66 Applied Mathematics Jobs

You will be joining Exact Sun India, a company specializing in providing mechanical, structural, and electrical design services, as well as installation solutions for industrial and residential clients. The company's primary focus is on delivering clean and sustainable energy solutions through solar power. At Exact Sun, we strive for excellence by leveraging cutting-edge technology and data-driven metrics to exceed customer expectations. As a Professor of Mathematics based in Noida, you will hold a full-time on-site position. Your responsibilities will include teaching both undergraduate and graduate students, developing and updating curriculum, engaging in research within relevant fields, and collaborating with fellow faculty members on academic initiatives. Additionally, you will be expected to advise students, evaluate assignments, and stay abreast of developments in mathematics and related disciplines. To excel in this role, you should possess a strong foundation in Mathematics and Applied Mathematics, along with proficiency in fields like Physics and Statistics. Experience in Curriculum Development, exceptional teaching and communication skills, and the ability to conduct research and scholarly activities are also essential. While a Doctoral degree in Mathematics or a related field is preferred, candidates with equivalent experience and expertise will also be considered.,

Are you passionate about harnessing the power of artificial intelligence to transform decision-making under uncertainty Do you aspire to develop innovative algorithms that can offer robust and reliable recommendations for critical real-world problems If your academic ambitions lie at the intersection of symbolic AI, optimization, and statistical reasoning, this PhD position at TU Delft could be your gateway to cutting-edge research and impactful career opportunities. Strong and confident decision-making is at the core of many societal and engineering challenges today. Yet, the complexity and uncertainty inherent in real-world systems often make it difficult to ascertain which variables truly influence outcomes. This PhD project invites you to leverage advanced combinatorial and algorithmic methods to identify these critical parameters, thus enabling more robust, data-efficient, and reliable decision-making processes. Delft University of Technology (TU Delft) is one of Europe's premier technical universities, renowned for its pioneering research, high-impact innovation, and vibrant academic community. Located in the historic city of Delft, the university boasts a strong tradition in engineering, science, and design, with a global reputation for excellence. TU Delft has been at the forefront of groundbreaking advancements, from the world-famous Dutch waterworks to state-of-the-art biotech and digital technologies. As a PhD candidate at TU Delft, you will join a diverse and international research environment, collaborating with leading experts and contributing to solutions for some of society's most pressing challenges. The focus of this PhD position is on Symbolic AI and Reasoning Under Uncertainty, with a particular emphasis on sensitivity analysis for decision-making models. In contemporary applications, algorithms generate recommendations based on complex models with numerous input parameters. However, determining which of these inputs genuinely drive the outcomes is crucial for resource allocation, contingency planning, and ensuring the robustness of decisions. Traditional sensitivity analysis often relies on computationally intensive simulations, which may overlook significant variables. This project proposes a paradigm shift: employing logic-based and structural methods to formally identify critical parameters. By exploiting the structure of logic problems, the research aims to deliver formal guarantees on robustness, reduce computational costs, and improve the reliability of decision-support systems. This approach holds immense promise for fields such as engineering, policy-making, and societal infrastructure, where robust and explainable AI is essential. As a PhD candidate, you will be part of the Algorithmics section within the Software Technology (ST) department at TU Delft, collaborating closely with the Statistics section of the Delft Institute of Applied Mathematics (DIAM). The project is supervised by a distinguished team: dr. ir. Sicco Verwer (promotor), dr. Fabian Mies, and dr. Anna Latour (co-promotores). Your research will build upon and expand knowledge in modeling and solving paradigms such as Boolean Satisfiability, Constraint Programming, and Mixed-Integer (Linear) Programming. You will also develop methods for reasoning about discrete probability distributions, sampling complex spaces, and statistical analysis. The role involves collaboration with other researchers and software engineers to create practical tools for both academic and societal stakeholders. You will disseminate your findings through publications and presentations at leading conferences and journals, providing excellent opportunities for international networking and professional growth. The Algorithmics section is a dynamic, diverse environment where PhD and postdoc researchers work together on theoretical and algorithmic contributions to intelligent decision-making. The group addresses challenges including scalability, model learning for planning and verification, and the integration of stakeholder preferences into algorithmic processes. TU Delft's interdisciplinary ecosystem further enhances your research experience, with opportunities to engage in cross-faculty initiatives addressing topics such as climate change, energy transition, and artificial intelligence. Applicants should possess a Master's degree in Computer Science, Operations Research, or a related field (required by the Graduate School of TU Delft), proficiency in the English language, demonstrable knowledge of reasoning paradigms such as Boolean Satisfiability, Constraint Programming, or Mixed Integer (Linear) Programming, programming skills in languages such as Java, Python, or C++, solid understanding of statistics and probability theory, excellent critical and analytical thinking skills, a proven record of and interest in further developing research skills, including self-organization, academic writing, and a critical attitude, strong enthusiasm for state-of-the-art algorithmic and optimization techniques, especially their application to decision-making, affinity for teaching and mentoring students, and ability to work effectively in a team and take initiative. This position is ideal for candidates who are passionate about symbolic AI, optimization, statistical reasoning, and who are eager to contribute to the advancement of robust decision-making methodologies. If you are driven to make a meaningful impact on decision-making methodologies and thrive in a collaborative, interdisciplinary environment, we encourage you to apply for this PhD position at TU Delft.,

