1

Phd In Mathematics Jobs in Massachusetts (NOW HIRING)

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Bachelor's degree in Mathematics, Computer Science, Cybersecurity or a related field and 8 years of relevant experience, 6 years and a Masters, or 3 years and a PhD * Strong background in cryptology ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Showing results 21-40

Phd In Mathematics information

What is a PhD in Mathematics?

A PhD in Mathematics is the highest academic degree in the field of mathematics, typically awarded after several years of original research and advanced coursework. The program involves the completion of a dissertation that contributes new knowledge to mathematical theory or application. Graduates are prepared for careers in academia, research, industry, and government, where they can apply their expertise to solve complex problems or teach at a university level.

What are the key skills and qualifications needed to thrive as a PhD in Mathematics, and why are they important?

To thrive as a PhD in Mathematics, you need advanced mathematical reasoning, problem-solving abilities, and a deep understanding of mathematical theory, usually supported by a strong academic background and research experience. Familiarity with mathematical software (such as MATLAB, Mathematica, or Python for computational work) and experience with academic publishing are commonly required. Strong analytical thinking, perseverance, and effective communication skills help you excel in research, teaching, and collaboration. These skills are crucial for pushing the boundaries of mathematical knowledge and successfully sharing insights with both academic and broader audiences.

What types of collaborative opportunities are available for someone with a PhD in Mathematics within academic or industry settings?

Individuals with a PhD in Mathematics often collaborate with professionals from various disciplines, such as computer science, engineering, economics, or biology, depending on their area of expertise. In academia, this may involve joint research projects, interdisciplinary teaching, or grant applications with faculty from other departments. In industry, mathematicians frequently work on teams with data scientists, engineers, or analysts to solve complex problems, optimize processes, or develop new technologies. These collaborations not only broaden the impact of mathematical research but also provide valuable professional networking and learning opportunities.

What is the difference between Phd In Mathematics vs Data Scientist?

AspectPhd In MathematicsData Scientist
Required CredentialsDoctorate in Mathematics or related fieldBachelor's or Master's in Math, Statistics, CS, or related field; PhD preferred
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, finance, healthcare
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search IntentAcademic careers, research rolesData analysis, machine learning roles

While a Phd in Mathematics focuses on advanced research and theoretical work, a Data Scientist applies mathematical and statistical skills to analyze data and solve business problems. Both roles require strong quantitative skills, but Data Scientists often work in industry settings with a focus on practical data applications.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and research institutions, where advanced analytical and problem-solving skills are valued. Opportunities often require strong quantitative skills, programming knowledge, and the ability to apply mathematical theories to real-world problems.

Is a PhD in mathematics worth it?

A PhD in mathematics prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong analytical and problem-solving skills. While it can lead to high-level positions, it typically involves several years of study and may not guarantee higher salaries compared to other advanced degrees or industry experience.

What jobs can you get with a PhD in mathematics?

A PhD in mathematics qualifies individuals for roles such as research mathematician, data scientist, quantitative analyst, operations researcher, or university professor. These positions often require strong analytical, problem-solving, and programming skills, and may involve working in academia, finance, technology, or government agencies.

What job categories do people searching Phd In Mathematics jobs in Massachusetts look for?

The top searched job categories for Phd In Mathematics jobs in Massachusetts are:

Infographic showing various Phd In Mathematics job openings in Massachusetts as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Postdoctoral Fellowship in Electrical and Computer Engineering

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

Re-posted 18 days ago


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 631 rated colleges and universities


Job description

Position
Details
Title
Postdoctoral Fellowship in Electrical and Computer Engineering
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Computer Science
Position Description
The John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics at Harvard University seeks applicants for a postdoctoral fellow in Electrical and Computer Engineering.
This position is for a Postdoctoral Scholar in the area of information theory and artificial intelligence at the Harvard Information Theory Laboratory The successful candidate will work under the supervision of Prof. Flavio Calmon at Harvard SEAS. The postdoctoral researcher will develop information-theoretic methods for alignment, privacy, and reliability in modern AI systems.
Basic Qualifications
Applicants must have a PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline, or be confident of its completion by the start of this position.
Additional Qualifications
Successful candidates will have publications in information theory and machine learning venues, such as IEEE Transactions on Information Theory, ISIT, NeurIPS, ICML, ICLR, and ACM FAccT. Experience in machine learning and information theory, and expertise in at least one of the following areas is preferred: AI alignment, (differential) privacy, and coding or information theory for AI systems. Proficiency in Python and experience with GPU cluster environments (e.g., SLURM) are a plus.
Special Instructions
Please provide a CV, a Research Statement, and two or more letters of recommendation.
The target start date is September 2026 (flexible). The position is funded for two years.
Contact Information
Sarah Gayer
Contact Email
sgayer@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field
Minimum Number of References Required
2
Maximum Number of References Allowed
5
Keywords

What Harvard University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom