Predictive Maintenance Intern

Type: Paid Internship (10–20 hours/week fixed hours)

Location: Stockholm (close to KTH campus)

Duration: 2 months

Start Date: As soon as possible

Starting with an internship, with the potential to turn into full-time employment

About the internship

Are you an engineering student curious about how machines stay healthy? Join us at IPercept to explore real-world predictive maintenance and diagnostics. You’ll work with actual machine data, sensors, and mechanical systems to help us detect wear and improve machine performance. This internship is ideal for students in Mechanical, Mechatronics, Vehicle Engineering, or similar fields who are eager to apply their knowledge in a hands-on setting.

What You’ll Do

• Analyze machine data to assess mechanical health

• Use signal processing (e.g. FFT, filtering) to detect faults

• Work with sensor data

• Help translate findings into maintenance advice

• Support development of predictive algorithms

What We’re Looking For

Must-Haves

• Studying Mechanical, Mechatronics, or similar engineering field

• Curious about predictive maintenance and mechanical diagnostics

• Basic knowledge and interest in components like bearings or ball screws

• Comfortable with Python and basic signal processing

Nice-to-Haves

• Experience with sensor data or time-series analysis

• Software Engineering Fundamentals

• Some understanding of CNC or production machines (we’ll teach you!)

What’s Offered

• 10–20 hours per week

• In-depth experience in predictive maintenance engineering.

• Access to real sensor data from industrial machines.

• Mentorship from experienced engineers and data specialists.

• Opportunity to transition into a full-time engineering role after internship.

• Supportive and collaborative engineering culture.

About IPercept

IPercept is delivering solutions to transform machine efficiency through its predictive AI platform for maintenance and production teams. It has quickly grown to become a leading provider of operational efficiency and predictive maintenance solutions for metalworking machines and is trusted by some of the largest manufacturing companies across Europe. IPercept enables production and maintenance teams to make fact-based decisions that increase machine availability, productivity, and product quality. IPercept is headquartered in Stockholm, Sweden.