7 Number Theory Jobs

As a Math Instructor/Assistant Instructor, you will be responsible for delivering high school Advanced Math content required for international curricula, including Calculus, Statistics, Differential Equations, Further Math, and Number Theory in an ed-tech environment. Your role will also entail possessing excellent knowledge and delivery skills for International Math Competitions at Olympiad level. Additionally, you will conceptualize and design courses for Math and other STEM subjects for undergraduate and high school students with a strong emphasis on Math. Key Responsibilities: - Deliver content for high school Advanced Math subjects - Demonstrate expertise in International Math Competitions at Olympiad level - Design courses for Math and other STEM subjects focusing on Math Qualifications Required: - M.Sc. Mathematics or Applied Maths, B.Tech. or M. Tech Computer Science, or highly meritorious B.Sc. Math Honours student - Strong content knowledge and proven track record as a bright Math student - Proficient in written and verbal communication - Understanding of digital pedagogy and effective online delivery - Passionate about math teaching - Doctorate students in Math are encouraged to apply Additional Details: Candidates with knowledge of graphing and geometry software (GeoGebra, Desmos, Excel, R), Math Writing tools (Latex, Math Type), and Computing languages will have an added advantage. Exposure or qualification in Olympiad and NTSE, as well as experience in international curricula or universities, will be highly considered for this position. Salary for this role will not be a constraint for passionate, committed, and meritorious candidates. Please fill in the required details and submit your application for this Math Instructor/Assistant Instructor position.,

We are looking for a highly skilled Mathematician to join our team of game designers. As an expert in mathematics and online game design, your role will involve creating engaging, challenging, and mathematically sound online games like Bingo, 24 Game, KenKen, and other puzzle games. You will have the opportunity to develop your own concepts to captivate players with numerical challenges. Your responsibilities will include designing and developing mathematical models for online games to ensure randomness, fairness, and excitement. You will create algorithms and formulas for generating game levels, puzzles, and challenges. Collaborating with game developers, you will implement these mathematical models into the game code to enhance player experience. Analyzing game data to optimize game balance, identify trends, and improve player engagement will also be part of your role. Furthermore, you will develop and maintain mathematical documentation for games, including design documents and technical specifications. Staying updated on industry trends, new game genres, and emerging technologies will be crucial as you work closely with cross-functional teams consisting of game designers, artists, and software engineers. Requirements for this position include a Master's or Ph.D. in Mathematics, Statistics, or a related field, along with proven experience in designing and developing mathematical models for online games. Strong knowledge of probability, statistics, combinatorics, and number theory is essential. Proficiency in programming languages like Python, R, or MATLAB, excellent problem-solving skills, attention to detail, and analytical thinking are also required. You should be able to effectively communicate complex mathematical concepts to non-technical stakeholders. Experience with game development software and technologies is advantageous. Nice to have qualifications include experience with machine learning and artificial intelligence, knowledge of game development frameworks like Unity or Unreal Engine, familiarity with cloud-based technologies such as AWS or Google Cloud, and certification in game development or a related field. In return, we offer you a platform to showcase your mathematical expertise and puzzle the world with innovative game concepts.,

You are an experienced Sr. TypeScript Engineer with a focus on Code Reasoning & Benchmarking. Your role will involve designing algorithmically rich coding problems, building evaluation systems, and developing comprehensive benchmarks to test reasoning, correctness, and performance. As a highly technical position, you will need deep expertise in algorithms, system-level problem solving, and software engineering. The ideal candidate should be a creative problem designer and a detail-oriented engineer capable of delivering production-ready artifacts within a short timeframe. Your key responsibilities will include creating algorithmically challenging coding problems, writing clean and modular Java code with comprehensive test suites, drafting clear technical specifications and problem statements, ensuring algorithm coverage across multiple domains, applying metadata to all problems for consistency, participating in quality assurance activities, and delivering well-documented and scalable outputs. To be successful in this role, you should have at least 5 years of experience in software engineering, algorithm design, or systems-level programming. You must possess a strong command of TypeScript (4+ years) and be able to implement high-performance solutions. A solid understanding of complexity analysis, optimization, and computational constraints is required, along with experience in test automation, benchmarks, and large-scale evaluation systems. Familiarity with version control (e.g., Git) and structured data formats (JSON, YAML) is also necessary. Candidates should demonstrate fluency in at least four of the following areas: Core Data Structures (Trie, Segment Tree, Union-Find), Algorithmic Paradigms (Dynamic Programming, Greedy Algorithms, Bitmasking), Graph Algorithms (Shortest Paths, Network Flow, Topological Sorting), Mathematics & Number Theory (Geometry, Probability, Modular Arithmetic), String Processing (Suffix Trees, Rolling Hashing, Pattern Matching), and Advanced Topics (2-SAT, FFT, Linear Programming).,

