9 Mathematica Jobs

Job Title: Multi-Disciplinary Design & Simulation Engineer (CAD/CAE/Computation Expert) Location: Gurugram, Haryana Employment Type: Full-Time / Part-Time / Project-Based Company: Stuvalley Technology Pvt. Ltd. About the Role Stuvalley Technology Pvt. Ltd. is seeking highly skilled and software-proficient professionals with strong expertise in design, simulation, analysis, and mathematical modeling. The ideal candidate will have hands-on experience in tools such as CATIA, ANSYS, MATLAB, AutoCAD, ETAP, and others, and should be from a Mechanical, Electrical, Civil, Computer Science, Mathematics, or Physical Sciences background. This is an exciting opportunity for professionals who are passionate about applying their technical skills across academic, industrial, and research-based projects. Key Responsibilities Develop and optimize 2D/3D CAD models using CATIA, NX (Unigraphics), AutoCAD, and related tools Perform Finite Element Analysis (FEA), motion simulation, or thermal/stress analysis using ANSYS, MATLAB Simulink, etc. Conduct power system simulations using ETAP or similar platforms Work on structural, civil, or electrical design using domain-specific tools Prepare engineering calculations, models, and technical documentation Collaborate with multi-disciplinary teams for project-based design solutions Contribute to training, consulting, or R&D work as needed Software & Domain Expertise Mechanical Engineering CATIA, NX, SolidWorks, AutoCAD, ANSYS, Abaqus, MATLAB, Pro/E (Creo), Fusion 360 Electrical Engineering ETAP, AutoCAD Electrical, EPLAN, PSCAD, PSpice, MATLAB Simulink Civil Engineering AutoCAD Civil 3D, Revit, STAAD Pro, SAP2000, ETABS Computer Science/Mathematics MATLAB, Python, R, AnyLogic, Simulink, Mathematica, Maple Physics/Chemistry COMSOL Multiphysics, ChemCAD, Origin, LabVIEW, Ansys Fluent Qualifications Bachelors, Masters, or PhD in a relevant engineering or science discipline Strong command of relevant design and simulation tools Ability to integrate engineering principles into digital workflows Strong analytical, documentation, and communication skills Preferred Experience Exposure to academic research, consulting, or product development Involvement in multi-disciplinary or cross-functional projects Experience mentoring or training others in technical tools A portfolio demonstrating prior simulation/design work is desirable How to Apply Interested candidates may send their updated CV and portfolio (if available) to [HIDDEN TEXT] Please mention Application: CAD/Simulation Expert in the subject line. Show more Show less

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

Career Point University, Kota School of Basic & Applied Sciences invites applications from prospective & eligible candidates for the vacant post of Assistant Professor - Mathematics. Key Responsibilities: Conduct undergraduate and postgraduate classes in Mathematics. Participate in academic planning, curriculum development, and departmental activities. Organise and coordinate seminars, workshops, and conferences. Supervise student projects, dissertations, and research activities. Collaborate with academic and research institutions for joint initiatives. Eligibility Criteria: Ph.D. in Mathematics from a recognised University/Institution. NET (National Eligibility Test) qualification is mandatory. Proven academic and research credentials, including publications in reputed journals, authored books, patents, or technology development. How to Apply: Interested candidates may email their updated CV to hr@cpur.edu.in or contact us at +91-9057532005 for further information.

