7 Numerical Simulation Jobs

Looking for a challenging role If you are eager to make a difference, Siemens Energy offers you the opportunity to energize society and combat climate change simultaneously. At Siemens Energy, technology plays a crucial role, but it is our people who truly drive change. Innovative minds at Siemens Energy connect, create, and steer us towards revolutionizing the world's energy systems. The spirit of our employees fuels our mission. Our culture at Siemens Energy is characterized by individuals who are caring, agile, respectful, and accountable. We value excellence in every aspect. If these qualities resonate with you, Siemens Energy India Limited is looking for a responsible, professional, and self-motivated individual to join the Gas Turbine R&D team in Gurgaon as a Hot Gas Path - Turbine Aerodynamics Engineer. This role presents an exciting opportunity to work in a dynamic, fast-paced global product development environment. As an aerodynamic turbine designer, your role is pivotal in designing and optimizing turbine airfoils and diffusors to enhance turbine performance. Your responsibilities include designing and analyzing new components/airfoils, upgrading existing components, predicting component performance under varying conditions, providing customer support, and addressing non-conformance reports from manufacturing. You will utilize a range of tools and methods such as 1D, 2D, and 3D approaches to make informed decisions and find solutions for complex design tasks. Collaboration with colleagues from different disciplines is essential to develop a design that meets project requirements for performance, lifetime, and costs. Tasks also involve conceptual design, failure mode evaluation, root cause analysis, detailed aerodynamics analysis, report writing, and participation in key technical reviews. A deep understanding of fluid dynamics, aerodynamics, and thermodynamics fundamentals is crucial for this role. Knowledge of Aeroelasticity/Aeromechanics, Heat Transfer, and structural integrity field is beneficial. Additionally, you will support manufacturing, qualification, and field-testing aspects post final design review to validate the product. Effective communication skills are essential for regular interaction with global teams. The ideal candidate will have a Master's degree in Mechanical or Aerospace engineering with a focus on Aerodynamics, Fluid dynamics & Thermal Science. A minimum of 4 years of relevant experience in Aerodynamics design & analysis of axial turbomachinery is required. Proficiency in CFD codes, meshing tools, optimization tools, CAD software, programming skills, and familiarity with FE codes and general-purpose FEA tools is expected. Experience in providing technical support to other functional areas, machine learning, SAP, and Teamcenter PLM is advantageous. Strong interpersonal skills, adaptability, willingness to learn, effective communication, and alignment with organizational values are crucial for success in this role. If you are looking for an opportunity to work in a diverse and innovative environment impacting the future of energy systems, Siemens offers you a platform to collaborate, learn, and grow. Join us in shaping tomorrow with your curiosity and imagination.,

We are seeking a motivated and detail-oriented intern to join our team as a Battery Modeling & Simulation Engineer In this role, you will support the development of physics-based electrochemical models for lithium-ion batteries using COMSOL Multiphysics Your work will contribute to a deeper understanding of battery behavior under various operating conditions, including temperature fluctuations, and dynamic environments This internship offers a valuable opportunity to gain hands-on experience with COMSOL and other simulation tools, while contributing to innovative advancements in energy storage technology Job Responsibilities Support the development of physics-based electrochemical models for lithium-ion batteries using COMSOL Multiphysics Assist in creating virtual models of battery cells to evaluate their performance, durability, and safety under various conditions Simulate how battery cells respond to mechanical forces, motion, temperature variations, and other environmental factors Analyze simulation results to identify trends, validate findings, and enhance model accuracy Work closely with cross-functional team members to interpret data and contribute to model improvement strategies Skills MUST-HAVE SKILL SET COMSOL Numerical Simulation 3D-Modeling Problem Solving CFD1D-Simulation

