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Phd Computer Science Jobs in Newark, NJ (NOW HIRING)

Omnicom

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

PHd Job Function: Data and Analytics Job Subfunction: Data Science and AI PHD is a global ... mathematics, computer science, statistics or related field, and 5-7 years of experience in ...

Omnicom

Associate Director, Data Science

New York, NY · Hybrid

$64K - $65K/yr

PHd Job Function: Data and Analytics Job Subfunction: Data Science and AI PHD is a global ... mathematics, computer science, statistics or related field, and 5-7 years of experience in ...

MM International

Data Scientist

New York, NY · Remote

PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. * Relevant clinical development experience (programming, RBM/RBQM, Data Management ...

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Phd Computer Science information

See Newark, NJ salary details

$59K

$86.8K

$102.4K

How much do phd computer science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for phd computer science in Newark, NJ is $86,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $97,700.00 per year, depending on experience, location, and employer.

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?

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.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What are popular job titles related to Phd Computer Science jobs in Newark, NJ?

For Phd Computer Science jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in Newark, NJ look for?

The top searched job categories for Phd Computer Science jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Phd Computer Science jobs?

Cities near Newark, NJ with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Newark, NJ as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $86,803 per year, or $41.7 per hour.

Quantitative Researcher, PhD

Aquatic Capital Management

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 11 days ago

Job description

As a Quantitative Researcher, you will work with a team to develop a variety of signals, models, and strategies for trading financial markets. As part of the role, you will be responsible for the design and implementation of various components of our research system, and you will evaluate their effectiveness by using rigorous statistical methods. As part of a small team with exposure to multiple areas of research, you will have the opportunity to rapidly grow your knowledge of quantitative finance.

Candidate requirements:

  • Active PhD graduates or Postdocs pursuing a degree in mathematics, statistics, machine learning, physics, computer science, or other scientific discipline 
  • Exceptional mathematical, analytical, and problem-solving ability
  • Programming proficiency in Python or C++
  • Experience in solving data-intensive problems a plus
  • Demonstrated ability to complete statistical or applied mathematical research a plus
  • Successful participation in mathematical competitions a plus e.g., IMO, Putnam
  • Prior experience in a quantitative role within a trading environment a plus

Desired qualities: 

  • Intellectually curious, creative, and rigorous
  • Willingness to challenge assumptions and revise opinions in the face of compelling evidence
  • Self-motivated and highly productive, with a strong sense of urgency and accountability
  • Willing to take ownership of one's work, working both independently and within a small team
  • Meticulous attention to detail
  • Ability to manage and prioritize multiple threads of work
  • Able to work across disciplines
  • Excellent communication and collaboration skills
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
The base salary for this role is anticipated to be between $150,000 and $200,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.

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