Are you passionate about solving logical problems and working through challenging math Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). Youll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like Youll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. Youll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero Eligibility: Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of Time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the worlds fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the worlds leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models. Show more Show less

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 555 times 555 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3 How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1 These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background : Strong background in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills : Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills : Clarity in explaining complex topics and providing feedback with precision. Research Independence : Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the worlds fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the worlds leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academicindustry hybrid setting. Show more Show less

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 555 times 555 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3 How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1 These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background : Strong background in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills : Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills : Clarity in explaining complex topics and providing feedback with precision. Research Independence : Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the worlds fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the worlds leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academicindustry hybrid setting. Show more Show less

The position requires a candidate with a background in Applied Mathematics, holding an M.Sc. in Mathematics or B.Ed. from an institution recognized by NCTE. The application process involves the following steps: 1. Fill in the application form with all required details. 2. Scrutiny of the application form and verification of documents. Candidates must attach their resume with a current photo and self-attested photocopies of all relevant documents. 3. Take a written assessment comprising General Aptitude, Teaching Aptitude, and Subject Specific Assessment. 4. Candidates scoring 80% and above will proceed to a demo scheduled at a mutually agreed time. 5. Successful candidates in the demo will have a final interview with the Principal to discuss the job profile, terms and conditions of employment, and remuneration. 6. Selected candidates will receive an offer letter and must confirm their employment within 24 hours from the date of issue. 7. An appointment letter will be issued on the first day of joining PICT Model School. Failure to report to duty on the first day without prior notification will result in the cancellation of the appointment. List of documents required: - School Leaving Certificate - Pass Certificate & Mark Sheet of Grade 12 - Pass Certificate & Mark Sheet of Graduation / Highest examination passed - Pass Certificate & Mark Sheet of B.Ed. - Pass Certificate & Mark Sheet of statutory training for Language Teaching, if applicable - Appointment order / document stating the current remuneration and post held - PAN Card - Aadhar card - Residence Proof (if residing in own house else rent agreement) - Relieving Order from the current organization - Testimonials from previous employers - Any other relevant document Candidates are advised to make a prior appointment and bring one set of self-attested photocopies of the mentioned documents. Originals will be required for verification. The entire procedure may take at least half a day. For further queries, candidates may contact the Help Desk at (020) 66806300.,

