11 Numerical Simulations Jobs

As an AI Lead/Manager located in Chennai, you will be responsible for designing and developing machine learning software solutions primarily for semiconductor device and thin film metrology. You will work closely with internal and external customers to gather requirements, build machine learning-based software solutions, and optimize algorithms for efficient implementation. Your role will also involve extending prototypes into fully functional solutions ready for internal or external use, implementing solutions using Python with TensorFlow, and providing technical support during testing phases. To be successful in this role, you must possess a strong background in machine learning, particularly using regression models and the TensorFlow framework. Additionally, experience in software architecture, modern development practices, design patterns, and writing production-quality, object-oriented code in Python or C# is required. Knowledge of parallel/distributed computing, performance profiling, and memory optimization is essential. Experience in API development and Azure DevOps is advantageous, along with familiarity in computational physics, numerical simulations, semiconductors, and electromagnetics. Candidates with at least 2 years of team leadership or management experience in machine learning algorithm engineering are preferred. The minimum qualifications include a Bachelor's, Master's, or Ph.D. in Computer Science or a related computational field with corresponding years of experience. Candidates from Tier-1 colleges like IIT, IIIT, VIT, NIT with a background in AI/ML/DL and product company experience will be highly considered for this role. Furthermore, the ability and willingness to travel worldwide to support projects at customer sites are beneficial. You will be expected to document the design and implementation of software solutions, conduct presentations internally and externally, and maintain new and existing software solutions throughout their life cycle. Your responsibilities will encompass software architecture, unit testing, API development, memory optimization, and more, ensuring the delivery of high-quality machine learning solutions in the field of semiconductor device and thin film metrology. Overall, we are seeking ML Experts with expertise in electromagnetics/CFD-ACE products, capable of contributing to cutting-edge advancements in the field of artificial intelligence and machine learning.,

As an AI Lead/Manager based in Chennai with 5 to 16 years of experience, you must possess strong skills in C++ or Python, Machine Learning (including regression models and TensorFlow framework), and Artificial Intelligence. Your educational background should include a BTech with 8+ years of experience in C++ or Python, an M.Tech with 6+ years of experience, or a PhD with 4+ years of experience in Machine Learning. Ideal candidates will have experience in AI/ML/DL from tier 1 colleges such as IIT, IIIT, VIT, NIT, and a background in working with product companies, especially engineering product companies. Additionally, candidates should meet the following preferred qualifications: - Proficiency in machine learning using regression models and TensorFlow framework - Strong foundation in software architecture, modern development practices, and design patterns - Experience in Python or C# for writing production-quality, object-oriented code - Familiarity with parallel/distributed computing, performance profiling, and memory optimization - Knowledge of API development and Azure DevOps - Exposure to computational physics, numerical simulations, and semiconductors (electrical properties, manufacturing, and metrology) Minimum qualifications include at least 2 years of experience leading or managing a team of machine learning algorithm engineers, along with a BS, MS, or PhD in Computer Science or a related computational field combined with significant years of experience. In this role, you will be responsible for designing and developing machine learning software solutions for semiconductor devices and thin film metrology. This involves collaborating with internal and external stakeholders to define requirements, building machine learning-based solutions, optimizing algorithms, and developing APIs. You will work on extending prototypes into fully functional solutions, implementing solutions in Python with TensorFlow, writing unit tests, providing technical support during testing phases, documenting software solutions, and maintaining existing solutions throughout their life cycle. If you have a passion for machine learning, strong technical skills, and a background in electromagnetics/CFD-ACE products, this position offers an exciting opportunity to contribute to cutting-edge projects in the field of AI and semiconductor technology.,

