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Robotics Phd Positions Jobs in Minnesota (NOW HIRING)

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Robotics Phd Positions information

What is a robotics PhD position?

Robotics PhD positions are research-focused academic roles for students pursuing a doctoral degree in robotics. These positions typically involve conducting original research in areas such as artificial intelligence, mechanical engineering, computer vision, or control systems related to robotics. Students often work under the supervision of a faculty advisor, contribute to academic publications, and may also assist in teaching or mentoring. Admission to these positions usually requires a strong academic background in engineering, computer science, or related fields, as well as a demonstrated interest in robotics research.

What are the common research areas and collaboration opportunities for students in robotics PhD positions?

Robotics PhD students typically focus on advanced topics such as machine learning for robotics, human-robot interaction, autonomous systems, and robotic perception. These positions often involve interdisciplinary collaboration, working closely with faculty, industry partners, and peers from fields such as computer science, electrical engineering, and mechanical engineering. Students regularly participate in lab meetings, joint research projects, and may have opportunities to contribute to conference publications or internships. This collaborative environment not only enhances learning but also opens pathways for future academic and industry careers in robotics.

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

To thrive as a Robotics PhD candidate, you need a strong background in robotics, computer science, engineering, mathematics, and a relevant undergraduate or master's degree. Familiarity with programming languages (like Python, C++), robotics simulation tools (such as ROS, Gazebo), and experience with research methodologies are typically important. Critical thinking, creativity, and effective communication are essential soft skills for contributing novel ideas and collaborating within research teams. These skills and qualifications are crucial for successfully conducting advanced research, publishing results, and advancing the field of robotics.

What is the difference between Robotics Phd Positions vs Robotics Engineer?

AspectRobotics Phd PositionsRobotics Engineer
Required CredentialsPhD in Robotics, Engineering, or related fieldBachelor's or Master's in Robotics, Mechanical, Electrical, or Computer Engineering
Work EnvironmentResearch labs, universities, academic settingsIndustry, manufacturing, technology companies, startups
Employer & Industry UsageAcademic institutions, research organizationsPrivate companies, tech firms, industrial sectors
Common Search & Comparison IntentAcademic research, advanced study, research positionsPractical application, product development, engineering roles

Robotics Phd Positions focus on advanced research, theoretical development, and academic pursuits, often requiring a doctoral degree. Robotics Engineers typically work on designing, developing, and implementing robotic systems in industry, often with a bachelor's or master's degree. Both roles involve robotics but differ in their focus, environment, and qualifications.

Is a robotics PhD position worth it?

A robotics PhD position provides advanced training in areas such as machine learning, control systems, and sensor integration, which can lead to research roles, academia, or specialized industry positions. It typically requires several years of study and research commitment but can enhance career prospects and earning potential in robotics and related fields.

What are popular job titles related to Robotics Phd Positions jobs in Minnesota?

For Robotics Phd Positions jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Robotics Phd Positions jobs in Minnesota look for?

The top searched job categories for Robotics Phd Positions jobs in Minnesota are:

What cities in Minnesota are hiring for Robotics Phd Positions jobs?

Cities in Minnesota with the most Robotics Phd Positions job openings:

Robotics Phd Positions jobs near you
Infographic showing various Robotics Phd Positions job openings in Minnesota as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Robotics - Data Science Intern / Co-op - 2026

SupportFinity™

Virginia, MN • On-site

$80 - $120/hr

Other

Medical, Retirement

Posted 4 days ago

Job description

Robotics - Data Science Intern / Co-op - 2026

Are you passionate about data science? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

We're looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026. Our robotics teams are looking for students with a specialization in robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more.

By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various robotics teams at Amazon with different research focus. Internship positions are available for multiple locations, durations (3 to 6+ months), and year‑round start dates.

Responsibilities
  • Design and implement state‑of‑the‑art solutions for never‑before‑solved problems.
  • Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the customer experience.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight customers.
  • Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
  • Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
Team

Learn more about Amazon Robotics and our initiatives at Amazon Robotics and Amazon Million Robots AI Foundation Model.

Basic Qualifications
  • 18 years of age or older.
  • Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, or a related quantitative field.
  • Eligible for and available for a full‑time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co‑op.
  • At least one year of relevant academic research or industry experience within relevant science disciplines such as machine learning, applied statistics, computer vision, optimization, or related fields.
  • At least one year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication.
  • At least one year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB).
Preferred Qualifications
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Excellent communication skills with the ability to explain complex technical concepts to a non‑technical audience, while also efficiently interacting with deeply technical peers.
  • Understanding of data engineering and business intelligence.
  • Quantitative and qualitative data analysis experience with demonstrated impact on a business, a track record of creative problem‑solving, and the desire to create and build new processes.
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience with natural language processing (NLP) and working with large language models.
  • Experience with causal inference modeling.
  • Experience with A/B testing and data wrangling.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

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