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Phd Signal Processing Jobs in New York (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

Develop video processing pipelines that integrate with both classical signal processing and ML ... Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY

$117K - $138K/yr

Develop video processing pipelines that integrate with both classical signal processing and ML ... Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

Develop video processing pipelines that integrate with both classical signal processing and ML ... Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures ...

Peraton

Senior Electrical Engineer

Woodbridge, NJ · On-site

$135K - $216K/yr

Developing embedded computing and digital signal processing designs and applications. * Providing ... PhD with 7 or more years of experience. (Experience must be with relevant work in a professional ...

Peraton

Senior Electrical Engineer

Woodbridge, NJ · On-site

$135K - $216K/yr

Developing embedded computing and digital signal processing designs and applications. * Providing ... PhD with 7 or more years of experience. (Experience must be with relevant work in a professional ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

Candidates will be responsible for working with lab's PhD students or postdoc on mechatronics ... signal processing, machine learning, and capability in applying various mathematical algorithms for ...

Child Mind Institute

Research Scientist

Manhattan, NY · On-site

$110K - $130K/yr

PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or ... Must be broadly considered a strong and qualified researcher in signal processing, image analysis ...

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Phd Signal Processing information

What is a PhD signal processing professional?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level signal processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

What are popular job titles related to Phd Signal Processing jobs in New York?

For Phd Signal Processing jobs in New York, the most frequently searched job titles are:

What job categories do people searching Phd Signal Processing jobs in New York look for?

The top searched job categories for Phd Signal Processing jobs in New York are:

What cities in New York are hiring for Phd Signal Processing jobs?

Cities in New York with the most Phd Signal Processing job openings:

Phd Signal Processing jobs near you
Infographic showing various Phd Signal Processing job openings in New York as of August 2026, with employment types broken down into 5% Internship, and 95% Full Time. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution.

Quantitative Researcher - PhD (USA)

Trexquant Investment

Manhattan, NY • On-site

$150 - $200/hr

Other

Medical, Dental, Vision

Re-posted 4 days ago

Job description

Turn Research Into Real-World Impact.

At Trexquant, we believe exceptional research belongs in the real world.

We're a systematic hedge fund that applies cutting‑edge machine learning, statistics, and large‑scale data analysis to global financial markets. Every day, our researchers tackle complex, open‑ended problems using massive datasets, novel algorithms, and scientific experimentation – with the opportunity to see their ideas deployed in live markets.

Whether your background is in computer science, physics, mathematics, engineering, economics, statistics, or another STEM discipline, you'll find an environment where intellectual curiosity, rigorous research, and innovation are at the center of everything we do.

No prior finance experience is required – we’re looking for exceptional researchers and problem solvers.

Responsibilities

As a Quantitative Researcher, you’ll help develop the next generation of machine learning models that identify predictive patterns in global financial markets.

Your work may include:

  • Designing and implementing state‑of‑the‑art machine learning models for large‑scale prediction problems
  • Working with massive structured and alternative datasets to uncover meaningful signals
  • Developing novel statistical methods and predictive features
  • Reading, evaluating, and extending cutting‑edge academic research
  • Designing experiments, testing hypotheses, and validating ideas through simulation
  • Collaborating with experienced researchers across disciplines to transform research into production‑ready strategies
  • Your research has a direct impact – from idea generation to live trading
Find the Team That Fits Your Strengths

Rather than hiring into a single narrow role, we match researchers to the team where they can have the greatest impact.

Alpha Research

Discover predictive signals by developing new features, exploring diverse datasets, and building machine learning models that forecast market behavior.

Data Science

Identify, acquire, engineer, and analyze large and unconventional datasets while partnering closely with researchers to unlock new predictive insights.

Strategy Research

Develop systematic trading strategies using modern statistical and machine learning techniques, validating ideas against real market data through rigorous experimentation.

Throughout the interview process, we’ll learn about your research interests, technical strengths, and career goals to determine the team that’s the best fit for you.

  • PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM discipline
  • Strong interest in machine learning, statistics, or artificial intelligence
  • Excellent programming skills in Python
  • Outstanding analytical and problem‑solving abilities
  • Ability to work independently while collaborating effectively with multidisciplinary teams
  • Curiosity, creativity, and a passion for solving difficult problems
What Makes Trexquant Different
  • Work on intellectually challenging, open‑ended research problems
  • Apply cutting‑edge machine learning to real‑world systems with measurable impact
  • Collaborate with accomplished researchers from diverse scientific disciplines
  • Access large‑scale datasets and significant computational resources
  • See successful ideas transition from research into production
  • Join a culture that values curiosity, experimentation, and scientific rigor
  • Competitive salary plus bonus based on individual and company performance
  • Collaborative, casual, and friendly work environment
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents
  • Pre‑tax commuter benefits
  • Weekly company meals

Applications are open for both Stamford and New York City offices, the latter with a planned opening in September 2026.

The base salary for this role is $150,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance‑based bonus. This position is classified as overtime‑exempt.

Trexquant is an Equal Opportunity Employer

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