As a Structural Instrumentation Engineer, your primary responsibility will involve conducting Finite Element Modeling (FEM), RSI, and other advanced numerical studies for bridges and various civil structures. Through these numerical simulations and structural analyses, you will contribute to enhancing the structural integrity and performance of these constructions. In addition to numerical simulations, you will also be tasked with overseeing the instrument and sensor deployment for monitoring structural performance in real-time. This will involve working with cutting-edge sensors and data acquisition systems to ensure accurate and timely data collection. A crucial aspect of your role will be data processing and interpretation. By analyzing field data, identifying patterns, detecting structural anomalies, and generating actionable insights, you will play a key role in ensuring the safety and efficiency of the structures you are working on. Furthermore, you will be responsible for preparing high-quality technical reports, presentations, and documents for project submissions and client interactions. Your ability to communicate complex technical information clearly and effectively will be essential in this aspect of the role. As a Structural Instrumentation Engineer, you will also have the opportunity to engage in field activities such as site visits, sensor installations, and real-world monitoring of diverse bridge types across India. This hands-on experience will provide you with valuable insights into the practical application of your technical expertise and contribute to the overall success of the projects you are involved in.,

The ideal candidate for this role would be a student with a Master's degree in Engineering/Technology, specifically with a strong foundation in Fluid Mechanics and Heat Transfer from the Mechanical or related Engineering field. However, exceptional candidates with a Bachelor's degree will also be taken into consideration. Having experience in experimental work and numerical simulations, as well as a good understanding of measurement science and data acquisition, would be advantageous for this position. Additionally, a background in Computational Fluid Dynamics (CFD) or familiarity with utilizing CFD software, whether open-source or commercial, would be desirable. As part of the responsibilities for this role, the individual will be tasked with designing and executing experiments or setting up computer simulations. They will also be responsible for data acquisition, analysis, and effectively communicating scientific results to relevant stakeholders.,

You will be responsible for designing and developing machine learning software solutions for semiconductor device and thin film metrology. This will involve working closely with both internal and external customers to define requirements and then building machine learning-based solutions. You will be optimizing algorithms and prototypical solutions for efficient implementation and designing, developing, implementing, overseeing, and adapting APIs. Your role will also include extending prototypes into fully functional, polished solutions ready for internal and/or external use. You will be implementing solutions in Python with TensorFlow, writing comprehensive unit tests, and providing technical support during alpha and beta testing. Additionally, you will be documenting the design and implementation of the software solutions and giving presentations both internally and externally regarding the work. Furthermore, you will be maintaining new and existing software solutions throughout the life-cycle of the tools. Preferred qualifications for this position include a strong background in machine learning using regression models and the TensorFlow framework, as well as experience in software architecture, modern development practices, and design patterns. Additionally, a background in Python or C#, especially in writing production-quality, object-oriented code, is desired. Experience in parallel/distributed computing, performance profiling, and memory optimization would be beneficial. Knowledge of API development and Azure DevOps is a plus. Experience in computational physics, numerical simulations, and semiconductors (electrical properties, manufacturing, and metrology) would also be advantageous. Moreover, the ability and willingness to travel worldwide to support projects at customer sites is considered beneficial for this role. In return, we offer a competitive and family-friendly total rewards package. Our programs are designed to reflect our commitment to an inclusive environment while ensuring that we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer.,

