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Internship Mathematical Optimization Jobs (NOW HIRING)

Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Mathematics ... internships, or research. Experience with profiling/performance analysis tools (e.g., Xcode ...

Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Mathematics ... internships, or research. Experience with profiling/performance analysis tools (e.g., Xcode ...

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... Conduct SEO and keyword research to identify growth opportunities and track performance * Analyze ...

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... Conduct SEO and keyword research to identify growth opportunities and track performance * Analyze ...

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... Conduct SEO and keyword research to identify growth opportunities and track performance * Analyze ...

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... Conduct SEO and keyword research to identify growth opportunities and track performance * Analyze ...

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Internship Mathematical Optimization information

What is an internship in mathematical optimization?

An Internship in Mathematical Optimization is a temporary position for students or recent graduates to gain practical experience applying mathematical techniques to solve optimization problems. These internships typically involve tasks such as modeling real-world scenarios, developing algorithms, and using software tools to find optimal solutions in areas like logistics, finance, or engineering. Interns often work with experienced professionals, contributing to research projects or business applications while building their technical skills. The role usually requires a solid foundation in mathematics, programming, and analytical thinking.

What types of projects can I expect to work on during an internship in mathematical optimization?

As an intern in Mathematical Optimization, you will typically work on real-world problems that involve designing, implementing, and testing optimization algorithms. Projects may include tasks such as modeling supply chain logistics, scheduling operations, or improving resource allocation for various industries. You'll likely collaborate with data scientists, engineers, and other interns to collect data, build models, and present findings. This hands-on experience helps you develop both technical and teamwork skills, and often includes mentorship from senior optimization experts.

What are the key skills and qualifications needed to thrive in an internship in mathematical optimization?

To thrive in an Internship in Mathematical Optimization, you need a solid background in mathematics, particularly in optimization theory, linear algebra, and programming, usually supported by ongoing or completed studies in applied mathematics, engineering, or a related field. Familiarity with optimization software (like Gurobi or CPLEX), programming languages such as Python or MATLAB, and experience with relevant libraries or frameworks is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns stand out when solving complex problems and collaborating with teams. These skills are crucial for developing efficient optimization solutions and contributing meaningfully to research or industry projects.

What is the difference between Internship Mathematical Optimization vs Data Analyst Intern?

AspectInternship Mathematical OptimizationData Analyst Intern
Required CredentialsBasic knowledge of optimization, programming skillsStatistics, data analysis, programming
Work EnvironmentResearch, algorithm development, modelingData collection, reporting, visualization
Industry UsageOperations research, logistics, supply chainBusiness, marketing, finance

Internship Mathematical Optimization focuses on developing and applying algorithms to optimize processes, often in logistics or operations research. Data Analyst Interns analyze and interpret data to support business decisions. While both roles involve data and programming, optimization internships emphasize mathematical modeling, whereas data analysis internships focus on data interpretation and visualization.

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Infographic showing various Internship Mathematical Optimization job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

2026 PhD Graduate - Senior Engineer-Analyst for ISR Scientific Applications

Johns Hopkins University AppliedPhysicsLaboratory

Laurel, MD โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Description
Are you interested in researching, developing, and analyzing innovative ways to produce impactful information from many different types of sensors and sources of data?
Would you like to advance your ideas from concept to prototype to field testing on US military ships, aircraft, satellites, and ground systems?
Would you enjoy developing advanced capabilities that will be used by US military personnel to achieve their missions in Intelligence, Surveillance, Reconnaissance, and Targeting?
If so, and if you are graduating with a Doctorate degree in a technical field, we'd love to have you join our team at APL!
We are seeking creative engineers, scientists, mathematicians, and programmers to help us conceptualize, develop, test, assess, and field the next generation of ISRT and Counter-ISRT capabilities for the US military. Our team applies disciplines such as sensor and data fusion, signal and image processing, operations research, applied physics, machine learning, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments. Our work enables the US military to neutralize a wider variety of serious threats from safer distances than they could otherwise accomplish; improves the safety, survivability, and effectiveness of US air, naval, and ground forces; and disrupts the ability of potential adversaries to threaten our forces.
As a Senior Engineer/Analyst for ISRT Scientific Applications,
  • Your primary responsibility will be to lead and contribute to teams developing algorithms, mathematical-physical models, software prototypes, and deployable software applications for ISRT applications.
  • You will lead and contribute to teams developing new signal processing, image processing, multi-sensor data fusion, and multi-sensor resource optimization techniques.
  • You will lead and contribute to teams developing new modeling, simulation, and analytical methods and tools.
  • You will lead and contribute to teams developing and analyzing new ISRT concepts and architectures.
  • You will lead and contribute to field tests and experiments, including planning, execution, and data analysis.
  • You will document and present your and the team's results to project leads, sponsors, and technical workshops and conferences.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a Doctorate degree in engineering, applied mathematics, computer science, physics, or other related field.
  • Have skills and experience developing scientific and engineering applications in programming languages such as MATLAB, Python, C++, and Java and in Linux environments.
  • Have strong inter-personal and written communications skills.
  • Have the ability to work in a team environment.
  • Have the ability to multi-task, support multiple, concurrent projects, and adapt to changing circumstances.
  • Are willing and able to work a portion of the time in secure, closed areas and travel occasionally to government sites and contractor facilities (local and non-local).
  • Are able to obtain a Top Secret /SCI level security clearance. If selected you may start with your clearance processing and will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have had a Postdoc work experience, or significant internship experience, in a relevant technical field.
  • Have skills and experience implementing complex mathematical techniques (such as neural networks and other machine learning approaches) in software applications.
  • Have skills and experience developing software from conceptualization to fully functional applications.
  • Have skills and experience with signal and image processing, data fusion, statistical analysis, mathematical optimization, pattern recognition, machine learning, and artificial intelligence techniques.
  • Have domain knowledge in ISR processes, systems, platforms, and sensors used by the US military and intelligence community.
  • Hold an active Secret, Top Secret, or TS/SCI-level security clearance.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ;br>
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually