All internship vacancies can he found on their website here!

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

When you join us at Thermo Fisher Scientific, you’ll be part of an inquisitive team that shares your passion for exploration and discovery. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and chances to create significant contributions to the world.

Intern Ptychography

Embrace an outstanding opportunity to dive into the fascinating world of electron microscopy at Thermo Fisher Scientific Inc. in Eindhoven, Netherlands. Join our ambitious team and contribute to groundbreaking research with world-class resources!

Job Responsibilities

Assist in defining, developing, and deploying a ptychography workflow on the electron microscope Operate brand new electron microscopes for extensive testing of experimental settings Carry out comprehensive evaluations of digital data processing keeping customer needs in consideration Suggest improvements based on test results

Requirements

TEM experience is a plus Experience in Python and machine learning packages Currently pursuing a degree in Computer Science, Materials Science, Physics, or a related field Genuine enthusiasm for software development and data analysis Enthusiasm for wave optics

Join us to successfully implement innovative solutions that will determine the future of ptychography!

Apply today! http://jobs.thermofisher.com

Quantitative Trading Internship (2026 Start)

As our Quantitative Trading Intern, you’ll experience the heart of Optiver’s business while getting first-hand exposure to Amsterdam’s trading floor – one of the most exciting and dynamic in Europe. Under the guidance and support of industry experts, you’ll engage in simulated trading sessions that replicate real market conditions and work on projects that directly impact trading.

By the end of the ten week internship, you’ll be equipped with the skills and knowledge required to succeed as a Quantitative Trader at a top global trading firm.

What you’ll do

Requiring quick thinking, a critical mindset and bold action, our ten week internship is as close as you can get to experiencing what it’s like to be a trader. Led by our in-house education team which consists of ex-traders and ex-researchers, with over 40 years combined experience and solely focused on providing an exceptional internship experience. The comprehensive training program offers you the opportunity to:

Deep dive into trading fundamentals, from theoretical concepts to financial markets, strategies and cutting-edge technology Develop your trading skills and strategies by trading on live markets using real Optiver technology, with simulated capital Take part in a project with research components, deepening your understanding of how research supports trading decisions Gain exposure to various trading and research desks and experience the financial markets first-hand Push your limits and accelerate your growth in a fascinating and high-performing environment

Based on your performance during the internship, you could receive an offer to join our firm full-time after your studies.

What you’ll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

A highly competitive internship compensation package Optiver-covered flights and accommodation in the city centre for the duration of the internship Extensive office perks, including breakfast and lunch, world-class barista coffee and Friday afternoon drinks The opportunity to participate in sports and leisure activities, along with social events exclusively organised for your intern cohort

Who you are

Penultimate year student in a STEM field, with the ability to work full time upon graduation in 2027 Possesses exceptional quantitative and logical reasoning skills Interested in strategic games and/or competitive activities Experience in programming or scripting in Python is a plus

Diversity statement

Optiver is committed to diversity and inclusion.

We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. Please let us know if you would like to request any reasonable adjustments by contacting the Recruitment team via the contact form, selecting “Reasonable Adjustments” as the subject of your inquiry.

For answers to some of our most frequently asked questions, refer to our Campus FAQs.

For applicants based in India, our entry route is via the placement office internship hiring season (July/August).

As a Software Engineering Intern, you will work side-by-side with your mentor and teammates to build real-world applications. You will work on projects that further develop and optimize our systems and see contributions in real-time – testing and shipping your code to production. In our business, where the markets are always evolving, each day brings fresh challenges to solve.

What you’ll do

During the ten week internship, you will be mentored by Optiver engineers, play a key role in advancing our world-class trading systems and work on projects that push the boundaries of performance and efficiency. You will:

Deep dive into trading fundamentals, from theoretical concepts to financial markets, strategies and cutting-edge technology Work closely with senior engineers and traders to design, develop, test, and ship your code to production Tackle complex, real-world problems to enhance your critical thinking and problem-solving skills

Based on your performance during the internship, you could receive an offer to join our firm full-time after your studies.

