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Phd Computer Science Jobs in Wisconsin (NOW HIRING)

DataCamp

Curriculum Manager - Cloud

Belgium, WI

Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field-or equivalent industry experience. * Strong experience with agentic coding ...

DataCamp

Curriculum Manager - Cloud

Belgium, WI

Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field-or equivalent industry experience. * Strong experience with agentic coding ...

DataCamp

Curriculum Manager - Cloud

Belgium, WI

Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field-or equivalent industry experience. * Strong experience with agentic coding ...

DataCamp

Curriculum Manager - Cloud

Belgium, WI

Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field-or equivalent industry experience. * Strong experience with agentic coding ...

Merck Group

Production Scientist

Sheboygan Falls, WI · On-site

$77K - $122K/yr

... Science discipline and 1+ years of work experience. OR * PhD. in Biology, Chemistry, Chemical ... Strong computer skills, mechanical skills and troubleshooting skills. * Strong interpersonal and ...

Serve Robotics

$225K - $260K/yr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

INNIO

Senior Control Systems Engineer

Waukesha, WI

$167K - $173K/yr

Advanced technical education in electrical-/mechanical-engineering or computer sciences (Masters or PhD) - focus on control systems. * Experience with embedded controls hardware. * Experience and ...

Innio

Senior Control Systems Engineer

Waukesha, WI · On-site

$167K - $173K/yr

Advanced technical education in electrical-/mechanical-engineering or computer sciences (Masters or PhD) - focus on control systems. * Experience with embedded controls hardware. * Experience and ...

Indeed

Senior Machine Learning Engineer

Milwaukee, WI

$103K - $141K/yr

Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 5 years of related experience; or a Master's degree with a minimum of 3 years of experience; or a PhD ...

New

INNIO

Senior Control Systems Engineer

Waukesha, WI · On-site

$167K - $173K/yr

Advanced technical education in electrical-/mechanical-engineering or computer sciences (Masters or PhD) - focus on control systems. * Experience with embedded controls hardware. * Experience and ...

INNIO

Senior Control Systems Engineer

Waukesha, WI · On-site

$167K - $173K/yr

Advanced technical education in electrical-/mechanical-engineering or computer sciences (Masters or PhD) - focus on control systems. * Experience with embedded controls hardware. * Experience and ...

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Phd Computer Science information

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How much do phd computer science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for phd computer science in Wisconsin is $83,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $94,400.00 per year, depending on experience, location, and employer.

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.

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.

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.
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Phd Computer Science jobs near you

Machine Learning Engineer II

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Job description

Job Description:
Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Your role on our team
As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions that change the lives of our users. You will innovate and explore new machine learning solutions to deploy into Milwaukee products around the world while demonstrating excellent problem-solving skills, critical thinking, and the ability to thrive under pressure in a dynamic environment. Success in this role also requires strong technical communication skills and fundamental project management abilities, along with a proactive sense of ownership for projects and tasks and an understanding of how they connect to broader initiatives.
What TOOLS you'll bring with you:
  • Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
  • Completed course work or specialization in Machine Learning and/or Data Science
  • At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
  • Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
  • Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
  • Proficient developing and debugging code in Python
  • Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
  • Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
  • Sold mathematical foundation in statistics, linear algebra, calculus and optimization
  • Experience working with modern software development tools and version control tools
  • Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
  • Excellent technical communication skills and fundamental project management abilities
  • Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
  • Ability to travel up to 10% of the time (domestic and international).

Other TOOLS we prefer you to have:
  • Master's degree or PhD in Machine Learning or related field is preferred
  • At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
  • Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
  • Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
  • Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
  • Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
  • Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
  • Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
  • Experience developing and deploying machine learning algorithms to edge environments
  • Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.

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