We are seeking a highly experienced C++ Dev Lead to create scalable, dynamic, highly interactive, and user-friendly software solutions. Your role will involve contributing to the development of our innovative clinical development product suite, which assists customers in designing, modeling, and simulating complex clinical trials. This suite aims to enhance the success rate of trials and expedite time to market, providing significant value to sponsors and patients. A crucial element of our software products is the proprietary engine components that implement advanced statistical and mathematical algorithms, such as simulations of complex adaptive trials, for both cloud-hosted and on-premise solutions. As an Engine Dev Lead, your responsibilities will include developing engines in languages like C++, R, or Python, managing a cross-functional team throughout the software development life cycle, and leading junior developers. You will collaborate with various teams to ensure the successful implementation of statistical and mathematical algorithms, design backend computational modules, maintain code quality, and lead a Scrum project team to deliver projects efficiently. Key Responsibilities: - Implement statistical/mathematical algorithms in C++ for on-premises or cloud-hosted applications - Collaborate with developers, architects, UX designers, and product managers to ideate software solutions - Design backend computational modules, maintain design artifacts, and ensure testability - Maintain code quality and high performance through regular code reviews and refactoring - Conduct automated unit testing, follow coding guidelines, and participate in design discussions - Lead a Scrum project team, guide junior developers, and ensure adherence to SDLC processes - Monitor and manage project risks, make technical presentations, and stay updated on industry trends Qualifications: - Minimum 10 years of C++ programming experience with strong knowledge of OOAD principles - Proficiency in Applied Mathematics, algorithmic computing, and strong analytical skills - Experience in developing high-performance applications and familiarity with Agile frameworks - Strong communication skills, self-driven with problem-solving abilities, and a degree in Computer Science or related field Optional Skills: - Familiarity with Jira, Confluence, Python, R, C#.NET, and cloud platforms - Experience in scientific graphics, microservices, REST APIs, and databases - Knowledge of statistical/scientific software and versioning tools If you meet the qualifications and are excited to lead a team in developing cutting-edge software solutions, we encourage you to apply.,

Lumenci is a legal tech startup founded by a group of IIT alumni in the US. Our mission is to transform the legal and intellectual property industry in the US & Europe with groundbreaking products and services. We are currently looking to build an exceptionally strong technical team in Gurugram, India, to help us deliver high-quality products and services to our clients. We are seeking self-driven, gritty, and technology enthusiasts. If you are curious about technology, enjoy working in a high-growth startup, hands-on with gadgets, and keep up with the next big thing in Tech - you might be a great fit. Your responsibilities will include providing technology consulting services to law firms and corporates, understanding underlying technologies to analyze patent portfolios, and helping solve clients" core technical queries. You will be involved in conducting research & analysis, product development, explaining complex technology matters to non-technical audiences, and identifying patent infringement using various methods. We expect you to have strong fundamentals in telecom, software architecture, high-scale computing, computer security, cryptography, databases, and/or applied mathematics. You should be familiar with products, services, and standards in web, mobile, enterprise, media, etc. Excellent verbal and written communication skills, proficiency in technical research, critical thinking abilities, and the capacity to work under tight deadlines with minimal supervision are key skills we are looking for. In return, we offer a performance-driven compensation package, rapid career growth opportunities, and a work environment that values customer satisfaction, quality, ownership, collaboration, and a growth mindset. At Lumenci, we believe in putting customers first, taking ownership of our work, collaborating effectively, and fostering a growth mindset to adapt to changing needs of a dynamic high-growth company. Join Lumenci in Gurgaon and be a part of the technology industry's most strategic patent monetization partner. We work with a wide variety of technologies including hardware and software, telecom, networking, and biotech technologies. From ideation to monetization, we illuminate the way for our clients by combining technology domain expertise with strategic industry connections. If you are passionate about technology, innovation, and making a real impact, we invite you to apply and become a part of our dynamic and growing team at Lumenci.,

We are excited to announce two openings for Research Assistants or Pre-Doctoral Fellows, jointly hosted by the Department of Computer Science and Automation and the Department of Electrical Communication Engineering at the Indian Institute of Science (IISc). These positions are well-suited for motivated individuals interested in advancing foundational research in machine learning, statistics, and applied probability. Supervisors : Successful candidates will be jointly supervised by Prof. Shubhada Agrawal (Department of Electrical Communication Engineering) and Prof. Anant Raj (Department of Computer Science and Automation) at the Indian Institute of Science (IISc). The successful candidate will benefit from: -Collaboration with leading researchers. -Opportunities for publication in top-tier machine learning venues. -Strong letters of recommendation for future academic pursuits. Qualifications: -A robust academic background in applied mathematics, statistics, optimization, or computer science. -Prior research experience in theoretical machine learning is preferred but not mandatory. Position Details : Duration : 1-2 years (renewable) If you are passionate about advancing the field of machine learning, I encourage you to apply by filling out this form: https://forms.cloud.microsoft/r/49NpErjnTU Qualifications A robust academic background in applied mathematics, statistics, optimization, or computer science. -Prior research experience in theoretical machine learning is preferred but not mandatory. Show more Show less