What you’ll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

A highly competitive internship compensation package Optiver-covered flights and accommodation in the city centre for the duration of the internship Extensive office perks, including breakfast and lunch, world-class barista coffee and Friday afternoon drinks The opportunity to participate in sports and leisure activities, along with social events exclusively organised for your intern cohort

Who you are

Penultimate year student in Computer Science, Computer Engineering or equivalent, with the ability to work full time upon graduation in 2027 Passionate for clean code, simple, well-architected systems and continuous improvement Proficient in industry-standard coding languages such as C++, Python, or Java, with a strong understanding of underlying computer architecture and system operations Have an entrepreneurial attitude and an interest in the financial industry An analytical mindset and strong problem-solving skills Able to work closely with other engineers, traders and business operations

Diversity statement

Optiver is committed to diversity and inclusion.

We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. Please let us know if you would like to request any reasonable adjustments by contacting the Recruitment team via the contact form, selecting “Reasonable Adjustments” as the subject of your inquiry.

For answers to some of our most frequently asked questions, refer to our Campus FAQs.

For applicants based in India, our entry route is via the placement office internship hiring season (July/August).

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

Het CBS trekt steekproeven onder de Nederlandse bevolking om diverse statistieken te maken. Hierbij is sprake van selectieve nonrespons. Er worden diverse pogingen worden gedaan om de respons zo gelijkmatig mogelijk te laten zijn (naar diverse achtergrondkenmerken van personen). Om voor deze nonrespons te corrigeren, voeren we een zogenaamde weging uit, waarbij personen een gewicht krijgen op basis van een combinatie van het steekproefontwerp (wat resulteert in het zogenaamde startgewicht) en de onder- of oververtegenwoordiging in de respons.  Personen met achtergrondkenmerken die ondervertegenwoordigd zijn in de respons krijgen dan uiteindelijk een groter gewicht dan personen met achtergrondkenmerken die oververtegenwoordigd zijn (als het startgewicht hetzelfde is). Zie bijvoorbeeld [1] voor algemene informatie over wegen.

Deze stage gaat over het uitvoeren van wegingen voor zogenaamde herbenaderingen. Dit zijn onderzoeken waarbij personen worden aangeschreven die al eerder aan een CBS-onderzoek hebben deelgenomen. Het is de vraag wat handig is om als startgewicht te gebruiken. Deze zou gekozen kunnen worden op basis van het eerste CBS-onderzoek waar een persoon aan heeft deelgenomen. Voor het originele onderzoek is echter ook een weging uitgevoerd en het startgewicht voor de herbenadering zou ook gekozen kunnen worden als het gewicht na de weging van het originele onderzoek. Dan heeft er dus al een correctie voor nonrespons plaatsgevonden en kan er bij de herbenadering “verder” gewogen worden voor de eventuele extra onder- of oververtegenwoordiging bij de herbenadering.

In deze stage is het de bedoeling om verschillen tussen de twee opties in kaart te brengen. Zijn er verschillen en zo ja hoe groot zijn die? Als er een verschil is, is het zeer interessant om te kijken of het mogelijk is om te achterhalen waarom die verschillen er zijn en welke optie de voorkeur zou hebben.

Referenties

[1] https://www.cbs.nl/nl-nl/onze-diensten/methoden/statistische-methoden/throughput/throughput/wegen-als-correctie-voor-non-respons

As a Quantitative Research Intern, you will get to work with our research team of mathematicians, scientists and technologists, to help develop the models that drive Optiver’s trading. You will tackle a practical research challenge that has impact and directly influences Optiver’s trading decisions. In our business, where the markets are always evolving, you will use your skills to predict its movements.

What you’ll do

Led by our in-house education team, you will delve into trading fundamentals and engage in research projects that make a real difference. You will enhance your understanding of trading principles and gain hands-on experience by trading on live markets using real Optiver technology, with simulated capital. For the ten-week internship, you will get support from experienced researchers during your research project work, providing you exposure to a variety of areas, including:

Deep dive into trading and research fundamentals, from theoretical concepts to financial markets, strategies and cutting-edge technology Using statistical models and machine learning to develop trading algorithms Leveraging big data technologies to analyse trading strategies and financial instruments to identify trading opportunities Combining quantitative analysis and high-performance implementation to ensure efficiency and accuracy of your models Gain exposure to various trading and research desks and experience the financial markets first-hand

Based on your performance during the internship, you could receive an offer to join our firm full-time after your studies.

