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Phd Computer Science Jobs in Irwin, PA (NOW HIRING)

Cadence

Senior Software Engineer

Pittsburgh, PA · On-site

$118.90K - $156.80K/yr

Required : • BS/MS/Phd in Computer Science, Applied Mathematics, Data Science, or a related field. • 10+ years of experience. • Strong foundation in machine learning, deep learning, and natural ...

Govini

Data Scientist

Pittsburgh, PA · On-site

Citizenship is required • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master's or PhD preferred • Minimum 3 years of hands-on data ...

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How much do phd computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for phd computer science in Irwin, PA is $71,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $80,100.00 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 job categories do people searching Phd Computer Science jobs in Irwin, PA look for? The top searched job categories for Phd Computer Science jobs in Irwin, PA are:
What cities near Irwin, PA are hiring for Phd Computer Science jobs? Cities near Irwin, PA with the most Phd Computer Science job openings:
Phd Computer Science jobs near you

Post Doctoral Fellow (vc-llm)

Carnegie Mellon University

Pittsburgh, PA • On-site

$47.60K - $64.60K/yr

Full-time

Posted 26 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

49th of 528 rated colleges and universities

Job description

Description
The Computer Science Department of Carnegie Mellon University has an exciting opportunity for a technical postdoc for work on making large language models (and similar systems) safe and reliable, especially in contexts where they are used as agents and have access to tools. Some directions that are particularly of interest:
  • Multiagent approaches, for example by having one agent monitor another, and agents working in concert
  • Multiobjective optimization approaches to enable safety by design
  • Evaluation, for example evaluating the performance of an agent over time, evaluating it in complex multi stakeholder environments, etc.

The position is for one year; we plan to be able to support a second year conditional on satisfactory performance.
Specifically of interest are:
  • Prior experience working with LLMs
  • Prior experience conducting rigorous experiments
  • An interest in decision making contexts and applications.

Also valued (but not required) are:
  • Background or in related topics such as optimization, multiagent systems, game theory, human subjects experiments, ...
  • Background or interest in interdisciplinary collaborations crossing into for example policy, operations research, economics, philosophy, ...

Qualifications
Candidates are expected to have or be about to receive a PhD in computer science or a related discipline, and prior experience with the type of work of the position.
Equal Employment Opportunity Statement
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

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