11 Simulation Modeling Jobs

You should have a Bachelors or Masters degree from a reputable institution with good academic standing. The ideal candidate for this position should have 0 to 3 years of experience. MGT is currently looking for a dedicated engineer to join our R&D team. As an R&D engineer specializing in finite element analysis (FEA), your responsibilities will include: Generating FEA/simulation models of mechanical components, sub-assemblies, and systems. Analyzing static, dynamic, structural, and thermal-mechanical behavior under various operating conditions. Collaborating with the design team to enhance and optimize designs of current and future products based on FEA analysis. Proposing and implementing equipment characterization and test procedures to validate model results and assist in modeling efforts. Maintaining consistent modeling practices and contributing to the enhancement of simulation best practices within the organization. Assisting in root-cause analysis and troubleshooting technical challenges in conjunction with team members. Showing enthusiasm for learning simulation best practices from industry and academia and integrating them into your work. Contributing to the development of precision manufacturing machinery in India by engaging closely with other engineers. Requirements for this role include: Proficiency in the use of standard FEA software (such as Ansys, Altair, Abaqus, etc.) and understanding of FEA workflows. Strong fundamentals in solid mechanics, mechanics of materials, numerical methods, and engineering design. Experience with any CAD package for 3D design. Previous experience with CAD and FEA software tools. Practical experience in static, dynamic, and thermal-mechanical simulations on industrial or research problems. Effective verbal and written communication skills, with the ability to convey technical information to different audiences. A collaborative mindset to work with internal and external stakeholders in a high-paced environment to meet project milestones and deadlines. This position is located in Bangalore.,

As the leader of the Research and Development (R&D) team, you will be responsible for driving the conception and implementation of innovative business solutions in predictive and prescriptive analytics. You will be tasked with building capabilities, standards, and frameworks to facilitate the efficient and seamless adoption of predictive and prescriptive analytics and visualization within the organization. Active collaboration with academic institutions is encouraged, with a preference for candidates holding a PhD in Computer Science. Your role will require a good working knowledge of Big Data and NoSQL technologies, along with a deep understanding of statistical (regression analysis, cluster analysis, optimization techniques) and computational techniques (machine learning, natural language processing, graph or social network analysis, neural nets, simulation modeling). You should possess the skills to identify and apply the most appropriate techniques for different problem categories, as well as the ability to effectively communicate the business value to stakeholders. Proficiency in visualization techniques and tools, as well as familiarity with software development lifecycle methodologies, is essential. A passion for technology and innovation is key, with an emphasis on creating intellectual properties, patents, and conducting research on new and emerging technology trends. Additionally, you should demonstrate the ability to build and lead teams, coupled with excellent interpersonal and consulting skills. Key Skills required for this role include: - Text Analytics Tools: e.g., Open NLP, Stanford NLP - Machine Learning Tools: e.g., Mahout, Weka, R, RapidMiner - Real-time Stream Processing Tools: e.g., Storm - Enterprise Java - Knowledge of Perl, PHP, Ruby, Python, and JavaScript (Desirable) - Good understanding of Hadoop infrastructure The ideal candidate should hold a PhD in Computer Science or Applied Mathematics from a reputable institute, with specialization in a relevant area being a plus. A minimum of 15 years of relevant experience, including at least 7 years in a lead R&D role, is required to excel in this position.,

Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What Youll Bring Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience). 6-9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Location - Bengaluru,Gurugram,Noida,Pune.

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing) Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do: Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing. Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems in the pharmaceutical manufacturing, supply chain and operations management space and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You'll Bring: MS/PhD degree in Computer Science, Statistics, Operations Research, or related fields, with a focus on Optimization, plus 2-4 years of relevant post-PhD work experience in implementing solutions in Manufacturing, Supply Chain, Operations Management areas 6 - 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, nonlinear programming, and other optimization topics Experience with commercial solvers such as CPLEX, Gurobi, etc. preferred Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Relevant domain knowledge preferred; (healthcare life sciences / transportation/ hi-tech / insurance / retail); Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity.

