20 beste vacatures voor de functie van machine learning in naaldwijk (nieuwe medewerkers gezocht)

Internship: Sensor Data Fusion and Machine Learning for Human Activity Detection
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- € 400 per maand
- Hybride werken
- Master
- Analytisch vermogen
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Snel solliciteren
9 dagen
PhD Position Learning and Control for Complex Large-Scale Systems with Applications in Greenhouses
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- Online sollicitatie
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- Budget voor professionele ontwikkeling
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- Online sollicitatie
- Doctor
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PhD Position Cognitive Guidance in XR to Improve Independent Mobility for People with Disabilities
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- € 615 per maand
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- Microsoft Excel
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Research Software Engineer
TU Delft —Delft
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Intrameo —Rijswijk
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Assistant/Associate Professor in Computer Vision and Deep Learning
TU Delft —Delft
- € 4.728 - € 8.673 per maand
- Online sollicitatie
- Doctor
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2027 | EMEA | The Hague | Engineering | Seasonal/Off Cycle Internship
Goldman Sachs —Den Haag
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MonoBot Robotics B.V. —Den Haag
- € 84.000 per jaar
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Snel solliciteren
Software Developer (VBA developer with Python skills)
ARHS —Den Haag
- Fulltime
- Microsoft Excel
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- Azure
Snel solliciteren
PhD Position eXtended Reality for Inclusive Automated Vehicle Interaction
TU Delft —Delft
- € 3.059 - € 3.881 per maand
- Online sollicitatie
- Doctor
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Software Engineer (Open Source - 4TU.ResearchData)
TU Delft —Delft
- € 4.728 - € 6.433 per maand
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Data Quality Specialist - German, AGI Data Services - G T Quality
Amazon Development Center (Netherlands) B.V. - C80 —Den Haag
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Postdoc Predicting & Mitigating Liquid Copper Infiltration in Steels via Atomistic Simulations
TU Delft —Delft
- € 3.706 - € 5.760 per maand
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- Budget voor professionele ontwikkeling
9 dagen
Internship AI & Machine Learning
everox —Rotterdam
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Internship: Sensor Data Fusion and Machine Learning for Human Activity Detection

Almende
Rotterdam

Snel solliciteren

Vacaturegegevens

Stage
€ 400 per maand
9 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 vacatures in naaldwijk

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

PhD Position Learning and Control for Complex Large-Scale Systems with Applications in Greenhouses

Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction

Postdoc Multi-Scale Mechanobiological Cardiac Growth and Remodelling

Data Scientist Intern

PhD Position Cognitive Guidance in XR to Improve Independent Mobility for People with Disabilities

Scientist Radar Surveillance & Countermeasures

Internship: Research into a Compact Cutter Bar Drive for the Lely Exos

Internship | Machine Learning for Smart Gas Flow Metering in Future Energy Systems

Research Software Engineer

Data Scientist

Assistant/Associate Professor in Computer Vision and Deep Learning

2027 | EMEA | The Hague | Engineering | Seasonal/Off Cycle Internship

Robotica-applicatie-ingenieur

Software Developer (VBA developer with Python skills)

PhD Position eXtended Reality for Inclusive Automated Vehicle Interaction

Software Engineer (Open Source - 4TU.ResearchData)

Data Quality Specialist - German, AGI Data Services - G T Quality

Postdoc Predicting & Mitigating Liquid Copper Infiltration in Steels via Atomistic Simulations

Internship AI & Machine Learning

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning in naaldwijk

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