20 beste vacatures voor de functie van machine learning engineer in 2552 den haag (nieuwe medewerkers gezocht)

Internship: Sensor Data Fusion and Machine Learning for Human Activity Detection
Almende —Rotterdam
- € 400 per maand
- Hybride werken
- Master
- Analytisch vermogen
- C++
Snel solliciteren
10 dagen
Machine Learning-ai Engineer
Good Company —Rijswijk
- Parttime
- Azure
- DevOps
- Java
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Data scientist
SBB —Zoetermeer
- € 4.361 - € 6.379 per maand
- Online sollicitatie
- Hybride werken
- Azure
- Analytisch vermogen
- Bachelor
- Reiskostenvergoeding
11 dagen
AI Engineer / Python Developer
MrWork —Rotterdam
- Hybride werken
- Informatica
- Master
- Databases
- Flexibele werkuren
Machine Learning Engineer
Vector Synergy —Den Haag
- JavaScript
- AI
- Python
Snel solliciteren
stage Onderzoek en Ontwikkeling RAG-systeem
Politie —Zoetermeer
- € 725 per maand
- Online sollicitatie
- Hybride werken
- Onderzoek
- Master
- Analytisch vermogen
Internship- Mechanical Design & Integration
Fiducial —Delft
- € 1.000 per maand
- Fulltime
- Hybride werken
- CAD
- Engels
- Bachelor
- Werk vanuit huis
- Flexibele werkuren
Snel solliciteren
10 dagen
Senior Data Scientist
MN —Den Haag
- € 4.504 - € 6.434 per maand
- Online sollicitatie
- Informatica
- DevOps
- Master
Senior machine learning engineer
Rijkswaterstaat —Delft
- € 4.818 - € 7.094 per maand
- Parttime
Machine learning Engineer
Sia —Rotterdam
- Fulltime
- Hybride werken
- Azure
- Ziekenhuis
- DevOps
Snel solliciteren
Machine Learning Engineer
ANWB —Den Haag
- € 4.136 - € 6.667 per maand
- Hybride werken
- Informatica
- AWS
- Bachelor
Snel solliciteren
7 dagen
Internship AI & Machine Learning
everox —Rotterdam
- € 700 per maand
- Engels
- Master
- Analytisch vermogen
AI Developer
DevOn —Delft
- Fulltime
- Analytisch vermogen
- Bachelor
- AI
Machine Learning Engineer - Recommendation
JD.COM INTERNATIONAL UK LTD —Rotterdam
- Informatica
- Engineering
- Engels
Snel solliciteren
Machine Learning Engineer - Energy Management
Eneco —Rotterdam
- € 84.000 - € 117.000 per jaar
- Hybride werken
- AWS
- Continue verbetering
- Winstdeling
- Werk vanuit huis
Senior Data Scientist
Nearfield Instruments —Rotterdam
- Fulltime
- Engels
- Master
- C++
Snel solliciteren
Data Scientist
Port of Rotterdam —Rotterdam
- Fulltime
- Azure
- Engels
- Kantoor
- Reiskostenvergoeding
- Personeelskorting
AI Engineer
FreshMinds —Leiden
- € 85.000 - € 120.000 per jaar
- Fulltime
- Hybride werken
- Azure
- Master
- Databases
Snel solliciteren
Machine Learning Engineer - Fulfillment
JD.COM INTERNATIONAL UK LTD —Rotterdam
- Informatica
- Engineering
- Engels
Snel solliciteren
Vacature: Lead Machine Learning Engineer - View vacancy
Bekijk bedrijf: Nationale-Nederlanden —Rotterdam
- € 7.087 - € 9.449 per maand
- Fulltime
- Hybride werken
- Azure
- DevOps
- Kantoor

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Internship: Sensor Data Fusion and Machine Learning for Human Activity Detection

Almende
Rotterdam

Snel solliciteren

Vacaturegegevens

Stage
€ 400 per maand
10 dagen geleden

Kwalificaties

TensorFlow
Signaalverwerking
Internet of things
PyTorch
Master
Analytisch vermogen
C++
Bachelor
Python

Volledige vacaturetekst

Develop a multimodal sensor-fusion system for smarter human activity and occupancy detection in buildings.