As an Innovation Engineer in our team, you will play a crucial role in developing cutting-edge software solutions tailored for math and science education. Your expertise in algorithms, computational science, and mathematics will drive the creation of innovative tools to enhance learning experiences. You will be responsible for developing, optimizing, and maintaining algorithmic solutions to tackle mathematical and scientific challenges. Your role will involve designing software that generates diverse and complex math and science question sets to support various educational curricula. Collaborating closely with educators and subject matter experts, you will translate learning objectives into computational logic and software features. Integrating numeric, symbolic, and computational methodologies, you will create efficient educational tools that facilitate transparent and effective learning experiences. Your work will also involve evaluating and implementing AI/LLM-based modules where they enhance algorithmic approaches, particularly for tasks like natural-language parsing or automated explanation, while critically assessing their performance and limitations. To qualify for this role, you should hold a Bachelor's or Master's degree in Mathematics, Computational Science, Computer Science, Engineering, or a related quantitative field. Additionally, you should have a minimum of 3 years of hands-on experience in computational roles focused on algorithm development, symbolic/numeric computation, or mathematical modeling. Proficiency in programming languages such as Python, C++, Java, or similar languages, along with experience in computation-focused libraries like NumPy, SymPy, SageMath, MATLAB, or Mathematica, is essential. Preferred qualifications include experience in developing educational software involving symbolic/numerical computation or complex algorithmic logic, as well as an understanding of modern AI tools and their applications in math and science problem solving. You should possess the ability to judiciously integrate LLMs or AI-based modules for specific tasks where algorithmic solutions may be impractical. Key skills for success in this role include analytical and logical reasoning abilities for mathematical modeling and software design, a genuine passion for leveraging technology to advance math and science education, effective communication skills for cross-functional collaboration, and awareness of recent advancements in computational math and AI approaches to strategically apply them where they offer distinct value.,

Dear Candidates, Thank you for being so interested in Edify School Patna. We are thrilled to inform you that we have an exciting job opportunity for the position of TGT Math Teacher for Patna location. Required Candidate profile We are seeking a candidate who has exceptional English communication skills and relevant Experience in CBSE, Cambridge Schools. Qualification: B.Sc/M.Sc (Math) + B.Ed.

Job Title: Mathematics Instructor Locations: Sonipat, Pune (On-site) Institution: Newton School of Technology Experience Required: 24 years (Academic or Industry in a Mathematics/Engineering context) Employment Type: Full-time, On-campus About Us Newton School of Technology, in collaboration with Rishihood University (Sonipat) and Ajeenkya DY Patil University (Pune), is reimagining the future of engineering education. Built at the intersection of academic excellence and industry relevance, we are committed to nurturing engineering graduates with a strong foundation in core mathematics and its applications in modern computing disciplines. Through this initiative, we aim to address the employability gap by combining rigorous academic training with real-world exposure. Role Overview We are seeking a dynamic and motivated Mathematics Instructor to join our academic team at Newton School of Technology. The ideal candidate will have a solid foundation in Engineering Mathematics , strong teaching abilities, and a passion for mentoring B.Tech students in a high-impact academic environment. You will play a key role in curriculum design, classroom instruction, lab facilitation , and student mentoring , while also contributing to academic innovation and interdisciplinary collaboration. Key Responsibilities Course Design and Instruction Plan and deliver lectures, tutorials, and assessments in core mathematical subjects including: Calculus, Linear Algebra, Probability & Statistics, Discrete Mathematics, and Optimization Tailor content delivery to match the academic level and learning pace of B.Tech students. Student Mentorship Guide and mentor students through their academic journey. Assist with assignments, projects, and concept reinforcement sessions. Lab and Application Integration Design and lead lab sessions using mathematical tools and software. Integrate theoretical concepts with real-world applications in computing and data science. Curriculum Development and Collaboration Continuously update course content in collaboration with faculty and industry experts. Align mathematical instruction with emerging fields such as AI, ML, Cryptography, and Data Analytics. Research & Innovation Encourage research-based learning and support students in academic or industry-driven research projects. Participate in faculty development and cross-disciplinary academic initiatives. Required Skills & Qualifications: Must-Haves: 2–4 years of teaching or industry experience involving Engineering Mathematics Deep understanding of core topics: Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization. Strong communication and conceptual clarity. Ability to engage students and simplify complex mathematical ideas. Commitment to academic excellence and student-centered learning. Good-to-Haves: Prior experience teaching B.Tech students in a classroom or lab setting. Familiarity with tools such as: Desmos, GeoGebra, MATLAB, R, or Python (NumPy/Matplotlib). Exposure to applied domains: AI/ML, Data Science, Cryptography. Experience with digital platforms for academic delivery (Moodle, Google Classroom, etc.) Perks and Benefits Competitive salary aligned with market standards. Access to state-of-the-art classrooms and mathematics labs. Involvement in cutting-edge curriculum and interdisciplinary learning. Opportunity to contribute to high-impact education in a mission-driven academic environment. Interview Process Round 1 – Technical Assessment: Conceptual test on core mathematics topics and teaching-oriented problem solving. Round 2 – Teaching Demonstration: Mock lecture to assess instructional ability, engagement, and clarity. Round 3 – Final Discussion: Interaction with institutional leadership to assess alignment, motivation, and cultural fit. Be a part of a bold academic mission to shape the next generation of technology leaders. To learn more, visit: Newton School of Technology