Job Description Summary Engine Dynamics is a critical domain for aircraft engines as it impacts the entire product life cycle of the engine, starting with conceptual design through product design/certification and field support. The main purpose of the engine dynamics team is to develop a rotor dynamically stable engine ensuring safety & reliability while finding an optimal balance between performance, weight & cost. This team is critical to realizing GE Aerospaces noble vision in developing next generation RISE (Revolutionary Innovation for Sustainable Engine) engines. The main responsibilities for this role include, but are not limited to, leading multiple project teams to solve business critical problems by performing accurate rotordynamic analyses serving internal/external customers, lead/provide inputs towards technology maturation, champion advancement of state of the art in predictive methods and drive collaboration across multiple teams, organizations & global sites to share knowledge base. Role Overview: Formally lead team on complex technical problems/programs in the area of vibe test/cert support, and developing vibe model correlations for structural and rotor dynamics Support vibe endurance, block test and responsibility on some of the development/ compliance engine test daily trending/health monitoring Initiate/lead continuous improvement strategy for engine dynamics methods/tools Lead TOPS8D/RCA programs to derive fast, cost effective solutions Demonstrate horizontal leadership by collaborating both within and outside the immediate team/organization to deliver tangible business impact Lead system level dynamics evaluation of aircraft engines at various operating conditions Recommend design/analysis approaches utilizing current best practices to meet program/ project needs and develop new best practices to solve newer technical challenges Growing perspective, making cross product linkages, leveraging expertise Support & write funding proposals to align with opportunities of tech maturation programs Lead and drive innovation and IP strategies Promote inclusion & diversity: recognize team and value varied perspectives Mentor team and lead talent development initiatives Adopt & promote LEAN philosophy through daily management & LEAN problem solving Required Qualifications PhD MTech MS in Mechanical Aerospace Engineering 15+ years of relevant experience on dynamics design/analyses in gas turbine domain In-depth understanding of mechanical engineering, structural and rotor dynamics fundamentals Demonstrated ability to lead engineering programs, inspire excellence in teams and drive change Excellent communication and presentation skills Unfailing dedication to deadlines and commitments Preferred Qualifications: Strong numerical simulation experience in any of the commercial FE packages Exposure to engine vibration related noise assessment methodology Exposure to FAA regulations and aerospace industry Exposure to Design For Six Sigma tools and techniques Relocation Assistance Provided: Yes

As a member of the Internal Audit Model Risk team, you will be responsible for the execution of audits related to model risk management . This requires effective time management and adherence to the department's internal audit methodology. You will support the project manager in defining and executing the audit scope through walkthroughs and discussions with various modeling and model validation teams. Furthermore, you will present and discuss audit findings with both local and global management within the firm. Specific Responsibilities Develop and maintain an in-depth technical knowledge of modeling encompassing both theory and coding. Critically review models , including their conceptual soundness, documentation, code implementation accuracy, and independent validation. Conduct meetings with stakeholders , including modelers and model validators. Execute risk-focused audits of modeling and model risk management. Engage in continuous monitoring of modeling and model risk areas. Communicate modeling problems and issues to senior management. Basic Qualifications Advanced Degree (preferably Master's) in a quantitative discipline (Math, Statistics, Economics, Physics, Engineering, Computer Science). 2-5 years of experience in model development, independent model validation, or model risk audit . Model risk management knowledge , including model risk governance, model development, implementation, testing and change management, and model validation. Team-oriented with a strong sense of ownership and accountability . Strong leadership, interpersonal, and relationship management skills . Strong verbal and written communication skills and presentation skills (PowerPoint, Visio, etc.). Highly motivated with the ability to multi-task and remain organized in a fast-paced environment. Preferred Qualifications Experience within the financial services industry is a plus . Knowledge of financial modeling concepts , including (any combination): Options pricing, credit default, structured products, econometrics, stress scenario creation. Any combination of risk management disciplines: credit risk, market risk, operational risk, funding/liquidity risk. Programming experience in quantitative and object-oriented languages .

Perform validation and approval of the firm's models by verifying conceptual soundness, methodology, and implementation, and by identifying limitations and uncertainties Assess and quantify model risk by developing alternative benchmark models Oversee monitoring of ongoing model performance Communicate validation outcomes to key stakeholders and management SKILLS AND RELEVANT EXPERIENCE Excellent quantitative problem solving skills Experience in stochastic modeling, numerical simulation, and data analysis Machine learning knowledge Good communication skills with the ability to explain complex problems in a simple way Eagerness and ability to learn new technologies and programming languages Excellent organizational skills Team orientation and ability to work in a fast paced environment