Welcome to Dhaumya Academy, the premier NEET and JEE coaching institute located in Gurugram. At Dhaumya, we provide structured guidance and disciplined learning to help ambitious students excel in medical and engineering entrance exams. Our expert faculty, proven methodologies, and cutting-edge resources ensure every student receives the best possible preparation. Dhaumya Academy is offering an on-site full-time opportunity for the position of JEE Mathematics Lecturer at our Gurugram campus. This role is ideal for individuals who are passionate about mathematics and eager to gain hands-on experience in the field of competitive exam coaching. Key Responsibilities: - Teach and mentor students preparing for the JEE examination in Mathematics - Design and develop curriculum and learning materials aligned with the latest JEE syllabus - Incorporate statistical and analytical approaches into problem-solving and teaching methodology - Prepare and evaluate practice tests, assignments, and assessments - Provide academic support through doubt-clearing sessions and one-on-one interactions Qualifications: - Applied Mathematics and Mathematics skills - Experience in Curriculum Development and Teaching - Strong background in Statistics - Excellent communication and presentation skills - Ability to mentor and motivate students - Master's degree in Mathematics or related field,

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 555 times 555 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3 How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1 These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background : Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills : Clarity in explaining complex topics and providing feedback with precision. Research Independence : Ability to work independently in a remote research environment and participate actively in team discussions.. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the worlds fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the worlds leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academicindustry hybrid setting. Show more Show less

Job Description Summary The role entails advanced software development for Power Systems Applications, with a focus on delivering specific functionalities to meet corporate project and product objectives. Responsibilities include collaborating with team working with Electric Utilities or Independent System Operators (ISOs) and Transmission and Distribution System Operators to develop functional software specifications, followed by designing, coding, testing, integration, application tuning, and delivery Job Description Roles and Responsibilities As a senior member of the Software Center of Excellence, exemplifying high-quality development, testing, and delivery practices. Responsible for enhancing, evolving, and supporting high-availability Electricity Energy Market Management System (MMS). Responsible for development, testing, integration, and tuning of advanced Power Systems Application software to fulfill project and product commitments. Develop and evolve software in a dynamic and agile environment using the latest technologies and infrastructure. Provide domain knowledge and/or technical leadership to a team of electricity markets application software engineers. Support in providing budget estimates for new project tasks to project leads and managers. Collaborate with customers throughout the project lifecycle to ensure software quality and functionality meet standards and requirements. Interact with Product Development Teams, Customers, Solution Providers, and cross-functional teams as needed. Apply SDLC principles and methodologies like Lean/Agile/XP, CI, software and product security, scalability, and testing techniques. Provide maintenance of power systems application functionality, including code fixes, creating tools for model conversion, documentation, and user interfaces. Support marketing efforts for proposals and demonstrations to potential customers. Basic Qualification Masters degree in Electrical Power Systems with thesis or related work in power systems 5 to 8 years of experience in development or project delivery, preferably in Power Systems Analysis, Security Constrained Unit Commitment and Economic Dispatch using Mixed Integer Programming (MIP)/Optimization, or Applied Mathematics and Operations Research. Desired Characteristics Continuous improvement mindset; drives change initiatives and process improvements Highly organized and efficient; adept at prioritizing and executing tasks. Experience in the power systems domain. Proficiency in testing and test automation. Strong knowledge of source control management, particularly GitHub. Demonstrated ability to learn new development practices, languages, and tools. Self-motivated; able to synthesize information from diverse sources. Continuously measures the completion rate of personal deliverables and compares them to the scheduled commitments. Transparent in problem-solving approaches and options; determines fair outcomes with shared trade-offs. Capable of defining requirements and collaborating on solutions using technical expertise and a network of experts. Effective communication style for engaging with customers and cross-functional teams; utilizes product knowledge to mitigate risks and drive outcomes. Strong verbal, written, and interpersonal communication skills; able to produce professional and technical reports and conduct presentations. Innovates and integrates new processes or technologies to add significant value; advises on change cost versus benefits and learns new solutions to address complex problems Additional Information Relocation Assistance Provided: Yes Show more Show less

