Predictive Maintenance Intern

IPercept; Stockholms kommun; Presencial; SEK 100 000 - 134 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Mentorship

Hands-on projects

Sensor data access

Career transition option

Resumo da oferta

IPercept is offering a paid internship in Stockholm, Sweden, to work on predictive maintenance and machine diagnostics with real sensor data from industrial machines.

The role is 10–20 hours per week for 2 months, starting ASAP, with mentorship from experienced engineers and potential for full-time employment.

Qualificações

• Pursuing a mechanical/mechatronics engineering degree.
• Basic knowledge of predictive maintenance and mechanical diagnostics.
• Interest in bearings, ball screws, and machine systems.
• Familiar with Python and basic signal processing.

Responsabilidades

• Analyze machine data to assess mechanical health.
• Apply signal processing (FFT, filtering) to detect faults.
• Work with sensor data from industrial machines.
• Translate findings into maintenance recommendations.
• Support development of predictive algorithms.

Conhecimentos

Python basics

Signal processing

Curiosity about predictive maintenance

Mechanical components knowledge

Formação académica

Mechanical/Mechatronics engineering student

Enrollment in related program

Ferramentas

Python

FFT analysis

Descrição da oferta de emprego

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.