Role & responsibilities Effective delivery of lessons for classes 8,9,10 Assessment and evaluation. collaboration with parents for students progress Preferred candidate profile Post graduate in Mathematics and B.ed

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. Position Overview Boeing Test and Evaluation team is currently looking for one Associate Reliability Engineer to join their team in Bengaluru, KA. Test & Evaluation engineers at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Boeing Test and Evaluation (BT&E) -India is an integral part of BT&E and is engaged in supporting lab and flight test for various programs. Position Responsibilities Reliability Engineer will refine various existing reliability tools as well as create new tools/processes for automating existing work making it more efficient and reliable. Examples include reliability analysis, automation of reliability group assignments, uncertainty analysis tool development, and statistical analysis of assets to determine possible advance warnings for groups of assets that could have suspect reliability. This role will be driving the Reliability Management Board for calibrated inventory to review the reliability reassessment recommendations coming from various sources like analytical tools, reports from the ground, feedback from calibration technicians and so on. This position would apply expertise in statistics and reliability to the field of predictive and preventive maintenance through data analysis. The candidate will also be responsible to perform risk assessments such as FMEA, FTA, leveraging RCM principles for Boeing’s production system. The candidate would analyze maintenance data from CMMS to identify trends in production system performance, life cycle cost modelling. Use results to develop maintenance strategies to optimize uptime, reliability and achieve business goal. Influences use of mathematical tools and processes. Forecasts mathematical needs and capabilities to address business requirements. Designs, codes, tests and maintain mathematical software. This position will also be responsible for coordinating and communicating regularly with experts in Boeing organizations around the world. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience) A Bachelor’s degree or higher is required. Experience in DfR methodologies, with a strong focus on statistical and reliability modelling. Experience in reliability analysis of failure data such as Weibull, Exponential, PoF, Monte Carlo simulation. Proficient in Lifecycle data analysis, Cost modelling, Availability / Maintainability Modeling, with strong Reliability Engineering fundamentals Experience and knowledge in reliability management of metrology and measurement systems ensuring high reliability and maintainability. Strong background in reliability engineering methodologiesRCM, FMEA, FTA, and RCA Experience with predictive maintenance and prognostic health management techniques such as RUL estimation, conditioning monitoring alerts (AI and machine learning experience is a plus) Proficient with Reliability & Statistical analysis tools like Minitab, Mathematica, JMP, Tableau, Reliasoft Hands-on coding in Python/R/Matlab would be an added advantage Knowledge of failure modes of mechanical, electromechanical and electronic components Awareness of AS9100 or ISO9001 quality management system and ISO 17025 standard ASQ CRE certification will be added advantage Preferred Qualifications (Desired Skills/Experience) Bachelor’s/ Master’s Degree Typical Education & Experience Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of education and experience (e.g. Master+4 years' related work experience, 5+ years' related work experience, etc.). Relocation This position does offer relocation based on candidate eligibility within INDIA. Applications for this position will be accepted until Jun. 06, 2025 Export Control This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited toconducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

locationsMUMBAI, IND time typeFull time posted onPosted 4 Days Ago job requisition idR1147726 . Front ending the customer Driving CRAs to improve the efficiency Offers of employment are conditional upon passage of screening criteria applicable to the job.