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 555 times 555 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3 How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1 These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background : Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills : Clarity in explaining complex topics and providing feedback with precision. Research Independence : Ability to work independently in a remote research environment and participate actively in team discussions.. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the worlds fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the worlds leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academicindustry hybrid setting. Show more Show less

Company Description FACE Prep is one of India&aposs largest placement-focused skill development companies for job preparation. Since its inception in 2008, FACE Prep has helped millions of students kickstart their careers in the tech sector. We offer a variety of programs, including masterclasses, self-paced preparatory courses, and workshops/bootcamps to equip students with the skills needed to secure top-paying jobs in technology. Our distinguished alumni work at leading tech companies worldwide such as Google, Microsoft, Meta, Adobe, PayPal, Amazon, and more. Role Description This is a full-time, on-site role for a Professor of Mathematics, located in Chennai. The Professor of Mathematics will be responsible for delivering lectures and coursework in Mathematics, Applied Mathematics, Physics, and Statistics. The professor will also participate in curriculum development, create educational materials, and provide academic support to students. The role involves preparing and giving assessments, conducting research, and contributing to the intellectual and academic life of the institution. Qualifications Strong knowledge and proficiency in Mathematics, Applied Mathematics, Physics, and Statistics Experience in Curriculum Development Excellent instructional and communication skills with a passion for teaching Proven research capabilities in relevant fields PhD or UGC NET cleared Ability to work on-site in Tirupati Experience in the tech sector or knowledge of tech industry requirements is a plus Show more Show less

Summary Independently lead Data or Data Science and AI global initiatives part of the overall Enterprise and Divisional Data or Data Science Strategy to contribute solving unmet medical needs, in collaboration with various stakeholders. -Role model a culture of analytical and data driven decision making and data/data sciences across Novartis leadership in research, development, commercial, manufacturing and support functions. -Deep technical experts with key accountability for a significant project, business activity. -Shape future direction for own part of the organization based on the overall organization strategy provided by business leadershipIf managing a team: empowers the team and provides guidance and coaching. About The Role Major accountabilities: Develops and executes roadmap for the team to innovate in multiple business verticals by transforming the way to solve a problem using Effective data management, Data Science and Artificial Intelligence. Strategically coordinates, prioritizes and efficiently allocates the team resources to critical initiatives: plans resources proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and enable the team to drives issues to resolution, balances multiple priorities and minimizes surprise escalations -Design, develop and deliver various data science based insights, outcomes and innovation (using mathematics, computer science, statistics, engineering, management science, technology, economics, etc.) and create proof of concepts and blueprints to drive faster, timely, highly precise, workable and proactive decision making based on data based insights and science and shape strategic glidepath of the company. Design, develop and deliver various master data, data governance, data quality initiatives to drive the business priorities, scale foundational capabilities to support data science initiatives as well as the data driven decision making -Selection of innovative methods including machine learning, deep learning, other cognitive computing methods and artificial intelligence -Exploratory analytics to identify trends, patterns or process drivers -Support of User Experience Design and development of advanced analytics products -Collaborates with globally dispersed internal stakeholders, external partners and Institutions and cross-functional teams to solve critical business problems, drive operational efficiencies and innovative approaches, -Provides expert input into strategy for their Business Partners -Proactively evaluates the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the Novartis data sciences practices -Provides agile consulting, guidance and non-standard exploratory analysis for unplanned urgent problem -Acts as a catalyst for innovation in Data management, Data Science and AI -May lead a Team / Function or indepth technical expertise in a scientific / technical field depending upon the career path (Manager/Individual contributor) -Coaches and empowers junior Data professionals and Data Scientists across Novartis. Contribute to the development of Novartis data management and data science capabilities -Distribution of marketing samples (where applicable) Essential Requirements 10+ years of relevant experience in Data Science. Desirable Skills Applied Mathematics. Artificial Intelligence (Ai). Aws (Amazon Web Services). Big Data. Building Construction. Cloud (Computing). Computer Science. Data Governance. Data Literacy. Data Management. Data Quality. Data Science. Data Strategy. Electrical Transformers. Machine Learning (Ml). Master Data Management. Professional Services. Python (Programming Language). R (Programming Language). Random Forest Algorithm. Statistical Analysis. Time Series Analysis. Youll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [HIDDEN TEXT] and let us know the nature of your request and your contact information. Please include the job requisition number in your message Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways well help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards 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.

