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Phd Computer Science Jobs in Minnesota (NOW HIRING)

MN · On-site

$50 - $56/hr

PREFERRED QUALIFICATIONS Advanced degree (Master's or PhD) in Computer Science, Data Science, Physics or Engineering. Experience in first-in-human and pivotal clinical trials. Experience and/or ...

Computational Imaging Researcher

Minneapolis, MN

$116.40K - $137.30K/yr

PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track ...

PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track ...

PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track ...

Software Test Engineer

Plymouth, MN · On-site

$50 - $56/hr

Advanced degree (Master's or PhD) in Computer Science, Data Science, Physics or Engineering. * Experience in first-in-human and pivotal clinical trials. * Experience and/or familiarity with cardiac ...

Data Scientist Specialist

Maplewood, MN · On-site

$164.61K - $201.19K/yr

... applied math, computer science, data science, physics, or engineering) * Five (5) year(s) of ... Master's or PhD degree in a quantitative or engineering discipline from an accredited institution ...

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Phd Computer Science information

See Minnesota salary details

$55.3K

$81.4K

$96K

How much do phd computer science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for phd computer science in Minnesota is $81,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $91,600.00 per year, depending on experience, location, and employer.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

Is IT worth doing a PhD in CS?

A PhD in Computer Science can be valuable for careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study, research, and publication, and can lead to higher-level positions but may not be necessary for most industry jobs that value practical skills and experience. Consider your career goals and whether the research focus aligns with your interests before pursuing a PhD.
What cities in Minnesota are hiring for Phd Computer Science jobs? Cities in Minnesota with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Minnesota as of May 2026, with employment types broken down into 4% Internship, 75% Full Time, 15% Part Time, and 6% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $81,398 per year, or $39.1 per hour.
Applied Scientist, Search & Information Retrieval

Applied Scientist, Search & Information Retrieval

THOMSON REUTERS

Eagan, MN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

19th of 425 rated business services


Job description

Applied Scientist, Search & Information Retrieval

About the Role

This is an applied science position focused on building and deploying production-grade search systems that power Westlaw, PracticalLaw, and CoCounsel. You will work across neural information retrieval, semantic and hybrid search, re-ranking, and query understanding - delivering search quality and relevance at scale for legal and professional content.

About You

You hold a PhD or Master's in Computer Science, AI, NLP, or a related field, with 3+ years of post-degree industry experience shipping search or retrieval systems into production. You have hands-on depth in neural IR and deep learning for NLP, you work independently, and you measure success by what performs in production.

What You'll Do

  • Design, build, and deploy end-to-end neural search systems including dense retrieval, hybrid search, semantic chunking, embedding models, cross-encoders, SLM re-rankers, and transformer-based approaches

  • Develop models for query understanding, document re-ranking, and retrieval quality optimisation

  • Build evaluation frameworks - component-level and end-to-end - using expert annotation and synthetic data generation

  • Drive independent technical decisions on retrieval architecture, indexing strategy, ranking models, and evaluation methodology

  • Partner with engineering on delivery, reliability, and scale across multiple product lines

  • Contribute to published research at venues such as SIGIR, ECIR, NeurIPS, ACL, EMNLP, and ICLR, and to intellectual property

Required Qualifications

  • PhD or Master's in Computer Science, AI, NLP, or a related field

  • 3+ years of post-degree industry experience shipping search, retrieval, or RAG systems into production - not research-only experience

  • Publications at SIGIR, ECIR, NeurIPS, ACL, EMNLP, ICLR, or equivalent

  • Production Python and experience with PyTorch, DeepSpeed, Torchtune, or LlamaFactory

Hands-on production depth required in:

  • Neural IR fundamentals: BM25, hybrid search, dense retrieval (DPR, ColBERT), bi-encoders, cross-encoders, late interaction models

  • Search and RAG system design: vector databases, retrieval strategies, document chunking, metadata filtering, re-ranking, context optimisation, and orchestration

  • Evaluation framework design for retrieval quality at component and system level

  • Post-training of large language models and their application to retrieval systems

  • Deep learning and NLP fundamentals

Preferred Qualifications

  • Search, QA, or RAG over large corpora and long documents, including legal or enterprise search

  • Multi-stage or agentic retrieval architectures and query understanding for complex information needs

  • Legal domain applications: case law retrieval, precedent finding, document review

  • AzureML or AWS SageMaker

#LI-LP2

What's in it For You?

  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

  • Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $136,000 USD - $253,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD. Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department atHR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com


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