Are you a tech-savvy student interested in machine learning, IoT and sensor systems?

In this internship, you will combine data from Crownstone BLE devices with other sensors such as smartphone orientation data, acoustic cameras, and PIR/RF sensors to improve human activity detection.

About this internship

Smart-building sensors each provide only part of the picture. BLE signals can indicate proximity, PIR can detect motion, acoustic systems can capture activity-related information, power usage can tell what for device is being used, and smartphones provide orientation or movement data. Your goal is to investigate and develop methods to fuse and leverage these heterogeneous data streams for a more accurate and robust human activity and occupancy detection system.

A key focus is edge processing: extracting and combining useful information close to the sensors so the solution remains responsive, scalable and privacy-conscious.

What will you do and learn?

This internship provides an exciting opportunity to engage directly with innovative technology and receive mentorship from experienced data scientists and engineers. You’ll:

Research and select additional sensors that could add value to the HAC system
Design how measurements from these sensors can be acquired, timestamped and transferred into the HAC system for sensor fusion.
Prepare, synchronise and analyse multimodal data from Crownstone and complementary sensor systems.
Design, train and evaluate sensor-fusion and machine-learning approaches for human activity and occupancy detection.
Compare fused models with single-sensor baselines using metrics such as precision, recall and F1 score.
Explore how the fusion pipeline can run efficiently at the edge under compute, memory and communication constraints.
Test your approach in realistic building scenarios and document the main trade-offs and limitations.
Collaborate closely with our multidisciplinary team and experience the dynamics of startup innovation.

About you

You don't need to have all the answers right away! If you're studying in a science or engineering discipline and enjoy programming and data analysis, you’ll feel right at home.

Ideally, you have the following qualifications:

Are currently studying computer science, AI, electrical engineering, or a related field.
In your final bachelor year or master's
Strong analytical and problem-solving skills
Interest in machine learning, signal processing, IoT or sensor fusion.
Experience with programming like C(++) and Python.

It’s a bonus if:

Have previously worked with sensor data fusion or IoT datasets.
Have experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learnx).
Enjoy research-oriented projects and experimentation.

About Crownstone

This internship is at one of our daughter companies, namely Crownstone. Crownstone develops BLE-based smart-building and indoor sensing technology. For this project, Crownstone data will be combined with complementary sensors to create a genuinely multimodal edge-AI system.

We are a small, flat organisation with short communication lines. You will have room to work independently, test ideas and turn research into working prototypes. If you enjoy taking initiative, have many ideas, and wish to execute them, you’ll feel right at home.

We offer

Real hands-on experience: Apply what you’ve learned in your studies to real-life situations
Guidance and mentorship from experienced engineers and researchers.
A peek into the international tech scene
Build a network with industry pros
A real R&D challenge with direct practical relevance.
A hybrid working environment in Rotterdam.

Interested? Apply now!

Job Type: Internship

Pay: €400,00 per month

Ability to commute/relocate:

3013 Rotterdam: Reliably commute or planning to relocate before starting work (Required)

Work authorization:

Netherlands (Required)

Work Location: Hybrid remote in 3013 Rotterdam

Snel solliciteren

Verfijn je zoekopdracht

machine learning engineer vacatures in 2552 den haag

Internship: Sensor Data Fusion and Machine Learning for Human Activity Detection

Machine Learning-ai Engineer

Data scientist

AI Engineer / Python Developer

Machine Learning Engineer

stage Onderzoek en Ontwikkeling RAG-systeem

Internship- Mechanical Design & Integration

Senior Data Scientist

Senior machine learning engineer

Machine learning Engineer

Machine Learning Engineer

Internship AI & Machine Learning

AI Developer

Machine Learning Engineer - Recommendation

Machine Learning Engineer - Energy Management

Senior Data Scientist

Data Scientist

AI Engineer

Machine Learning Engineer - Fulfillment

Vacature: Lead Machine Learning Engineer - View vacancy

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