About the Company: QpiAI is a world leader in Quantum and AI technologies, dedicated to building the most powerful Quantum computers in India. Job Description: As a Quantum Error Correction Research Lead at QpiAI, you will be spearheading research on Quantum error correction specifically tailored for QpiAI Qubits. This role requires you to engage in groundbreaking research in Quantum Error corrections, contributing to the advancement of Quantum computing technology. Job Requirements: - The ideal candidate should hold a PhD or Postdoc in Quantum error correction and Quantum theory. - Demonstrated track record of multiple publications on Quantum Error Correction (QEC). - Proficient in Surface codes and Quantum LDPC with a strong working knowledge. - Ability to collaborate effectively with the Quantum hardware team to implement Quantum error correction codes on FPGA. - Familiarity with various types of error correctable qubits. - Proficiency in providing simulation models of errors and error correction codes using Quantum modeling. - Collaborate with RTL design engineers to implement QEC decoders on FPGA. - Develop a roadmap for Fault-tolerant error-corrected Quantum computers in collaboration with peer Principal scientists. Join QpiAI in pushing the boundaries of Quantum computing through innovative Quantum error correction research and make a significant impact on the future of technology.,

Hiring for Simulation Prdocut Development Leader:- We are looking for candidates from virtual simulator prodcut development expertise from electrical systems background:- Degree in Engineering (Mechanical/Electrical/Computer Science) or equivalent Minimum Exp more than 15 years You'll lead and contribute to the development of Digital Training Solutions. Day-to-day, youll work closely withteams across the business (ISR Project Core Team, Rolling Stock Engineering Core Team, Service BidManagers), manage product development lifecycle, and much more. Procurement of components for simulators Collaborating with Digital Solutions teams to support Product and Technology Development Experience or understanding of product development/engineering lifecycle Knowledge of software development methodologies Familiarity with electrical or mechanical hardware design and implementation methods A certification in Project Management or Product Management (desirable) Technical knowledge of Rolling Stock systems and subsystems (desirable) Experience in modelling and simulation for equipment/vehicles (desirable) Exposure to Digital Technologies (AR/VR, software stacks, data analytics) and understanding Defining the Product Development Plan and Project Schedule Preparing and reviewing technical specifications and design documents Project monitoring and control, including customer and stakeholder management Supplier management from selection to project delivery

Role & responsibilities Passion towards working with different business units. Communicating with other team members and attending meetings. Building the simulation software model prototype and new features (proof of concept) is required for products. Ability to work with global team members and across geography. (Basic German Communication skills are an added advantage but its not mandatory). Attending the Networking Meeting is required to observe the software implementation in simulation & model. Build brief documentation and technical reports for the related software model. Design core software development of best industrial practice design observed from the Mentorship Meeting. Work benefits include exploring industrial real-time projects, verified standard certificates, stipends and regular mentorship meetings. Audit and gather experience of business operations in the industry. The internship program spans three months, providing a valuable opportunity for interns to develop their skills and gain hands-on experience. Preferred candidate profile Bachelors or Master or Doctorate in Computer Science, Engineering, Science, Physics, Mathematics or relevant discipline. Passion in software development and programming. Ability to work in Software development tools is an added advantage but not mandatory. Industry Tools: Microsoft Visual Studio, Jetbrains (Clion, PyCharm, IntelliJ), Eclipse, Netbeans, Jupyter (Nice to have atleast 2 standard industrial tools aforementioned) Good knowledge of Python Programming or C++ or Java is required. Passion for designing, developing and deploying the software. (Computing software like Matlab or Modelica is an added advantage but not mandatory).

Deliver end-to-end training : from basic video editing (Premiere) to advanced VFX (AE, Nuke, Houdini, Maya, etc.). Teach FX creation using tools like Houdini orUE Design curriculum, projects, and VFX showreels that match current industry standards. Assistive technologies Accessible workspace Performance bonus Sales incentives Annual bonus Referral bonus Leave encashment

a. Should be well versed with IVIVC concepts b. Should have excellent knowledge on product development and clinical studies. c. Should have hands on experience on operating various simulation tools necessary for IVIVC. d. Excellent communication skills are must.

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing) Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do: Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing. Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems in the pharmaceutical manufacturing, supply chain and operations management space and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You'll Bring: MS/PhD degree in Computer Science, Statistics, Operations Research, or related fields, with a focus on Optimization, plus 2-4 years of relevant post-PhD work experience in implementing solutions in Manufacturing, Supply Chain, Operations Management areas 6 - 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, nonlinear programming, and other optimization topics Experience with commercial solvers such as CPLEX, Gurobi, etc. preferred Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Relevant domain knowledge preferred; (healthcare life sciences / transportation/ hi-tech / insurance / retail); Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity.

Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What Youll Bring Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience). 6-9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Location - Bengaluru,Gurugram,Noida,Pune.