The Risk Business identifies, monitors, evaluates, and manages the firm s financial and non-financial risks in support of the firm s Risk Appetite Statement and the firm s strategic plan. Operating in a fast paced and dynamic environment and utilizing the best in class risk tools and frameworks, Risk teams are analytically curious, have an aptitude to challenge, and an unwavering commitment to excellence. BUSINESS UNIT : The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Warsaw, Hong Kong, and Bangalore. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards, including documentation to evidence effective challenge over the Model development, implementation and usage of Models. The group s primary mandate is to manage risk that arises from models used in the firm through its range of businesses- from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, eg, exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. The analysis and reporting team is a new function within the MRM group that is responsible for analyzing, monitoring and reporting on model risk for the firm. The group works collaboratively with the model validation team to understand and communicate results of model validation activities, changes in model risk and other model-related issues to key stakeholders and management. WHAT WE LOOK FOR This business is ideal for collaborative individuals who have strong ethics and attention to detail. Whether assessing the creditworthiness of the firm s counterparties, monitoring market risks associated with trading activities, or offering analytical and regulatory compliance support, our work contributes directly to the firm s success. The MRM group looks for people with strong quantitative and technical backgrounds and a strong interest in financial markets. We seek bright and dynamic individuals with a degree in quantitative fields such as math, physics, engineering, computer science, or financial engineering. RESPONSIBILITIES Perform validation and approval of the firm s models by verifying conceptual soundness, methodology, and implementation, and by identifying limitations and uncertainties Assess and quantify model risk by developing alternative benchmark models Oversee monitoring of ongoing model performance Communicate validation outcomes to key stakeholders and management SKILLS AND RELEVANT EXPERIENCE Excellent quantitative problem solving skills Experience in stochastic modeling, numerical simulation, and data analysis Machine learning knowledge Good communication skills with the ability to explain complex problems in a simple way Eagerness and ability to learn new technologies and programming languages Excellent organizational skills Team orientation and ability to work in a fast paced environment

SENIOR OPTIMIZATION ENGINEER Hyderabad Role Senior Optimization Engineer Contract type Permanent About the role As a Senior Optimization Engineer you provide technical expertise in the area of numerical optimization of thermo-fluid systems which are core to the Company's business this includes trade-off and optimize energy efficiency, production cost and operating economy. You engage with global product teams to solicit business needs and convert those into computational decision-making workflows, methods and tools to radically impact how company's products are designed, deployed and operated. Key targets include improving engineering effectiveness as well as developing disruptive, innovative methods for model-based design and operation of company's systems. You also take active part in product development to support design engineers in adopting and using new methods and tools. You also work closely with other teams in Systems, Controls, ML/AI COE, including teams responsible for model development (to drive the development of optimization-friendly thermo-fluid models) and controls engineering (to promote the use of computational optimization strategies (MPC, RTO) as needed). We are offering you We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. A dynamic and international work environment in a company with high technology products. A strong growth strategy and people who are passionate about what they do. Requirements Education MEng or PhD in a relevant Engineering discipline (e.g., applied mathematics, mechanical or chemical engineering) with 5+ years of experience. Skills and qualifications Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs), including attention to reliable convergence of such problems. Proficient with the mathematical theory (applied mathematics, numerical analysis and functional analysis), algorithmic foundations (notably existence and convergence proofs), and methods/tools for numerical optimization (SQP, interior point method, etc.) of large-scale systems. Experience from using common algorithms/solvers for large-scale gradient-based non-linear programs, e.g., IPOPT, CONOPT, KNITRO, and WORHP, including their respective applicability to different types of problems. Experience from formulating and solving discrete optimization problems and using common algorithms, including CPLEX and Gurobi. Familiarity with physics-based modeling principles and best practices of thermo-fluid systems, such as vapor compression cycles or power plants. Familiarity and experience with development of computational platforms and tools in Python or equivalent. Familiarity with using HPC and cloud-based platforms for computation at scale. Demonstrated ability to work as part of a multidisciplinary team and an entrepreneurial attitude towards technological innovation in a global environment. Self-starter who is well-organized in an international team environment, with proven communication skills. Responsibilities Deployment. Support that methods and tools developed in the group impact the company's business through engagement in global product projects, including capture and formulation of computational problems arising in such projects. Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for large-scale numerical optimization are based on sound mathematical foundations and are deployed to match the needs of the company's business, including contributing to the architecture, development, testing and documentation of the methods and tools developed in the group. Modeling for optimization. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms. Talent. Support development and training of staff within company's product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and theses.