As a Geo-Mechanical Modelling Engineer, your primary responsibility will be to lead and execute advanced geo-mechanical modelling and analysis for subsurface projects by integrating rock mechanics, CFD, and geotechnical engineering principles. Your role will involve developing robust numerical simulations to evaluate subsurface behavior under various operational scenarios to ensure safety, efficiency, and performance of drilling, production, and reservoir activities. You will lead end-to-end geo-mechanical modelling efforts for subsurface assets and projects. This will include performing engineering mechanics calculations using tools like FLAC3D, Ansys, or equivalent numerical simulators. You will also conduct CFD modelling to assess fluid-rock interactions and pressure-temperature regimes. Your expertise will be crucial in interpreting field data, core samples, and lab test results to calibrate models. Collaboration with cross-functional teams such as Reservoir Engineering, Drilling, Production, and Petrophysics will be essential in providing insights into wellbore stability, sand production, fracture propagation, and fault reactivation. You will also have the opportunity to mentor junior engineers and contribute to technical development programs. Additionally, preparing technical reports, risk assessments, and presenting findings to stakeholders will be part of your routine. To excel in this role, you should hold a Bachelors or Masters degree in Geotechnical Engineering, Mechanical Engineering, Petroleum Engineering, or a related field. Proven experience in geo-mechanical modelling and analysis is required, along with proficiency in FLAC3D, Ansys, and CFD simulation tools. Strong grounding in engineering mechanics and numerical methods is necessary, as well as the ability to interpret and integrate multi-disciplinary data sets. Excellent communication and project management skills will also be beneficial. Preferred experience includes prior work in Oil & Gas, Mining, or Energy sectors, exposure to field development planning and risk mitigation in challenging subsurface environments, and experience with advanced material models and coupled fluid-solid interaction analysis. If you are passionate about geo-mechanical modelling and analysis and possess the required skills and qualifications, we encourage you to apply by sending your application to enpcareers.hr@ril.com.,

Mahindra University is seeking a Doctoral Student for the Prime Minister's Early Career Research Grant (PM ECRG) ANRF. If you are a highly motivated individual with a strong background in condensed matter physics, we encourage you to apply for this opportunity. To be considered, please send an email to banasree.sadhukhan@mahindrauniversity.edu.in with a detailed CV that includes your academic qualifications, experience, and contact information. Please use the subject line "Application for PhD Position PM ECRG Project on Altermagnets." The project, titled "Emerging magneto-transport and thermoelectric responses in altermagnets for novel application of energy harvesting," aims to investigate the unconventional magneto-transport and thermoelectric behavior in a unique class of quantum materials known as altermagnets. These materials exhibit symmetry-protected spin-polarized transport with zero net magnetization. By employing theoretical modeling, numerical simulations, and data analysis, the project intends to uncover mechanisms that enable efficient energy harvesting and spin-caloritronic functionalities. The anticipated outcomes could significantly impact the development of next-generation energy-efficient devices and green technologies. The fellowship details for this position are as follows: - Junior Research Fellowship (JRF): 37,000/month + 30% HRA = 48,100 (for 2 years) - Senior Research Fellowship (SRF): 42,000/month + 30% HRA = 54,600 (for 1 year) The Principal Investigator for this project is Dr. Banasree Sadhukhan. You can find more information about Dr. Sadhukhan's profile on the Mahindra University website: https://www.mahindrauniversity.edu.in/faculty/banasree-sadhukhan/. Additionally, you can explore the Computational Lab Website at https://banasreesadhukhan.wixsite.com/computational-conden. The field of study for this project is Condensed Matter Physics. The application deadline is 31st July 2025. The location for this position is Mahindra University, Hyderabad, India. We are looking for highly motivated and passionate individuals to join our research group and contribute to this cutting-edge project in quantum materials and energy harvesting. Join us in this exciting opportunity to be a part of innovative research that could shape the future of energy-efficient technologies.,

