Job Search

Recruit Detail

Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.

Company Name

NGK Insulators, Ltd.

Job Type

CAE technology development for ceramic product design and process design (Nagoya City, Chiyoda Ward)

Work Detail

■ Job Summary CAE technology development for the design and manufacturing processes of our new ceramic products *Scope of change: Possibility of reassignment to all departments ■ Job Details Responsible for the following tasks, primarily focusing on simulations in the fields of thermal fluid and structural engineering (specific themes will be determined based on practical experience and skills): * Construction of material/product design and manufacturing process simulation models using general-purpose CAE software (ANSYS Mechanical/Fluent, STAR CCM+, COMSOL, etc.) * Development of simulation tools specific to our products (development environment: C language-based, Python, VBA, CUDA, etc.) * Establishment of optimal design approaches through combinations with optimization algorithms and machine learning (modeFrontier, other OSS, etc.) * Process design and cost estimation using process simulators ■ Job Characteristics * As a head office department, we develop and support the use of simulation technology for the entire company. * To model the properties and behavior of analog ceramics, we utilize basic experiments and advanced technologies such as supercomputers and AI to promote mechanism elucidation and the realization of new simulations. * Opportunity to engage in creative work such as CAE technology development management, innovation of design work processes, and collaboration with universities and startups.

Ideal Profile

■ Desired Candidate Profile We are looking for someone who is motivated to utilize simulations and is willing to actively challenge new technologies. ■ Required Qualifications ▼ Degree: Master's/Doctoral/Undergraduate ▼ Major: Materials/Mechanical/Electrical/Chemistry/Information/Other (Nuclear, Physics, Chemical Engineering) ▼ Work Experience ・[Industry] Various manufacturing industries, CAE industry, research institutions ・[Job Title] Research and development, product design, production technology development ・[Knowledge] Knowledge of engineering simulation ・[Experience/Skills] Experience in CAE software development (industrial/academic), research and development related to simulation (academic research acceptable), or practical experience in design using CAE in the manufacturing industry ・[Years of Experience] 3 years or more ・[Position] Any position is acceptable (Experience in proactively driving a project is required) ▼ Qualifications: None (Qualifications necessary for the job will be obtained at company expense after joining the company) ▼ Language Skills: Not required ■ **Degree:** Master's/Doctoral/Undergraduate **Major:** Materials/Mechanical/Electrical/Chemistry/Information/Other (Nuclear, Physics, Chemical Engineering) **Work Experience:** * **Industry:** Various manufacturing industries, CAE industry, research institutions * **Job Title:** Research and development, product design, production technology development * **Knowledge:** One of the following: Thermal fluid dynamics, chemical engineering, electrochemistry, mechanics of materials, fracture mechanics (Bachelor's degree level or higher) * **Experience/Skills:** Programming and software customization for simulations, practical application of machine learning, skills in using CAE-oriented PCs such as parallel computing and GPUs * **Years of Experience:** 3 years or more * **Position:** Any position (Experience in proactively driving a project is required) **Qualifications:** None required * **Language Proficiency:** TOEIC score of 500 or higher (Ability to gather information from English literature and websites without difficulty)

Work Location

▼Target Locations ・①Head Office (Nagoya City): No relocation required for the time being ・②Tokyo Headquarters (Marunouchi): Work possible *However, for the first 3 months after joining the company, you will work at the Head Office (Nagoya). ▼Head Office Access and Transportation ・Meitetsu Nagoya Main Line, Jingumae Station (15-minute walk) ・JR Tokaido Main Line, Atsuta Station (15-minute walk) ・Nagoya City Bus, Gandō (5-minute walk) / Takatsuji (15-minute walk) *Only motorcycle commuting is permitted (bicycle commuting from the station is negotiable) *Motorcycle parking may be full and unavailable, in which case motorcycle commuting is not permitted (it is not possible to secure parking before joining the company) ▼Tokyo Headquarters Access ・Location: Marunouchi Building 25F, 2-4-1 Marunouchi, Chiyoda-ku, Tokyo (NGK Insulators, Ltd. Tokyo Headquarters) *Scope of Change: Locations designated by the company (including locations for teleworking)

Similar Recruits

QunaSys Co., Ltd.

