Industrial Control Systems Engineer- Aerospace Manufacturing – Shanghai, China

Industrial Control Systems Engineer- Aerospace Manufacturing – Shanghai, China.

Our Aerospace client offers long term steady work prospects to suitable candidates with experience gained within Industrial Control Systems Engineering. Strongfield have been supporting the civil aircraft programs in China for around 16 years now. If you have interest to live and work in Shanghai, without long hours and high pressure, please forward your CV in the first instance for review.

This is an opportunity for candidates that would like steady long-term work on a new Civil aircraft program, whilst giving them time to see and explore Asia and its culture. Our client has modern facilities and equipment, and they respect the experience that successful candidates can bring to them.

We will work with you throughout the whole process until you arrive and are integrated into Shanghai life.

If Asia has been on your list of continents to see and experience, maybe this could be the opportunity for you. With flights and high-speed transport links, our Engineers have been able to travel and see Macau and Hong Kong for instance.

Job Responsibilities:

Strategic Guidance and Technology Planning: Lead the development of a large-scale model technology roadmap for the intelligent development of civil aircraft production line equipment, promoting the deep integration and innovative application of AI large-scale models in key aspects such as aircraft production line equipment design, assembly, testing, operation and maintenance, and quality control.

Large-Scale Model R&D and Engineering Implementation: Lead the R&D of specialized large-scale models for civil aircraft manufacturing scenarios such as multimodal perception large-scale models, industrial knowledge large-scale models, and predictive maintenance large-scale models, achieving breakthroughs across the entire technology chain from algorithm innovation to production line deployment.

Data-Driven Intelligent Manufacturing System Construction: Construct a high-fidelity data collection, governance, and modeling system covering the entire civil aircraft production line process, promoting the formation of a "data-driven" intelligent manufacturing system.

Model-Decision-Making Closed Loop: Enhancing the flexibility, adaptability, and intelligence of production lines.

Interdisciplinary Team Building and Collaborative Innovation: Establishing and leading a high-level R&D team composed of personnel from multiple disciplines, including artificial intelligence, aerospace manufacturing, industrial software, and automation control, to promote deep integration of industry, academia, and research.

Major Project Application and Technology Transfer: Leading applications for major projects such as national key R&D programs and intelligent manufacturing special projects, promoting the patenting, standardization, and industrial application of core technologies.

International Cooperation and Enhanced Academic Influence: Expanding technical cooperation with top international research institutions and aerospace manufacturing enterprises to enhance my country's international voice and influence in the field of intelligent manufacturing of civil aircraft. Job Requirements:

Doctoral degree, exceptions may be made for exceptionally outstanding candidates. Experience in senior positions at renowned overseas universities, research institutions, or enterprises, associate professor or above, chief scientist, technical director. Internationally recognized academic or technical influence in fields such as artificial intelligence, intelligent manufacturing, industrial large-scale models, digital twins, and aerospace manufacturing.

Expertise in industrial large-scale models, multimodal AI, intelligent manufacturing systems, digital twins, industrial knowledge graphs, predictive maintenance, and the application of computer vision in industrial inspection.

Familiarity with civil aircraft manufacturing processes - assembly, riveting, composite forming, final assembly and testing is preferred.

Successful experience in applying large-scale model technology to complex industrial systems especially high-end equipment production lines.

Proficient in deep learning frameworks such as PyTorch, TensorFlow and large-scale model training and optimization techniques such as LoRA, Prompt Engineering, model distillation, etc.

Capable of large-scale industrial data processing and modeling, familiar with the fusion and analysis of multi-source heterogeneous data such as time-series data, image data, and text work orders.

Experience in deploying AI models in industrial settings, with preference given to candidates familiar with edge computing and industrial internet platform architecture.

Have Published high-level papers in top journals or conferences such as Nature/Science sub-journals, IEEE Transactions, ICML, NeurIPS, CVPR, and ICRA.

Led national-level research projects or core technology breakthrough projects for large enterprises.

Possesses outstanding leadership, interdisciplinary collaboration skills, and strategic vision.Candidates must be prepared to live and work in China for 1-3 years initial contract