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

Synaptrix Labs

Grant Writer (PhD)

New York, NY · On-site

PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field * Strong experience writing and/or supporting successful NIH, NSF, DoD, or equivalent federal grant ...

Accrete

Full-Stack Engineer (PhD Required)

New York, NY · On-site

$170K - $210K/yr

The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field and a strong background in designing and building AI-driven systems. This role ...

Accrete

Full-Stack Engineer (PhD Required)

New York, NY · On-site

The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field and a strong background in designing and building AI-driven systems. This role ...

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How much do phd computer science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for phd computer science in Hoboken, NJ is $90,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $102,300.00 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 Hoboken, NJ?

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Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Hoboken, NJ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $90,928 per year, or $43.7 per hour.

Grant Writer (PhD)

Synaptrix Labs

New York, NY • On-site

Full-time

Medical, PTO

Re-posted 12 days ago

Job description

About Synaptrix Labs Inc.

Synaptrix is building the future of non-invasive brain-computer interfaces.

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build systems that can restore communication, mobility, and autonomy, while laying the foundation for a new era of human-computer interaction.

We're looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions across NIH, NSF, DoD, BARDA, ARPA-H, and other non-dilutive funding programs. This person will work closely with leadership, research, and technical teams to help Synaptrix secure funding that accelerates both our science and product roadmap.

Responsibilities:
  • Lead drafting and submission of grants across NIH, NSF, DoD, ARPA-H, and related agencies
  • Translate Synaptrix's technical work into clear, compelling, fundable proposals
  • Manage the full grant lifecycle: opportunity identification, writing, submission, revisions, and reporting
  • Work closely with leadership, scientists, and engineers to shape specific aims, technical narratives, milestones, and budgets
  • Help structure research roadmaps around grantable workstreams and strategic funding opportunities
  • Support subcontractor / academic collaborator coordination when relevant
  • Maintain a pipeline of upcoming non-dilutive funding opportunities relevant to Synaptrix
Minimum Qualifications:
  • PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field
  • Strong experience writing and/or supporting successful NIH, NSF, DoD, or equivalent federal grant submissions
  • Excellent scientific and technical writing skills
  • Ability to understand and communicate complex interdisciplinary work across AI, neurotechnology, signal processing, and medical devices
  • Highly organized and able to independently manage multiple deadlines and submissions
  • Strong judgment, ownership, and attention to detail
Preferred Qualifications:
  • Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or translational biotech
  • Familiarity with SBIR/STTR, R01/R21, NSF translational grants, or defense-related funding mechanisms
  • Experience working directly with startup founders, principal investigators, or technical R&D teams
  • Comfort contributing to scientific strategy, framing research directions in ways that are both ambitious and fundable
  • Experience with grant reporting, progress updates, and compliance documentation
About our Culture:

We care a lot about talent density, speed, and intellectual honesty.

Synaptrix is a small, ambitious team working on a problem that actually matters. We value people who can think clearly, write sharply, move fast, and operate with high ownership. We are deeply mission-driven, highly technical, and serious about building something important.

What We Offer:
  • Competitive pay + equity
  • Health benefits
  • A chance to help shape the future of neurotechnology and non-invasive BCI
  • High ownership and direct exposure to company strategy, research, and fundraising
  • Growth potential for team members who have outsized impact
  • Paid holidays, unlimited PTO