Internship Electronic Systems & Iot Wireless Connectivity jobs at Philips in Netherlands, Eindhoven

Start date: November 1st, 2025

Duration: 5-6 months (with possibility to extend)

Type:Internship, (thesis possible)

Weekly presence:32-40 hours

Job title:

Internship: Software Development Engineer / Website Developer

Your role:

• Develop a responsive and visually appealing website using modern frameworks

• Implement an interactive cost calculator that allows users to input expected service usage information and get instant costs based on price list

• Ensure the website is optimized for performance

• Integrate back-end logic for data processing and storage

• Develop unit, component and system tests to assure proper quality and conformance with requirements

You're the right fit if:

• You are studying towards a BSc (last year) or MSc insoftware engineering/computer science.

• You are interested in cloud development such as AWS

• Basic to intermediate knowledge of modern web development (front-end and back-end)

• Some experience with building websites(academic, internship or professional)

• Ability to work independently and deliver within agreed timelines

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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Project Title:Deep learning-based enhancement of parametric stereo audio compression

Project Duration:6 months

In parametric stereo coding, a stereo audio signal is downmixed to a mono signal, and stereo parameters are estimated and transmitted to the decoder. At the decoder, the stereo signal is reconstructed using the mono downmix and the transmitted stereo parameters. While performance has been promising, further improvements and evaluations are necessary.

Key Tasks and Deliverables:

• Literature Review and Familiarization
• System Performance Verification
• Quantizer Integration and Evaluation
• Latent variable size analysis
• Exploration of Alternate Architectures
• Final Report and Presentation

Required Skills:

• Master’s student in the field of Electrical Engineering\ Computer Engineering with good understanding and enthusiasm for learning about neural networks and deep learning frameworks.
• Proficiency in Python and relevant libraries (PyTorch, Torchaudio).
• Familiarity with audio signal processing/coding concepts (e.g., down/up-mixing, quantization).
• Analytical skills to evaluate different neural network architectures.

Supervision and Support:The student will have access to the necessary computational resources and audio datasets required for the project. Regular meetings will be held to discuss progress, address challenges, and refine approaches.

The student’s performance will be assessed based on regular progress reports, the final report, the quality of the proposed solutions, and the effectiveness of the implemented modifications.

Onsite roles require full-time presence in the company’s facilities.

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .

Our intern remuneration package:

• Monthly full-time allowance between €500 - €700 gross, depending on educational level and if you would need to relocate to The Netherlands. If you will perform a part-time internship you will receive the allowance pro-rata.
• Housing compensation, in case of relocating to the vicinity of the office, €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. You need to provide a rental contract of the land lord, and your normal home-work travel distance need to be more than 50 km or travel time (one way trip) need to be more than 1.5 hours.
• Travel compensation, if you are not eligible for a free public transport card; you will receive max. €192,- net depending on the distance between your home address and the Philips location.
• Paid holidays per internship term.
• The opportunity to buy Philips equipment at our Philips shop

Please note that to be considered for an internship, you need to be registered as a student during the entire internship period. Formal documentation of which may be requested at any time. Please note that the contents of our regular internship assignments are not suitable for professionals (and/or MBA students) with professional work experience

Start date: ASAP, ultimately September 2025.

Duration: at least 6 months

Type: Internship, no thesis support.

Weekly presence in hours: 32-40 hours (40 hours preferred)

As a member of IGT Europe Sales organization, you will work with experienced international Healthcare Consultants on customer projects across Europe, supporting them in their transformation journey and the optimization of their patient pathways, workflows and operational performance.

Your role

• Project management of consulting projects and providing support with consultancy services standardization.

• Support in customer-related material, such as consultancy service proposals, presentations, tender descriptions, etc.

• Being a key driver in the execution (delivery) of consultancy projects for IGT Europe. Activities ranging from data analytics (e.g. to optimize operational performance), project management activities and business operational requirements (e.g. staff/patient workflow optimization).

• Actively contribute to support IGT Europe Consulting internal and external communication, such as helping writing customer testimonials and Case studies of projects performed, and publishing them on the dedicated media.

You’re the right fit if:

• A Bachelor/Master ’s in e.g. Healthcare, Business, Science or Engineering (with a scope of project management) – potentially with an international or healthcare focus

• English proficiency is compulsory, additional languages could be beneficial for the role

• Experience in project management, process improvement methodologies and/or data analytics would be an asset

• Strong and open-minded team player who can work with various nationalities and cultures

Our intern remuneration package:

• Monthly full-time allowance between €500 - €700 gross, depending on educational level and if you would need to relocate to The Netherlands. If you perform a part-time internship, you will receive the allowance pro-rata.

