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Internship - Artificial Intelligence/Machine Learning

Posted 26 May 2024
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Work experience
0 to 2 years
Full-time / part-time
Full-time
Job function
Salary
€600 per month
Degree level
Required language
English (Good)

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Introduction

At Healthy Workers, we aim to make every building smart, sustainable, and healthy. Recognizing that real estate significantly contributes to global emissions, we are committed to optimizing building performance to accelerate the transition to a sustainable future. Our ESG & Building Analytics platform provides real estate companies with the tools they need to achieve Net-Zero emissions and create healthy indoor environments. Located in the heart of Amsterdam, our team comprises young, highly educated individuals driven to impact the world positively.

The Assignment

As an intern or thesis intern at Healthy Workers, you will be vital in advancing our mission by contributing to developing and analyzing models and methods to create fully autonomous buildings. Working with a diverse dataset from over 100 buildings totaling 1,000,000 m2 of floor area, you will apply machine learning and data science techniques to derive insights and improve building performance. Your responsibilities may include research and analysis on topics such as anomaly detection, energy prediction, and simulation of building control systems. We offer flexibility in the duration of the internship, allowing for discussions with you and your academic supervisor to tailor the experience to your needs.

Possible themes for an internship/thesis internship:

  • Machine Learning for automatic anomaly detection or prediction in large commercial building systems
  • Transfer learning to control building management systems
  • ML with simulation to investigate the impact of building control
  • Supervised learning to identify possible energy savings by labeling inefficient or faulty practices within building management systems.
  • Supervised learning to create realistic and real-time energy labels based on the meter and sensor data.
  • Linear regression and k-nearest-neighbors to predict energy usage and possible savings.

What We're Looking For:

-Expertise in model enhancement.

-Proficiency in source control (GitHub, GitLab).

-Strong programming skills (Python/R).

-Experience in ML/AI methods.

-Familiarity with relevant libraries.

-Fluency in English (both written and oral).

-Pre: Master's level students, but all passionate applicants are welcome.

-International Students: Must be currently enrolled in a Master's program.

-EU/Dutch Students: Can be Master's students or recent graduates.

The Process

As soon as we are matched with each other, we will schedule a meeting to discuss the overall assignment and answer any questions you may have. From that point forward, we will connect you to a core team member at Healthy Workers for daily check-ins and schedule a weekly progress meeting to discuss the status and answer any questions that have arisen during the week. This meeting will be in our office (Rokin, Amsterdam). We encourage you to set up meetings independently with various team members to immerse yourself in our business and gather relevant research data.

The expected timeline for the internship is 6 months, with an average weekly time spent of 4 days, with the option of working remotely 1 day a week.

Compensation: monthly internship stipend of €600.

What We Aim to Achieve

Through your contributions, we aim to enhance our models and methods for optimizing building performance, ultimately leading to significant energy savings and improved indoor climate conditions. By leveraging machine learning and data science techniques, we seek to create fully autonomous buildings that efficiently balance energy consumption with environmental sustainability. We aim to empower real estate companies to achieve zero emissions and create healthy indoor environments, accelerating the transformation toward a sustainable future.

Onze missie: Elk gebouw slim, duurzaam en gezond!
Meet, analyseer en optimaliseer elk gebouw met Healthy Workers. Onze slimme software analyseert het verbruik, het binnenklimaat en de installaties van al je gebouwen, elke 10 minuten opnieuw. Bepaal voor elk gebouw de gewenste prestaties en behaal deze op de meest efficiente manier. Met alle stakeholders, elke dag opnieuw op weg naar een volledig klimaatneutraal gebouw en/of portfolio.
Ready to decarbonize Real Estate?

Real Estate
Amsterdam
Active in 1 country
15 employees
50% men - 50% women
Average age is 30 years