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Phd Computer Science Jobs in Latham, NY (NOW HIRING)

Kitware

Computer Vision Researcher

Clifton Park, NY

$125K - $170K/yr

PhD in Computer Science or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track record for solving difficult ...

Kitware

Computer Vision Researcher

Clifton Park, NY

$125K - $170K/yr

PhD in Computer Science or related field * Strong publication record in top-tier research publications and conferences * Highly innovative and demonstrated track record for solving difficult ...

Kitware

3D Computer Vision Researcher

Clifton Park, NY

$125K - $170K/yr

PhD in Computer Science or related field * Experience using multiview geometry to develop algorithms for building 3D point clouds or meshes from imagery or video * Experience with AL/ML methods for ...

Kitware

3D Computer Vision Researcher

Clifton Park, NY

$125K - $170K/yr

PhD in Computer Science or related field * Experience using multiview geometry to develop algorithms for building 3D point clouds or meshes from imagery or video * Experience with AL/ML methods for ...

Kayla's HR Co

Assistant Manager

Schenectady, NY · Remote

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; Master's or PhD preferred * 3+ years of hands-on experience applying machine learning techniques to solve real-world ...

Kitware

Technical Leader of AI

Clifton Park, NY

$140K - $215K/yr

PhD in Computer Science or related field with a minimum of 6 years relevant experience and/or a Master's degree with 8 years experience. * U.S. citizenship (due to contractual requirements). * Active ...

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Phd Computer Science information

See Latham, NY salary details

$54.6K

$80.3K

$94.7K

How much do phd computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for phd computer science in Latham, NY is $80,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $90,400.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

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?

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 jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What are popular job titles related to Phd Computer Science jobs in Latham, NY? For Phd Computer Science jobs in Latham, NY, the most frequently searched job titles are:
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Phd Computer Science jobs near you

Quantitative Researcher (Full-Time - PhD+)

Radix Trading University Job Board

Amsterdam, NY • On-site

Full-time

Re-posted 7 days ago

Job description

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. 
By working on a variety of projects with different collaborators over the start of your career, you'll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you'll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.  
While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia - not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines. 
COMPENSATION - Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
Qualifications
We're looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you'll need the following qualities:

  • Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University
  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
  • Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
  • Mental Flexibility & Self Awareness - You'll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

  • Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start
  • Demonstrates strong "hacking" ability to quickly get into data to look for empirical relationships and decipher noise or signal
  • Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problem
    • Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
  • Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
  • Experience in setup of research framework and execution of projects
  • Understanding of financial products, market dynamics, and microstructure
  • Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language 

Apply