One Ph.D. position is available in Dr. Banasree Sadhukhan's group at Mahindra University under the Prime Ministers Early Career Research Grant (PM ECRG) - ANRF. The position is open to highly motivated candidates with a strong background in condensed matter physics. The successful candidate will work on the project titled "Emerging magneto-transport and thermoelectric responses in altermagnets for novel application of energy harvesting." The project aims to explore the unconventional magneto-transport and thermoelectric behavior in a novel class of quantum materials known as altermagnets. These materials combine symmetry-protected spin-polarized transport with zero net magnetization. Through theoretical modeling, numerical simulations, and data analysis, the project seeks to uncover mechanisms that enable efficient energy harvesting and spin-caloritronic functionalities. The outcomes of this research could significantly contribute to the design of next-generation energy-efficient devices and green technologies. Interested candidates are encouraged to apply by emailing a detailed CV, including academic qualifications, experience, and contact information, to banasree.sadhukhan@mahindrauniversity.edu.in with the subject line: Application for PhD Position PM ECRG Project on Altermagnets. The fellowship details for this position are as follows: - Junior Research Fellowship (JRF): 37,000/month + 30% HRA = 48,100 (for 2 years) - Senior Research Fellowship (SRF): 42,000/month + 30% HRA = 54,600 (for 1 year) The field of study for this position is Condensed Matter Physics, and the location is Mahindra University, Hyderabad, India. We welcome highly motivated and passionate individuals to join our research group and contribute to this cutting-edge project in quantum materials and energy harvesting. For more information about the Principal Investigator, Dr. Banasree Sadhukhan, please visit the Faculty Profile at https://www.mahindrauniversity.edu.in/faculty/banasree-sadhukhan/. You can also visit the Lab Website at https://banasreesadhukhan.wixsite.com/computational-conden for further details.,

You are invited to apply for the position of Junior Research Fellow for a project funded by the Ministry of Defence at Mahindra University, Hyderabad. This position is in an interdisciplinary field that combines Numerical Simulations and Machine Learning. As a prospective candidate, you should hold an M.E / M.Tech degree from a reputable institution in Aerospace or Mechanical Engineering, with a solid background in Computational Fluid Dynamics. While prior knowledge in Machine Learning is advantageous, candidates without this background will receive the necessary training on the job. The selected candidate will be engaged in a Research & Development role focusing on Physics Informed Neural Networks. You will be encouraged to pursue a Ph.D. degree concurrently in an interdisciplinary field that encompasses Fluid Dynamics and Deep Learning. The project is expected to span three years, but you may continue until the completion of work leading to a doctoral thesis. The remuneration for this position is Rs. 25K per month, along with complimentary boarding and lodging in the Mahindra University campus hostels. Your base of operations will be the Ecole Centrale School of Engineering (ECSE) at Mahindra University, which is the flagship school of the University and maintains research partnerships with the Ecole Centrale Group of Institutions in France. This project offers collaborative opportunities with Nvidia and esteemed Space and Defence Research Institutions in India. If you are interested in this opportunity, please submit your application to arya.bhattacharya@mahindrauniversity.edu.in and cc anil.kadali@mahindrauniversity.edu.in.,

The opportunity: You will have the chance to contribute your own ideas to identify, propose, and implement innovative technology development and solutions. You will be responsible for solving industrial problems independently. How you'll make an impact: You will demonstrate your technical expertise by undertaking various engineering assignments within projects. Showcasing your independent problem-solving skills, you will contribute to ongoing scientific discussions in your area. Your responsibilities will include performing finite element simulations on structures subjected to various static and dynamic loads such as fatigue, impulsive, short-circuit, and seismic events. Collaborating with engineers, you will develop and optimize new and existing products. You will conduct feasibility studies, develop technical concepts, design new products, and simulate their performance. Additionally, you will be tasked with developing new simulation methodologies and tools for transformers, formulating clear conclusions, and providing practical recommendations for the business. It will be essential to transfer your knowledge and findings through reports, specifications, and educational programs, contributing to product and technology development projects and ensuring timely delivery within the budget. Building and expanding relationships with stakeholders, internal functions, Corporate Research Centers, and external relevant parties will also be part of your role. You will provide proposals for potential partnerships and serve as a valuable project member or leader, ensuring alignment with project goals in terms of time, cost, and quality. Actively participating in engineering networks, you will enrich your expertise and visibility within your targeted area. You will assess production processes, identify gaps, and proactively seek areas for improvement. Supporting factories troubleshooting within your domain of expertise will also be required. Recognizing the importance of intellectual property, you will engage in IP discussions, prepare project clearance reports, and identify risks in projects. Ensuring compliance with applicable external and internal regulations, procedures, and guidelines is another crucial aspect of the role. Living by Hitachi Energy's core values of safety and integrity, you will take responsibility for your actions while caring for your colleagues and the business. Your background: You should hold a B. Tech, BE, ME, M.Tech, MS, or PhD degree in Mechanical Engineering. With 4 to 10 years of experience in advanced numerical simulations, proficiency in using commercial simulation tools like Ansys and COMSOL, and the ability to implement your solutions will be highly valued. A solid understanding of the fundamentals of strength of materials and manufacturing technologies is essential. Proficiency in CAD modeling software such as CATIA, CREO, Solidworks, and Solidedge is required. Excellent teamwork abilities in international teams with strong interpersonal skills are necessary. Knowledge in ACT and APDL programming in Ansys will also be valued. Understanding the standard body of knowledge in the relevant technical field and the ability to utilize national standards and guidelines like EN, IEEE, and IEC are crucial. Experience in experimental stress analysis and structural testing is desired, along with project management skills. A willingness to work in remote and diverse environments and travel to factories when needed is expected. Proficiency in both spoken and written English language is a must. Qualified individuals with disabilities may request a reasonable accommodation if they require accessibility assistance during the job application process. Accommodation requests can be made by completing a general inquiry form on the Hitachi Energy website, providing contact information and specific details about the required accommodation to support the application process. This service is exclusively for job seekers with disabilities requiring accessibility assistance or accommodations during the job application process. Messages for other purposes will not receive a response.,

