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Phd Research Internship Jobs (NOW HIRING)

Centific

Technical Intern

$40/hr

Join Our PhD Research Internship Program! 🌟 Are you a PhD / MS student working in NLP, Computer Vision, LLMs, VLMs, Responsible AI and passionate about solving a real-world problem by pushing the ...

Modal, Inc

ML Research Intern

New York, NY · On-site

We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...

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How much do phd research internship jobs pay per month?

As of Aug 3, 2026, the average monthly pay for phd research internship in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

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

To thrive as a PhD Research Intern, you need strong analytical skills, advanced research methodology knowledge, and enrollment in or completion of a relevant PhD program. Familiarity with data analysis software (such as Python, R, or MATLAB), literature databases, and sometimes experience with laboratory or fieldwork tools is often required. Strong communication, problem-solving abilities, and adaptability help interns effectively collaborate and present findings. These skills ensure interns can contribute meaningful research, adapt to evolving project needs, and communicate results clearly within academic or industry settings.

What is a PhD research internship?

A PhD research internship is a temporary position offered to doctoral students, typically during their studies, allowing them to gain practical research experience in a professional or academic setting outside their university. These internships provide opportunities to work on real-world problems, collaborate with experienced researchers, and apply academic knowledge to industry or institutional projects. They are valuable for building professional networks, enhancing research skills, and gaining insights into potential career paths after completing a PhD.

What are some common challenges faced during a PhD research internship and how can they be addressed?

PhD research interns often encounter challenges such as adapting to a new research environment, managing expectations between their university and host organization, and learning new methodologies or tools quickly. Balancing ongoing doctoral work with internship responsibilities can also be demanding. To address these challenges, clear communication with both academic and internship supervisors, setting realistic goals, and proactively seeking feedback are essential. Building strong relationships within the host team can also help interns integrate smoothly and maximize the learning experience.
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Phd Research Internship jobs near you
Infographic showing various Phd Research Internship job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Hardware Machine Learning PhD Research Internship

IMC Trading

Chicago, IL

$225K/yr

Full-time, Internship

PTO

Posted 16 days ago

Job description

We are deploying machine learning directly onto custom hardware - and we want you to help drive it forward. This PhD internship is an opportunity to work on research that has direct impact on IMC's work tackling open problems at the frontier of low-latency ML inference and hardware acceleration.

You'll work alongside IMC engineers in one of the most demanding low-latency computing environments in the world. You'll own a focused research project from start to finish, present your findings to the team, and leave behind a prototype or benchmark that we can build on.

Your Core Responsibilities

  • Architect and develop an ML focused research project based on real-world use cases
  • Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
  • Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
  • Present your project to the team, deepening our collective understanding of an area of ML acceleration
  • Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our industry
  • Build skills to evaluate research not only from an academic perspective, but through real-world performance constraints, engineering costs, and industry impact

Your Skills and Experience

  • Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field
  • Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
  • Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
  • Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
  • Proficiency in Python or similar languages for tooling, testing, and simulation
  • Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Base Salary: $225,000

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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