Role & responsibilities Understanding of algorithms and mathematical modelling. Candidate should have passion for writing and reviewing content of manuscripts, Research articles in Mathematics Work will involve developing research proposal in Mathematics and working with technical team (software) for mathematical modelling using equations Working knowledge in Graph theory, probability theory, algorithms and software development techniques and languages used to implement classification algorithms Technical consulting related to algorithm designing and concept framing. Research Consultant for setting up of hypothesis, research design, client discussions Strong mathematical knowledge with ability to formulate mathematical modelling. Knowledge in Latex would be an added advantage Preferred candidate profile We are currently seeking a candidate who has an experience in the field of academic research and exceptional knowledge in Mathematics/Applied Mathematics. He/she must possess a good knowledge of academic research terminologies and structure. Perks and benefits Grocery coupons.

The role of Physics and Maths Faculty at Bright Future Academy in Dhanbad is a full-time on-site position catering to IIT JEE/NEET exams. As a faculty member, you will be responsible for developing and delivering high-quality lessons in Physics and Mathematics. Your duties will include creating customized curriculum plans, evaluating student progress, and preparing students for competitive exams using interactive teaching methods. Additionally, you will offer academic support, guidance, and contribute to the institution's academic excellence. Participation in meetings, professional development activities, and collaborative projects is also expected. To excel in this role, you should possess expertise in Mathematics, Applied Mathematics, and Statistics. A strong understanding of Physics and its relevance to competitive exams is essential. Experience in Curriculum Development, excellent communication skills, and the ability to motivate and inspire students are key requirements. A Master's Degree or higher in Physics, Mathematics, or a related field is necessary. Prior experience in teaching at the secondary or competitive exam level is preferred, demonstrating a commitment to academic excellence and continuous improvement.,

The Transportation Modeler / Blue Yonder TMS Specialist plays a crucial role in leading transportation modeling initiatives to ensure alignment with business objectives and system capabilities. By managing and maintaining master data, collaborating with cross-functional teams, and supporting deployment activities, you will contribute to the optimization of transportation networks. Your responsibilities will involve conducting detailed analytics, providing training, and driving continuous improvement efforts. You will lead transportation modeling efforts using Blue Yonder TMS and historical data to evaluate various improvement strategies for targeted markets. This includes exploring alternative modes/carriers, hub consolidation approaches, fleet optimization, and delivery models. Collaborating with Sector/Market leaders, you will develop initiative roadmaps based on modeling outcomes and support new deployments and system upgrades. Analyzing modeling results will be a key aspect of your role, where you will assess fleet sizing, mode shifts, and customer routing optimization. Additionally, you will be responsible for developing datasets, generating reports, and presenting technical transportation insights to stakeholders. Your ability to communicate data insights effectively and utilize tools like Tableau and Power BI will be essential. To excel in this role, you should be fluent in English and possess 9-12 years of experience in transportation modeling, logistics, and supply chain optimization, with at least 4-6 years in a CPG environment. A Master's degree in Supply Chain Management or a quantitative field is required, along with proficiency in TMS tools, data mining, and data analysis. Your demonstrated experience in communicating data insights and collaborating with stakeholders will be critical for success in this position.,

1.Familiar with CVXPY, NumPy, Flash, Pandas , Python 2.Should be Experienced with Linear Equations / Algorithms 3.AI / ML Techniques Used Required Candidate profile 1.Ability to understand scenarios that are complex and create mathematical models to solve them using the packages stated herein.