• Housing compensation, in case of relocating to the vicinity of the office, €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. You need to provide a rental contract of the landlord, and your normal home-work travel distance need to be more than 50 km or travel time (one way trip) need to be more than 1.5 hours.

• Travel compensation, if you are not eligible for a free public transport card; you will receive max. €192,- net

• Paid holidays per internship term.

• The opportunity to buy Philips products at our Philips shop

Required documents for us to continue with your application:

Please note that to be considered for an internship, you need to be registered as a student during the entire internship period. Formal documentation of which may be requested at any time.

Please note that the contents of our regular internship assignments are not suitable for professionals (and/or MBA students) with professional work experience.

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The start date:January - March 2026

The length:minimum 6 months

The hours:40 hours/per week

It's possible to write a thesis with this internship

We're looking for enthusiastic and motivated students to help us advance this critical mission. As an intern or thesis student, you'll gain hands-on experience in interface design and development, data visualization, working with large-scale service data, applying analytical methods, and contributing to high-impact solutions.

Your role:

• Agentic Architecture Design: Design the robust architecture of the Agentic AI orchestration layer, defining its components for data intake, intelligent processing, and diagnostic output (e.g., using LangGraph).

• Diagnostic Reasoning Engine Development: Develop and integrate the core tools (AI/ML models and logical rules) that enable the orchestration layer to accurately infer specific equipment diagnostics and complex fleet trends.

• Insights & Evidence Generation: Generate diagnostics with supporting evidence. This includes providing supporting data along with visualizations, e.g. heat-maps, trends, correlations, that make complex insights easy to interpret and act upon.

You're the right fit if:

• Studying towards your Master degreein engineering, data science, AI, or any computer-related field

• Previous experience with agentic AI and the ability to work on an orchestration layer for AI agents

• Attention to details, structured, pro-active and independent working attitude

• Excellent English verbal and written skills.

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.

• Monthly full-time allowance between €500 - €700 gross, depending on educational level and if you would need to relocate to The Netherlands. If you will perform a part-time internship you will receive the allowance pro-rata.

• Housing compensation, in case of relocating to the vicinity of the office, €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. You need to provide a rental contract of the land lord, and your normal home-work travel distance need to be more than 50 km or travel time (one way trip) need to be more than 1.5 hours.

• Travel compensation, if you are not eligible for a free public transport card; you will receive max. €192,- net

• Paid holidays per internship term.

• The opportunity to buy Philips equipment at our Philips shop

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about .
• Discover .
• Learn more about .
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .

Start date: September or October 2025

Duration: min. 5-6 months, longer is possible and preferred

Type: thesis and non-thesis internship is possible

Modern medical imaging systems depend on real-time image processing to support physicians during minimally invasive procedures. These systems combine specialized hardware (e.g., FPGAs), embedded software, and PC-based applications to deliver high-performance, low-latency results.

As expectations for image quality, responsiveness and guidance increase, pre-trained AI models are becoming integral in areas like noise reduction, enhancement, and pattern recognition. While CPUs and GPUs are widely used for AI, FPGAs offer unique advantages: predictable timing, low latency, and hardware-level parallelism which is critical for real-time medical use cases.

To make AI deployment on FPGAs more accessible, new tools and frameworks allow engineers to implement inference models without writing low-level hardware description code. This opens opportunities to explore how existing trained models can be mapped to FPGA hardware using various flows.

Most AI models are developed and trained in high-level environments like Python and C++. Traditional FPGA development, using VHDL or Verilog, poses a barrier to rapidly deploying such models.

Emerging toolchains now support flows where trained models can be translated into synthesizable logic using high-level languages or model conversion frameworks. This assignment challenges the student to explore the state of the art in AI-on-FPGA inference, evaluate implementation options, and build a working prototype using a simple AI algorithm.

• Investigate the AI inference capabilities of the FPGA platforms used in medical imaging systems, focusing on hardware features such as DSP blocks, memory hierarchies, and parallel processing units.
• Conduct a survey of available toolchains and frameworks (e.g., Vitis AI, FINN, hls4ml, Brevitas, ONNX, Deep Learning IP cores) that enable mapping of pre-trained AI models to FPGA hardware.
• Summarize state-of-the-art trends in AI-on-FPGA deployment, with an emphasis on their relevance to real-time, safety-critical medical imaging applications.
• Perform a comparative study of FPGA development flows for AI inference:

• Low-level RTL (VHDL/Verilog)
• High-Level Synthesis (C++/SystemC)
• Model-to-hardware compilers and frameworks (e.g., FINN, hls4ml).

