דרושים Data & Ai Scientist ב-Philips ב-Netherlands, Eindhoven

You're the right fit if:

• Bachelor’s Degree inInformation Technologyor related field. Master's degree is preferred.

How we work together

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.

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

Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

This role is an office-based role.

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 .

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.
• Learn more about .
• Discover .
• Learn more about .

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.
• Learn more about .
• Discover .
• Learn more about .

High School Diploma plus Active student status/enrollment at the University, College or Vocational Education.
No prior experience required.Internship: Supply Chain Data Analyst/Scientist ( 6-12months)• Aids in the management of a dedicated departmental support process which has a direct impact on Philips' med-tech products (e.g. production processes within Manufacturing) by collaborating with different stakeholders to ensure smooth operations, demonstrating great inter-personal and communication skills.
• Supports the day-to-day activities of a dedicated department, typically involving hands-on, operational tasks essential for maintaining production flow, ensuring product quality, managing inventory, providing technical support etc. to meet dynamic environment and continuous improvement goals, exercising autonomy within established procedures.
• Conducts research on relevant topics and areas as requested by the manager/supervisor by investigating current trends, industry best practices and competitive landscape to provide comprehensive insights and support the strategic direction of ongoing projects and initiatives.
• Analyzes data related to departmental projects as requested by the manager/supervisor, identifying significant trends, patterns, and anomalies, and delivering actionable recommendations that drive data-informed decision-making.
• Participates in team meetings, contributing innovative ideas and strategic input, while also capturing detailed minutes that accurately reflect discussions, decisions, and action items, ensuring effective communication and follow-up within the team.
• Assists in preparation and presentation of reports or findings for internal and external stakeholders as required by manager/supervisor, ensuring that all findings are presented with utmost accuracy and clarity.
• Organizes and maintains departmental documentation and files by systematically categorizing and filing records, reports, and other essential documents to ensure they are easily accessible and retrievable, thereby enhancing the department's operational efficiency and compliance with regulatory requirements.
• Maintains up to date knowledge of industry trends, developments, and best practices and learns technical skills related to industry, exhibiting a commercial and growth mindset.

• Stakeholder Management
• Business Acumen
• Document Management
• Root Cause Analysis (RCA)
• Research & Analysis
• Documentation & Reporting
• Microsoft Office
• Technical Acumen
• Technical Presentations
• Market Intelligence

• Python

How we work together

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 .

You will be responsible for designing a new circuitry for new products and replacing ageing/obsolete parts and improving the performance of sophisticated medical equipment. Your design work will include embedded systems, digital and analog circuitry, power supplies and connectivity interfaces. You will support the assurance of supply of our products by resolving component obsolescence issues. You will drive the quality and performance of our products by identifying opportunities for improvement in the field, supplier and manufacturing data. You will support the manufacturing engineering team in troubleshooting and resolving issues discovered during production. You are responsible for all aspects of design documentation including requirements specification, engineering analysis, schematic capture, test plans/procedures, verification, the release of circuit boards and products to production, and production start-up support.
Your role:

• Create robust, reliable electrical board/system designs for critical care medical equipment with complex hardware and regulatory requirements.

• Design test plans as per requirements.

• Testing of the developed boards for verification.

• Develop and document designs in compliance with Quality System requirements.

• Integrate new technology, techniques, and concepts to enhance functionality, simplify designs, improve reliability, and reduce production costs.

• Work with Manufacturing Engineering and contract manufacturers to plan and execute Design for Manufacturability and Design for Testability activities

BEHAVIORS: The successful candidate will demonstrate:

• The ability to efficiently analyze and resolve complex technical issues and evaluate tradeoffs to resolve technical problems and achieve overall project objectives

• Strong technical competency

• The ability to meet project commitments (schedule, cost, and project goals)

• Ability to work in cross-functional teams

• Ability to work independently

• A history of robust, reliable and innovative designs

• A history of cooperation and technical leadership

• Excellent verbal and written communication skills

• Ability to handle multiple project assignments.

You're the right fit if:

This position requires a minimum of a BE in Electrical/Electronics/Computer Engineering from an accredited university.

• 10-12 years of experience in Embedded hardware design with 16/32-bitmicro-processor/controller-based systems, with demonstrated success carrying projects through to a robust, verified, producible design and volume production

• 5+ years of experience on STM microcontroller-based design.

• Good working experience in Wireless technology Bluetooth/BLE, Wi-Fi , LTE (4G/5G) , NFC.

• Hands-on experience on SPI, I2C, UART, PWM, ADC, DAC, Memories, USB, CAN, Ethernet.

• Microprocessor development Hands on Knowledge of System - (domain knowledge for designs SW, HW, Mech system)

• Strong experience with design for test/built-in test, worst case analysis, timing analysis, etc.

• Must be proficient with CAE tools such as Spice, Schematic Capture as well as experienced with Layout tools

• Previous electronic design experience in a regulated environment (preferably medical device industry)

• EMC compliant circuit and circuit board design.

• Troubleshooting of complex electronics systems.

• Power Supply, Battery Management, Analog Circuitry

• Experience using laboratory tools equipment such as oscilloscopes, DMM’s, Power supplies, Signal generators, analyzers, soldering stations etc.

• Experience interacting directly with suppliers,operation/manufacturingservices, and engineering support services.

This is an office role.
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 .

Starting Date: September 2025

: 6-12 months (flexible) for 40 hours per week

: Eindhoven

Could be suitable for thesis (students needs to bring topic)

Your role:

You will be part of the Harmonized Business Case Team of Philips, which is embedded in the Finance organization. This team is responsible for building and developing the database that supports financial models for the quotation and delivery of long-term strategic partnerships. Besides capturing the data the team is responsible for properly storing and dashboarding the data/information to several Stakeholders in many different roles Globally. And enabling the re-use of this data automatically in as many as possible places.Your responsibility is towards the sustainable use of the model and includes

• You will implement new objects into our database, improve the processes around Azure SQL Database, define and Use Azure Pipelines, analyze and test on complex queries before being delivered to the customers, get a (pragmatical/real life ) understanding of CI/CD and Git, experience Agile project development should be removed and replace with and you will get an understanding of P&L, NPV, Cash flow and Balance sheet.

• Implement and test new functionalities on database, updating the test scripts and supporting Database objects consumed by reports; supporting the documentation of our processes.

• Create/maintain new/existing technical documents/work instructions (for developers and technical team)

• Supporting training and presentations of new/existing functionalities for technical team

• Supporting the development of calculations in our database

You're the right fit if:

• You are studying for Master degree in finance related field such as Finance, Accounting and Economics.

• You have an excellent understanding of Microsoft Excel. Good knowledge of VBA and T-SQL would be a plus.

• You havestrong analytical and problem-solving execution skills andorganizational skills to work in a structured way and maintain a holistic focus

• You are fluent in English, interested to work in an Agile way and not scared of being a change

How we work together

• Monthly full-time allowance between €500 - €700 gross, depending on educational level. 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 .