We are looking for an experienced Sr. PHP Engineer with a focus on Code Reasoning & Benchmarking. In this role, you will be responsible for designing algorithmically rich coding problems, creating evaluation systems, and developing benchmarks that assess reasoning, correctness, and performance. This position demands a high level of technical expertise in algorithms, system-level issue solving, and software engineering. The ideal candidate should possess strong problem-solving skills, be detail-oriented, and capable of delivering production-ready solutions within tight deadlines. Key Responsibilities - Problem & System Design: Develop algorithmically challenging coding problems to assess reasoning, correctness, and efficiency in real-world software scenarios. - Robust Development: Write clean, modular Java code with comprehensive test suites covering correctness, edge cases, and performance. - Technical Specifications: Create clear, precise problem statements with well-defined constraints and evaluation criteria. - Algorithm Coverage: Ensure a broad representation across various domains including data structures, graph algorithms, number theory, performance optimization, and constraint-based design. - Metadata & Documentation: Apply structured metadata to all problems to maintain consistency and reproducibility. - Quality Assurance: Participate in peer reviews and validation cycles to uphold high engineering and system integrity standards. - Deliverables: Provide well-documented, maintainable, and scalable outputs suitable for integration into production environments or downstream applications. Requirements - Experience: Minimum of 5 years in software engineering, algorithm design, or systems-level programming. - Language Proficiency: Strong command of PHP (at least 4 years) with the ability to implement high-performance solutions. - Algorithmic Strength: Solid understanding of complexity analysis, optimization, and computational constraints. - Test Engineering: Hands-on experience with test automation, benchmarks, or large-scale evaluation systems. - Tooling Knowledge: Familiarity with version control systems such as Git, and structured data formats like JSON and YAML. Domain Expertise Candidates should demonstrate proficiency in at least four of the following areas: - Core Data Structures: Trie, Segment Tree, Union-Find - Algorithmic Paradigms: Dynamic Programming, Greedy Algorithms, Bitmasking - Graph Algorithms: Shortest Paths, Network Flow, Topological Sorting - Mathematics & Number Theory: Geometry, Probability, Modular Arithmetic - String Processing: Suffix Trees, Rolling Hashing, Pattern Matching - Advanced Topics: 2-SAT, FFT, Linear Programming,