• Evaluate which types of AI models (e.g., quantized CNNs, MLPs, statistical algorithms) are most feasible for FPGA deployment.
• Assess common optimization techniques (quantization, pruning, fixed-point arithmetic) and their impact on resource usage, latency, and accuracy.
• Select a representative AI algorithm or lightweight statistical method relevant to medical image enhancement (e.g., noise reduction filter, basic classifier, or histogram-based analysis).
• Implement the algorithm, synthesize it to FPGA, where relevant, experiment with modern AI-to-FPGA frameworks.
• Optimize the design to balance accuracy, speed, and hardware efficiency.
• Integrate the implemented algorithm into a test pipeline with real or representative image data.
• Demonstrate functionality on FPGA hardware.
• Present a comprehensive evaluation covering performance, latency, resource usage, and feasibility for use in real-time medical imaging workflows.
• Provide recommendations for future work, highlighting opportunities for scaling to more complex AI models or clinical use cases.

Deliverables

• Research Report – Summary of FPGA capabilities, frameworks, and trends.

• Technology Evaluation – Comparative study of development flows, models, and optimizations.

• Prototype Package – Source code, synthesizable implementation, and reproducible build instructions.

• Demo & Results – Working demonstration with image data and performance evaluation.

• Final Presentation – Findings, results, and recommendations for future exploration.

You’re the right fit if

• Pursuing a Master degree in Electrical Engineering, Computer Engineering, or Artificial Intelligence.

• Experience with FPGA design (VHDL/Verilog) or High-Level Synthesis (C++/SystemC)

• Familiarity with AI/ML fundamentals (e.g., CNNs, quantization, pruning)

• Interest in FPGA AI toolchains (Vitis AI, FINN, Brevitas, hls4ml)

• Basic knowledge of Python for handling models and frameworks

• Research-oriented mindset with curiosity for new technologies

• Ability to balance theory with hands-on prototyping

• Strong communication skills for presenting results

In return, we offer you

A non-stop growth opportunity within a global multinational company. IN addition, we also want to remunerate you well for the opportunity. This includes:

• Monthly full-time allowance between €500 - €700 gross, depending on your education level and if you need to relocate to The Netherlands. Part-time internships receive the allowance pro-rata.

• Housing compensation. Should you need to relocate to near our office, we’ll offer you a monthly allowance of €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. To be eligible, we’ll just ask for the rental contract from your landlord, and your usual home-work travel distance needs to be more than 50 km or 1.5 hours of travel time (for a one way trip).

• Travel compensation, if you are not eligible for a free public transport card; you will receive max.€192,- net asa monthly allowance.

• Paid holidays per internship term.

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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Start date:

at least 6 months

Weekly presence:32-40 hours

Eindhoven HTC

Your role:

• Design, train, and evaluate NLP and LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction and named entity recognition, text generation, summarization, and more

• Clean, preprocess, and curate data for evaluation, fine-tuning, and training

• Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights

• Keep up the latest advancements in generative AI research and integrate new techniques into the development process

You're the right fit if:

• You hold Bachelor degree in Computer Science, Electrical Engineering, or a related field, and currently obtaining Master degree in a relevant field

• You have at least one year of hands-on experience developing NLP and ML/DL solutions in an academic or professional environment

• You are proficient in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch)

• You have a strong understanding of classic NLP and experience with with LLMs , such as RAG, prompt engineering, data synthesis, automatic evaluation, and fine-tuning

• You are familiar with cloud computing platforms

• You have excellent communication skills and a collaborative mindset are essential

• You have strong analytical and problem-solving skills, with attention to detail

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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Internship - Metal-Organic Frameworks Integration with Sensor devices

Project Title:

Metal-Organic Frameworks Integration with Sensor devices

Project Duration:

6 months (minimum for non-thesis) up to 9 months

Description of role

Your role:

You're the right fit if:

• Master’s student in the field of Chemistry, Chemical Engineering or material science

• Skilled with literature study, experimental design, lab work and data analysis.

• Experience in chemical R&D environment and affinity towards multidisciplinary research.

• Familiarity with material characterization and data processing techniques.

• Proficient in scientific writing and reporting.

We believe that we are better together than apart. The Lab work will require full-time presence in our facilities at the High Tech Campus in Eindhoven (NL).

• Monthly full-time allowance between €500 - €700 gross, depending on educational level and if you would need to relocate to The Netherlands. If you will perform a part-time internship you will receive the allowance pro-rata.

• Housing compensation, in case of relocating to the vicinity of the office, €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. You need to provide a rental contract of the land lord, and your normal home-work travel distance need to be more than 50 km or travel time (one way trip) need to be more than 1.5 hours.

• Travel compensation, if you are not eligible for a free public transport card; you will receive max. €192,- net

• Paid holidays per internship term.

• The opportunity to buy Philips equipment at our Philips shop

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