You will be responsible for understanding complex and critical business problems and formulating an integrated analytical approach to mine data sources. Your role will involve employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes to reduce effort and time for repeated use. You will manage the implementation and adherence to the overall data lifecycle of enterprise data, from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its lifecycle. Your high agility will allow you to work across various business domains effectively. Additionally, you will integrate business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will independently manage budgets, ensure appropriate staffing, and coordinate projects within the area. If you are managing a team, you will empower the team, provide guidance and coaching, with initial guidance from more senior leaders supervised. This role may be your first people manager experience. In this role, your major accountabilities will include project managing your tasks, collaborating with allied team members, and proactively planning and managing change. You will work with internal stakeholders, external partners, and cross-functional teams to solve critical business problems. Understanding life science data sources, researching and co-developing new algorithms, methods, statistical models, and business models will also be part of your responsibilities. You will quickly learn to use tools, data sources, and analytical techniques needed to answer a wide range of critical business questions. Supporting the evaluation of technology needs, proposing research articles for application to business problems, developing automation for data management, and articulating solutions to business users will be key aspects of your role. Furthermore, you will work with senior data science team members to present analytical content concisely and effectively, provide understandable and actionable business intelligence for key stakeholders, and may lead a small team or provide in-depth technical expertise in a scientific/technical field, depending on your career path. Reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt, as well as distribution of marketing samples, may also be required. Your key performance indicators will include the achievement and governance endorsement of data management and advanced analytics program tollgates, as well as successful implementation based on KPIs and program objectives. Minimum Requirements: - In-depth mastery of the external environment and trends. - 15+ years of relevant experience in Data Science. - 2+ years of relevant experience in Data Science. - Track record delivering global solutions at scale. - Strong professional network across Academia. Required Skills: - Apache Hadoop. - Applied Mathematics. - Big Data. - Curiosity. - Data Governance. - Data Literacy. - Data Management. - Data Quality. - Data Science. - Data Strategy. - Data Visualization. - Deep Learning. - Machine Learning (ML). - Machine Learning Algorithms. - Master Data Management. - Proteomics. - Python (Programming Language). - R (Programming Language). - Statistical Modeling. Language: - English. Novartis is dedicated to helping people with diseases and their families by fostering a community of smart, passionate individuals like yourself. By collaborating, supporting, and inspiring each other, we aim to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future, you can learn more about our values and culture at [Novartis Careers](https://www.novartis.com/about/strategy/people-and-culture).,

As an Assistant Professor in Mathematics at Creanovation Technologies Pvt. Ltd. (CTPL), your primary responsibility will be to teach courses in Mathematics, Applied Mathematics, Physics, and Statistics. You will play a crucial role in developing curriculum materials, conducting research, and guiding students through their academic journey. It is essential to stay updated with the latest educational tools and methods to create an enriching learning environment for the students. To excel in this role, you must demonstrate proficiency in Mathematics and Applied Mathematics, along with a sound knowledge of Physics and Statistics. Experience in curriculum development is highly valued, and excellent written and verbal communication skills are essential for effective interaction with students. Your ability to engage and inspire students will be pivotal in fostering a conducive learning atmosphere. The ideal candidate for this position should hold a Master's or Ph.D. in Mathematics, Applied Mathematics, Physics, Statistics, or a related field. Previous teaching experience would be advantageous, and a strong research background with a publication record is desirable. Join us in our mission to drive the digital transformation of the higher education ecosystem and empower colleges and universities with innovative EdTech solutions.,

As a Data Scientist at Buckman, a global specialty chemical company headquartered in Memphis, TN, USA, you will play a crucial role in leading the development of a Data Science program. You will collaborate closely with Buckman stakeholders to leverage deep industry knowledge across various sectors such as paper, water, leather, and performance chemicals. Your responsibilities will include formulating a data strategy for the organization, encompassing data collection, creation of a data science project portfolio, collaboration with external partners, and enhancing internal capabilities through strategic hiring. Moreover, a significant aspect of your role will involve engaging with key stakeholders and subject matter experts to drive proofs of concept projects that showcase the innovative application of data science in addressing longstanding challenges in unique ways. Given the initial lack of a substantial internal team, your individual expertise, comprehensive knowledge of data science, and ability to collaborate with external entities will be essential for achieving success. In addition to tackling data science challenges, you will closely collaborate with a diverse team comprising sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in developing and implementing IoT solutions. The ideal candidate for this role should hold a Bachelor's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science, along with a minimum of 7 years of relevant experience in an analytical role involving data extraction, analysis, and visualization. Preferred qualifications include a Master's or PhD degree in a quantitative field, experience in the specialty chemicals sector or similar industries, background in engineering (especially Chemical Engineering), experience in initiating data science programs, working with global stakeholders, and familiarity with start-up environments, particularly in IoT companies. Proficiency in quantitative modeling tools and statistical analysis is also desirable. To excel in this role, you should demonstrate a strong business acumen, a proactive approach to delivering data science solutions with real-world impact, effective collaboration skills with diverse team members, adeptness in communicating with varied stakeholders, robust planning and organizational abilities to manage complex projects, and a commitment to continuous learning and skill enhancement. If you are passionate about driving digital transformation, sustainability initiatives, and data-driven innovation in a dynamic work environment, Buckman offers an exciting opportunity for you to leverage your expertise and contribute to the company's strategic goals. Join us in our mission to deliver exceptional service and innovative solutions to customers worldwide.,

