... computer science, quantum computing, biotech, and other data-intensive sciences are strongly ... Paid internship (competitive, based on experience and location)
Quick apply
... computer science, quantum computing, biotech, and other data-intensive sciences are strongly ... Paid internship (competitive, based on experience and location)
... computer science, quantum computing, biotech, and other data-intensive sciences are strongly ... Paid internship (competitive, based on experience and location)
Quick apply
... computer science, quantum computing, biotech, and other data-intensive sciences are strongly ... Paid internship (competitive, based on experience and location)
... computer science, quantum computing, biotech, and other data-intensive sciences are strongly ... Statistical physics, complex systems, or network theory Applied or computational mathematics ...
... computer science, quantum computing, biotech, and other data-intensive sciences are strongly ... Statistical physics, complex systems, or network theory Applied or computational mathematics ...
... computer science, quantum computing, biotech, and other data-intensive sciences are strongly ... Paid internship (competitive, based on experience and location)
Quick apply
... computer science, quantum computing, biotech, and other data-intensive sciences are strongly ... Paid internship (competitive, based on experience and location)
Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience
Cambridge, MA · On-site
$67K - $91K/yr
We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience ...
Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience
Cambridge, MA · On-site
$67K - $91K/yr
We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience ...
Consultant Scientist, Computer Aided Drug Design (CADD)
Watertown, MA · On-site
$150K - $185K/yr
... science and machine learning tools (e.g. scikit-learn, pytorch) * Experience mentoring interns, co ... computer science to chemistry, biology, biochemistry, and structural biology. This continuum of ...
Consultant Scientist, Computer Aided Drug Design (CADD)
Watertown, MA · On-site
$150K - $185K/yr
... science and machine learning tools (e.g. scikit-learn, pytorch) * Experience mentoring interns, co ... computer science to chemistry, biology, biochemistry, and structural biology. This continuum of ...
Pursuing a degree in physics, computer science, mathematics, or a related field. * Strong physics ... On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating ...
Pursuing a degree in physics, computer science, mathematics, or a related field. * Strong physics ... On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating ...
Postdoctoral Fellowship in Electrical and Computer Engineering
Cambridge, MA · On-site
$67K - $91K/yr
Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position ... This position is for a Postdoctoral Scholar in the area of information theory and artificial ...
Postdoctoral Fellowship in Electrical and Computer Engineering
Cambridge, MA · On-site
$67K - $91K/yr
Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position ... This position is for a Postdoctoral Scholar in the area of information theory and artificial ...
Postdoctoral Fellowship in Electrical and Computer Engineering
Cambridge, MA · On-site
$67K - $91K/yr
Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position ... This position is for a Postdoctoral Scholar in the area of information theory and artificial ...
Postdoctoral Fellowship in Electrical and Computer Engineering
Cambridge, MA · On-site
$67K - $91K/yr
Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position ... This position is for a Postdoctoral Scholar in the area of information theory and artificial ...
Pursuing a degree in physics, computer science, mathematics, or a related field. * Strong physics ... On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating ...
Pursuing a degree in physics, computer science, mathematics, or a related field. * Strong physics ... On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating ...
Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience
Cambridge, MA · On-site
$67K - $91K/yr
We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience ...
Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience
Cambridge, MA · On-site
$67K - $91K/yr
We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience ...
We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and ...
Quick apply
We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and ...
We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and ...
Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience
Cambridge, MA · On-site
$67K - $91K/yr
We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience ...
Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience
Cambridge, MA · On-site
$67K - $91K/yr
We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience ...
Theoretical Computer Science Internship information
What is a theoretical computer science internship?
A Theoretical Computer Science Internship is a temporary position, typically for students or recent graduates, focused on research and problem-solving within the foundational areas of computer science. Interns in this role explore topics such as algorithms, computational complexity, cryptography, and formal methods. They often work on mathematical proofs, theoretical models, or simulations under the guidance of experienced researchers or faculty. The internship provides valuable experience in academic research, logical reasoning, and advanced problem-solving, preparing participants for further study or research-oriented careers.
What types of projects do interns typically work on during a theoretical computer science internship?
During a Theoretical Computer Science Internship, interns often work on projects involving algorithm design, computational complexity, graph theory, or cryptography. These projects may include analyzing and improving existing algorithms, developing proofs of concept, or researching open problems under the guidance of senior researchers. Interns usually collaborate closely with other interns and full-time researchers, participate in regular group meetings, and are encouraged to present their findings. The work is generally research-oriented and may involve reading academic papers, writing reports, and sometimes contributing to publications.
What are the key skills and qualifications needed to thrive as a theoretical computer science intern, and why are they important?
To thrive as a Theoretical Computer Science Intern, you need a strong background in mathematics, algorithms, and discrete structures, often supported by coursework in computer science or mathematics. Familiarity with programming languages (such as Python or C++), LaTeX for documentation, and version control systems like Git is typically expected. Analytical thinking, problem-solving, and effective written communication are standout soft skills for this role. These skills are crucial for tackling complex theoretical problems, collaborating on research, and clearly presenting findings in both academic and professional environments.
What is the difference between Theoretical Computer Science Internship vs Data Science Internship?
| Aspect | Theoretical Computer Science Internship | Data Science Internship |
|---|---|---|
| Required Credentials | Typically requires computer science or related degrees, strong math background | Requires statistics, programming, and data analysis skills |
| Work Environment | Research labs, academic settings, tech companies focusing on algorithms and theory | Business, tech companies, analytics firms working on data modeling and insights |
| Industry Usage | Academic research, R&D departments, tech industry | Business analytics, marketing, finance, tech industry |
Theoretical Computer Science Internships focus on algorithm development, computational theory, and mathematical foundations, often in research or academic settings. Data Science Internships emphasize data analysis, machine learning, and practical application of statistical methods in business or tech environments. While both require strong programming skills, their core focus and industry applications differ significantly.
What are popular job titles related to Theoretical Computer Science Internship jobs in Massachusetts?
For Theoretical Computer Science Internship jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Theoretical Computer Science Internship jobs in Massachusetts look for?
The top searched job categories for Theoretical Computer Science Internship jobs in Massachusetts are:
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What cities in Massachusetts are hiring for Theoretical Computer Science Internship jobs?
Cities in Massachusetts with the most Theoretical Computer Science Internship job openings:
Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics
Cambridge, MA • On-site
Full-time
Re-posted 17 days ago
Job description
Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)
Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
- Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches
- Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk
- Design and implement analytical tools and pipelines using Python and SQL
- Contribute to model validation, backtesting, and performance evaluation
- Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure
- Communicate complex quantitative insights through clear visualizations and technical summaries
- Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics
- Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)
- Strong foundation in probability, statistics, and numerical methods
- Proficiency in Python (NumPy, pandas, or similar) and/or SQL
- Experience working with large datasets and implementing quantitative models
- Ability to think rigorously about complex systems and translate theory into practical solutions
- Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)
- Experience with scientific computing, optimization, or machine learning
- Background or research in cross-disciplinary areas such as:
- Statistical physics, complex systems, or network theory
- Applied or computational mathematics
- Machine learning or probabilistic modeling
- Quantum computing or advanced optimization techniques
- Topological data analysis or geometric data methods
- Prior research, publications, or project work demonstrating advanced quantitative modeling
- Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics
- Opportunity to apply cutting-edge academic methods in a production environment
- Collaboration with a highly quantitative, cross-disciplinary team
- Experience working with large-scale financial data and modern analytics infrastructure
- Mentorship and potential pathway to full-time quantitative roles
- Internship: Summer 2026, with potential to extend
- Paid internship (competitive, based on experience and location)