Job Type
CAE Researcher

QunaSys is recruiting researchers to conduct research and development in the field of CAE (Computer-Aided Engineering)! Job Description - CAE is a fundamental technology supporting manufacturing in industries such as automotive, aerospace, energy, materials, and manufacturing. However, high-precision simulations require enormous computing resources, making computation time and cost major challenges. - At QunaSys, we aim to realize next-generation simulation technology that surpasses the limitations of conventional CAE by integrating quantum computing, numerical simulation, and AI. CAE Research Team Mission - Our goal is to accelerate innovation in manufacturing by integrating quantum computing and CAE (Computer-Aided Engineering) to achieve large-scale, high-precision simulations that were difficult with conventional supercomputers alone. - To achieve this, we are developing next-generation CAE workflows that integrate numerical analysis methods for nonlinear partial differential equations, such as CFD (Computational Fluid Dynamics), with quantum algorithms and fault-tolerant quantum computing to solve industrial challenges in automotive, aerospace, energy, materials, and manufacturing. Specific Job Responsibilities (Flexible approach based on skills and interests) * Research and Development of Quantum Algorithms for CAE Research and development of quantum algorithms related to fluid analysis, structural analysis, thermal fluid analysis, electromagnetic field analysis, acoustic analysis, etc. Exploration of computationally valuable problems. * Hybrid Integration with Classical Computation Design and development of scalable CAE workflows that appropriately combine classical and quantum computers. Design and development of pre-processing, solvers, and post-processing based on quantum computers. * Problem Solving with Clients and Collaborating Partners (PoC, Joint Development) Hearing client and researcher challenges and proposing solutions from the perspective of CAE and quantum computing. Iterative improvement through PoC design, regular reporting, and feedback. Publication of results through collaborative research (papers, benchmark/demo PR). • Balancing field-leading innovative research with practical social implementation in industrial settings We grasp the latest papers and trends, and propose and promote research themes that balance feasibility and impact. Through collaborative research with universities and companies, we create new technologies that are globally applicable and advance their application to real-world problems. We collaborate with other teams to accelerate the productization of technologies and the social implementation of results.

Preferred Networks, Inc.

Job Type
Machine Learning, Optimization, and Data Science Engineer

We are recruiting engineers in the fields of machine learning, optimization, and data science year-round. We collaborate with client companies across diverse industrial sectors to solve challenges and realize PFN's vision of "making the real world computable" through research and development and implementation using our own supercomputers. We aim to provide high-value solutions that only PFN can offer, by learning specialized knowledge in each business domain and utilizing a broad range of computer science knowledge and implementation skills. We seek individuals who can actively communicate with people from diverse backgrounds, both inside and outside the company, and who can continuously learn new knowledge in line with PFN's "Learn or Die" values, thereby creating new value. The following are examples of work; however, actual work is not limited to these. The projects and tasks you will actually be responsible for after joining the company will be determined based on your specialized knowledge and experience. **Examples of Work** As an engineer, you will manage and promote projects for problem-solving, including new projects. - Launching new projects, conducting customer interviews, defining requirements, engineering, and reporting. - Observation and analysis of data related to existing equipment and processes, as well as their operation and management. - Defining tasks suitable for resolution using machine learning techniques and satisfying customer needs. - Establishing and implementing evaluation methods for machine learning model operation and application behavior based on actual equipment, data, or simulations, and conducting technical verification using these methods. - Explaining machine learning model operation and control behavior to customers and users, and developing, implementing, and verifying technical methods to enhance explainability (such as visualization). - Providing technical advice to engineers at client companies. We provide problem-solving services such as time series forecasting, mathematical optimization, and inverse problem analysis, depending on the problem domain and the client's business domain. - Construction and verification of machine learning models for prediction or anomaly detection of time-series data related to target equipment and processes. - Proposal, implementation, and experimentation of solutions to real-world combinatorial optimization problems from a multifaceted perspective including heuristics, mathematical programming, and machine learning. - Inverse problem analysis and estimation of the internal state and structure of measured objects using real-world remote sensing data. - Domain adaptation of simulation data and real-world data. We develop technologies to control large-scale production facilities such as chemical plants in operation, as well as industrial machinery and robotic equipment, to enable safer and more optimal operation. - Construction of machine learning models that enable optimal control while guaranteeing safety. - Construction of machine learning models that detect and predict equipment anomalies using time-series operating data. We develop technologies for efficient manufacturing, utilizing simulations and other methods, for manufacturing processes and equipment. - Formulating problems using 2D/3D particle simulations and applying them to machine learning - Development of continuous and discrete optimization algorithms for exploring optimal manufacturing processes - Construction and operation of a system that performs optimization processing using developed algorithms and machine learning models in conjunction with our own cluster We propose data analysis and problem-solving solutions that lead to improved profitability and customer satisfaction in the retail industry. We develop methods that contribute to the restructuring of operations and improvement of operational quality in the retail industry. - Problem setting and hypothesis building through observation of store operations and discussions with stakeholders - Leading the construction of data collection and analysis infrastructure in collaboration with other internal teams and client companies - Development of image and POS data analysis and optimization methods for the purpose of sales promotion, avoiding lost opportunities, and inventory optimization - Verification of the effectiveness of development methods in collaboration with client companies