The opportunity: Contribute with your own ideas to identify, propose, and implement innovative technology development and solutions. Solve industrial problems independently. How you'll make an impact: Demonstrate your technical expertise by undertaking a variety of engineering assignments within projects. Showcasing your independent problem-solving skills and contributing to ongoing scientific discussions in your area. Performing finite element simulations on structures subjected to various static and dynamic loads (e.g., fatigue, impulsive, short-circuit, seismic). Collaborate with engineers to develop and optimize new and existing products. Conduct feasibility studies, develop technical concepts, design new products, and simulate their performance. Developing new simulation methodologies and simulation tools for transformers. Formulate clear conclusions and practical recommendations for the business. Transfer your knowledge and findings by elaborating reports, specifications, and/or participating in educational programs. Contribute to product and technology development projects, ensuring timely and budget-compliant delivery. Develop, manage, and expand relationships with stakeholders, internal functions, Corporate Research Centers, and external relevant parties (e.g., customers, universities). Provide proposals for possible partnerships. Serve as a valuable project member and, as a potential project or sub-project leader, ensure alignment with goals in time, cost, and quality. Coordinate activities with a strong grasp of processes and tools. Actively participate in engineering networks to enrich your expertise and visibility within your targeted area. Assess production processes and proactively identify gaps and areas of improvement. Support factories troubleshooting in your domain of expertise. Recognize the importance of intellectual property to our business, engage in IP discussions, prepare project clearance reports, and identify risks in projects. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy's core values of safety and integrity, which means taking responsibility for your actions while caring for your colleagues and the business. Your background: B. Tech or BE or ME or M.Tech or MS or PhD Engineer in Mechanical Engineering. 4 to 10 years of experience with advanced numerical simulations (e.g., mechanical simulations), proficiency in the use of commercial simulation tools (e.g., Ansys, COMSOL), and implementation of your solutions shall be well valued. Fundamentals of strength of materials and manufacturing technologies. Knowledge in CAD modeling software (CATIA, CREO, Solidworks, Solidedge). Excellent abilities in teamwork in international teams with excellent interpersonal skills. Knowledge in ACT and APDL programming in Ansys shall be well valued. Solid understanding of the standard body of knowledge in the relevant technical field and solid technical proficiency. Ability to utilize national standards/guidelines (e.g., EN, IEEE, IEC, etc.). Experimental stress analysis & structural testing knowledge. Experience with project management activities. Willing to work in remote and diverse environments. Willingness to travel to factories when needed. Proficiency in both spoken & written English language is required. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.,