This role is based in Australia at UNSW Canberra's ADFA Campus. As a Lecturer/Senior Lecturer in Mathematics at UNSW Canberra, you will be employed full-time for 35 hours per week on a continuing basis. The remuneration for Level B starts from $127,947 and Level C starts from $155,403, with an additional 17% superannuation contribution. UNSW Canberra, a part of the University of New South Wales, is committed to being thoughtful, practical, and purposeful in all endeavors. The university's impact is globally recognized, being among the top 20 universities worldwide and a proud member of Australia's esteemed Group of Eight. Choosing a career at UNSW means embracing an environment that encourages thriving, facing challenges, and engaging in meaningful work. At UNSW, excellence is fostered, and meaningful contributions are integral to the university experience. The School of Science at UNSW Canberra is looking for a Lecturer or Senior Lecturer in Mathematics to join their team. The School offers a comprehensive program of Mathematics courses, from first to third year, as part of a Bachelor of Science degree majoring in Mathematics or a four-year Honours degree. The School has strong research profiles in Bushfire Research and Number Theory, leading cutting-edge investigations into bushfire behavior and exploring properties of integers through advanced algebraic and analytic techniques. As the ideal candidate, you will have a PhD in a related discipline and/or relevant work experience, demonstrating a commitment to staying updated with discipline knowledge. You will have experience in teaching and learning design at undergraduate and/or postgraduate levels, along with proficiency in educational technologies and online delivery methods. Your passion for educational excellence, ability to support students from diverse backgrounds, and commitment to equity, diversity, and inclusion initiatives will be key strengths for this role. UNSW offers a supportive work environment that values work-life balance, providing access to high-quality services, facilities, and flexible work arrangements. Benefits include flexible working options, additional leave during the festive period, career development opportunities, discounted UNSW courses, free gym access, and a focus on promoting a healthy body, healthy mind, healthy places, and healthy culture. The successful candidate will undergo pre-employment checks before starting the role, as outlined in the Position Description. To apply for this position, submit your application online before Sunday 10 August 2025 at 11:30pm, including your CV and a 12-page cover letter addressing your interest and suitability for the role. For any role-related queries, please contact John-David Dewsbury, Head of School, School of Science, at j.dewsbury@unsw.edu.au. For recruitment process-related queries, reach out to Holly Whale, Talent Acquisition Consultant, at h.whale@unsw.edu.au. Applications should not be sent directly to the contacts listed. UNSW is committed to equity, diversity, and inclusion, encouraging applications from individuals of various backgrounds. Workplace adjustments are provided for people with disabilities, and flexible work options are available for eligible staff.,

Engagement 6 weeks | Contractor role (no paid leave) Full-time (8 hrs/day) with 4 hrs PST overlap Flexible options: 20 / 30 / 40 hrs per week Fully remote | Work on cutting-edge AI & reasoning projects Role & responsibilities Were seeking a Sr. Python Engineer for a 6-week contract to design algorithmically rich coding problems and build benchmarking systems that test reasoning, correctness, and performance. Perfect for engineers who love algorithms, problem-solving, and performance optimization . Job Description - Design algorithmically challenging coding problems across DS, Graphs, Number Theory, and Strings Develop Python-based solutions, test suites, and benchmarking frameworks Write clear technical specs and metadata (taxonomy, difficulty, metrics) Ensure robustness, correctness, and edge-case coverage in real-world software scenarios Collaborate in peer reviews and maintain modular, production-ready code Preferred candidate profile 5+ yrs software engineering, 4+ yrs Python Strong in algorithms, data structures, complexity analysis Bonus: competitive programming, benchmarking, or test automation Expertise in at least 4 areas: DS, DP/Greedy, Graphs, Math/Number Theory, Strings, Advanced Algorithms

Duration: 1.5 months Employment Type: Contractor Assignment (no medical/paid leave) Location: Remote Experience: 5+ Years Skills required: Java, Algorithms, Data Structures, competitive programming Working days and shift time: At least 4 hours per day and minimum 20 hours per week ( Overlap of 4 hours with PST timezone) Flexible engagement options: 20 hrs/week, 30 hrs/week, or 40 hrs/week Role & responsibilities We are hiring experienced backend/system engineers who love algorithms, competitive programming, and performance engineering . In this role, you will design challenging coding problems , build benchmarking & evaluation systems , and develop robust Java-based solutions that test reasoning, correctness, and efficiency. What Youll Do: Design algorithmically rich coding problems across DS, Graphs, Number Theory, Strings Build evaluation frameworks, benchmarks & comprehensive test suites Write clear technical specs and metadata (difficulty, taxonomy, metrics) Drive performance optimization and edge-case coverage Preferred candidate profile 5+ years software engineering, 4+ years Java Strong knowledge of algorithms, data structures, complexity analysis Experience in competitive programming (ICPC, Codeforces, LeetCode, Topcoder, etc.) is a big plus Familiarity with test automation / benchmarking / performance engineering