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Applied Mathematics Computer Science Jobs in Texas

D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience * Proven ability to move quickly from prototype to production ...

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Preferred Skills ... AI, or Applied Mathematics. * Background in distributed systems, edge computing, or privacy ...

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Applied Mathematics Computer Science information

What can I do with mathematics and computer science?

Applied mathematics and computer science graduates can pursue careers in software development, data analysis, cybersecurity, machine learning, and quantitative research. These fields require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, often supported by certifications or advanced degrees.

What is applied mathematics in computer science?

Applied mathematics in computer science involves using mathematical methods and models to solve practical problems related to algorithms, data analysis, cryptography, and software development. It includes skills in areas such as linear algebra, probability, and optimization, which are essential for developing efficient algorithms and understanding computational systems.

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied math good for computer science?

Applied mathematics is highly valuable for computer science roles, especially in areas like algorithms, data analysis, machine learning, and cryptography. Strong mathematical skills can enhance problem-solving and enable the development of efficient, innovative solutions in tech environments.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge in languages like Python or Java, and understanding of algorithms and data structures.
What job categories do people searching Applied Mathematics Computer Science jobs in Texas look for? The top searched job categories for Applied Mathematics Computer Science jobs in Texas are:
What cities in Texas are hiring for Applied Mathematics Computer Science jobs? Cities in Texas with the most Applied Mathematics Computer Science job openings:
#53680 Postdoctoral Researcher in Computational Stochastic Programming

#53680 Postdoctoral Researcher in Computational Stochastic Programming

Southern Methodist University

Dallas, TX • On-site

$55K/yr

Full-time

Posted 9 days ago


Southern Methodist University rating

7.4

Company rating: 7.4 out of 10

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Job description

Description
Description: The Department of Operations Research and Engineering Management within the Lyle School of Engineering at the Southern Methodist University seeks candidates for a Postdoctoral Research Associate in computational stochastic programming. The primary duties will include (i) active research involving modeling, optimization, simulation, and computer implementation of stochastic programming algorithms, (ii) manuscript development for peer-reviewed publications, and (iii) assistance with additional sponsored research activity.
Qualifications
Position Requirements:
  • Successful completion of a Ph. D. (by the time of joining) in Operations Research, Applied Mathematics, Computer Science, or other related engineering fields.
  • Must have experience in stochastic and/or discrete optimization. Additionally, exposure to modeling of infrastructure planning and operations problems will be beneficial.
  • Highly motivated to pursue computational aspects of optimization research.
  • Candidate must have excellent written and verbal communication skills with the ability to communicate effectively with a wide range of constituencies

Salary and term: The anticipated start date is August 1, 2025. The position is for one year with a renumeration of $55,000 and benefits.
Application Instructions
Review of applications will begin immediately. To ensure full consideration for the position, the application must be received by June 15, 2025. However, the committee will continue to accept applications until the position is filled. The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check.
Contact: For more information regarding the research project and the open position, interested candidates can contact Harsha Gangammanavar (harsha@smu.edu).
SMU Nondiscrimination Statement: SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

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