Remote Research Engineer - Electrical/Mechanical/Chemical

Links Partners; Mos; A distancia; EUR 65.000 - 95.000; Jornada completa

Descripción de la vacante

Links Partners is seeking a PhD-qualified Research Engineer to work remotely across electrical, mechanical, and chemical disciplines. The role focuses on designing, simulating, and validating multi-physics systems for high-impact projects, collaborating with cross-functional teams to drive innovation in a remote-first environment.

The candidate will conduct theoretical modeling, experimental validation, and algorithmic improvements to improve efficiency and scalability, while delivering

Formación

• PhD in Electrical, Mechanical, or Chemical Engineering.
• Experience in applied research and process optimization.
• Proficient with simulation tools like COMSOL, ANSYS, MATLAB, or SPICE.
• Strong data analysis, statistics, and experimental design skills.
• Excellent written and verbal communication for technical docs.

Responsabilidades

• Design, simulate, and validate electrical, mechanical, or chemical systems based on project requirements.
• Conduct theoretical modeling and experimental validation to ensure system performance and reliability.
• Develop and refine algorithms or processes to enhance efficiency and scalability of engineering solutions.
• Prepare technical reports, documentation, and presentations for stakeholders and leadership.
• Provide expert-level troubleshooting and optimization recommendations for existing systems.

Conocimientos

Applied research

System design

Process optimization

Data analysis

Experimental design

Technical communication

Educación

PhD in Electrical, Mechanical, or Chemical Engineering

Herramientas

COMSOL

ANSYS

MATLAB

SPICE

Descripción del empleo

Links Partners is seeking a PhD-qualified Research Engineer to work remotely across electrical, mechanical, and chemical disciplines. The role focuses on designing, simulating, and validating multi-physics systems for high-impact projects, collaborating with cross-functional teams to drive innovation in a remote-first environment.

The candidate will conduct theoretical modeling, experimental validation, and algorithmic improvements to improve efficiency and scalability, while delivering