with a track record of mentoring junior scientists or interns, driving cross-functional initiatives with circuits/VLSI/architecture groups, and fostering collaborations with academia or industry.

  • Communication & Impact: Excellent written and verbal communication skills, with demonstrated experience presenting at top conferences; ability to influence both technical and non-technical audiences.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993