Research Scientist, Industrial Sensing & ML (Hybrid)

Try&Hire; Aargau; Hybrid; CHF 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Try&Hire is seeking a research-driven engineer to research and develop sensing solutions for next-generation industrial systems. The role combines signal processing, ML, and embedded electronics, with a focus on moving concepts to experimental verification.

You will lead projects, evaluate technologies, and collaborate with universities and research centers, publishing results and generating IP as part of a dynamic, hybrid work environment.

Qualifications

• PhD in electrical engineering, computer science, or related field.
• Knowledge in signal processing and data analytics, including ML/deep-learning-based methods.
• Experience with test, design, simulation and validation of electronic and embedded systems.
• Experience bringing ideas from concept to prototype.
• Proficiency in C/C++, Python, Matlab and modern ML frameworks.
• Excellent written and oral command of English.

Responsibilities

• Contribute to and lead research projects in sensors and industrial sensing applications.
• Develop novel sensing products and solutions from concept to experimental verification.
• Evaluate new technologies and conduct technical surveys.
• Generate project proposals with business impact.
• Collaborate with researchers and engineers from other research centers, business units and universities.
• Publish results through scientific publications and internal technical reports, generate intellectual property.

Skills

Signal processing

Data analytics / ML

Embedded systems

C/C++

Python

English communication

Education

PhD in electrical engineering, computer science, or related field

Tools

C/C++

Python

Matlab

PyTorch

Job description

Try&Hire is seeking a research-driven engineer to research and develop sensing solutions for next-generation industrial systems. The role combines signal processing, ML, and embedded electronics, with a focus on moving concepts to experimental verification.

You will lead projects, evaluate technologies, and collaborate with universities and research centers, publishing results and generating IP as part of a dynamic, hybrid work environment.