You will be joining a fast-growing K-12 education group that operates premium CBSE schools in India. Your role as a PGT Mathematics Teacher will involve providing instruction to senior-secondary students (Grades 11-12), focusing on cultivating analytical thinking, exam readiness, and integrating modern pedagogies and digital resources. Your responsibilities will include designing and delivering engaging Mathematics lessons aligned with CBSE and competitive-exam standards, developing yearly and unit plans, digital resources, and differentiated worksheets to cater to diverse learning needs. You will also administer formative and summative assessments, analyze results to drive targeted remediation and enrichment, coach students for JEE/NEET and Olympiad examinations, and maintain disciplined, inclusive classrooms through positive behavior strategies and parental communication loops. Additionally, you will contribute to math clubs, STEM fairs, and faculty development initiatives to enhance the academic culture. The must-have qualifications for this role include a Masters in Mathematics or Applied Mathematics with B.Ed., a minimum of 3 years of teaching experience in Grades 11-12 within a CBSE/ISC setting, a proven record of achieving 90%+ board exam pass rates or successful competitive-exam coaching, fluency with smart-class tools, GeoGebra, and assessment software, as well as excellent English communication and classroom management skills. Preferred qualifications include CTET or State TET qualification, experience with flipped or blended learning models, and participation in CBSE evaluation or question-paper setting. In return, you can expect a competitive salary with performance bonuses, fully funded professional development and certification programs, and the opportunity to be part of a supportive, innovation-driven academic community. If you are passionate about empowering the next generation of problem solvers and making a lasting impact, apply now to join this institution.,

Vimaan is looking to onboard multiple Machine Learning Engineers in Bengaluru, India to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large-scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The ideal candidate for the Machine Learning Engineer position should have an MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. They should possess hands-on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, as well as representational learning with varying amounts of data. Knowledge of current deep learning literature and the mathematical foundations of machine learning is essential. Experience with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN is considered a plus. The candidate should have the ability to train and debug deep learning systems, gain deep insights into data characteristics, and map those to appropriate model architectures. Experience working with inputs from multiple cameras and input modes is advantageous, as is experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization, and training and deploying deep learning models on GPU-accelerated platforms. Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch, etc., are required. Prior experience in deploying machine learning models in production environments, working with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data pre-processing, augmentation, and visualization tools and libraries are necessary. The ideal candidate should be highly motivated, passionate, possess a strong work ethic, and be able to work effectively in a team or independently under supervision in a matrix management environment. Effective communication skills, problem-solving abilities, attention to detail, and a passion for staying at the forefront of technology advancements in machine learning and computer vision are key attributes. They should be able to work in a fast-paced, high-pressure startup environment, adapt to rapidly changing requirements, and convey complex technical concepts to non-technical stakeholders. The Machine Learning Engineer will be responsible for researching, designing, and developing machine learning algorithms and models for various tasks of detection, recognition, and classification for warehouse inventory management. They will implement and optimize deep learning architectures, explore techniques like transfer learning and data augmentation, guide annotation teams, curate and pre-process annotated datasets, collaborate with MLOps for integrating machine learning models into production systems, and conduct thorough performance analysis and evaluation of models using appropriate metrics and tools. It is essential for the Machine Learning Engineer to stay up-to-date with the latest advancements in machine learning and computer vision research and integrate relevant findings into the solutions developed at Vimaan. ABOUT VIMAAN Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists, as well as warehousing domain experts with a successful history in technology startups. Vimaan's primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy, and quality challenges in the supply chain.,