What you’ll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

A highly competitive internship compensation package Optiver-covered flights and accommodation in the city centre for the duration of the internship Extensive office perks, including breakfast and lunch, world-class barista coffee and Friday afternoon drinks The opportunity to participate in sports and leisure activities, along with social events exclusively organised for your intern cohort

Who you are

Penultimate year student in Mathematics, Statistics, Computer Science, Physics or a related STEM field, with the ability to work full time upon graduation in 2027 Solid foundation in mathematics, probability and statistics Excellent research, analytical and modelling skills Independent research experience Proficiency in any programming language Knowledge of machine learning, time-series analysis and pattern recognition is a plus Strong interest in working in a fast-paced, collaborative environment Fluent in English with strong written and verbal communication skills

Diversity statement

Optiver is committed to diversity and inclusion.

We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. Please let us know if you would like to request any reasonable adjustments by contacting the Recruitment team via the contact form, selecting “Reasonable Adjustments” as the subject of your inquiry.

For answers to some of our most frequently asked questions, refer to our Campus FAQs.

For applicants based in India, our entry route is via the placement office internship hiring season (July/August).

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

Het CBS trekt steekproeven onder de Nederlandse bevolking om diverse statistieken te maken. Hierbij is sprake van selectieve nonrespons. Er worden diverse pogingen worden gedaan om de respons zo gelijkmatig mogelijk te laten zijn (naar diverse achtergrondkenmerken van personen). Om voor deze nonrespons te corrigeren, voeren we een zogenaamde weging uit, waarbij personen een gewicht krijgen op basis van de onder- of oververtegenwoordiging in de respons. Personen met achtergrondkenmerken die ondervertegenwoordigd zijn in de respons krijgen dan een groter gewicht dan personen met achtergrondkenmerken die oververtegenwoordigd zijn. Zie bijvoorbeeld [1] voor algemene informatie over wegen.

Bij het uitvoeren van een weging zijn er diverse zaken om rekening mee te houden. Zo kan niet voor scheefheid in alle achtergrondkenmerken gecorrigeerd worden, omdat de gewichten dan te extreem zouden worden. Daarnaast is het vaak verstandig om überhaupt voor niet te veel achtergrondkenmerken te corrigeren omdat dit een negatieve invloed heeft op de marges op de schattingen voor de doelvariabelen van een onderzoek. Ook is er een relatie met de doelvariabelen in het onderzoek: op het moment dat er een correlatie is tussen een achtergrondkenmerk en de doelvariabelen van een onderzoek, is het wenselijk als er wél gecorrigeerd wordt voor dat achtergrondkenmerk als dat kenmerk scheef in de respons zit. Het is daarom vaak verstandig om toch zo veel mogelijk te corrigeren voor scheefheid in achtergrondkenmerken.

Het CBS heeft een reguliere werkwijze voor het opstellen en uitvoeren van wegingen voor de reguliere onderzoeken. Een optie die nog niet gebruikt wordt, maar wel interessant lijkt is het uitvoeren van een zogenaamde voorweging. Hierbij wordt min of meer de weging in twee stappen gedaan, waardoor er mogelijk voor meer en/of voor andere achtergrondkenmerken gecorrigeerd kan worden. Wellicht is het mogelijk om eerst een correctie uit te voeren voor nonrespons en vervolgens een verdere weging uit te voeren die meer focust op de doelvariabelen van het onderzoek en achtergrondkenmerken die daarmee correleren. Dit soort type vragen speelt zowel bij de reguliere steekproeven die op het CBS worden uitgevoerd als bij potentiële nieuwe toepassingen.

In deze stage ga je aan de slag om verschillende opties voor de weging te analyseren en te kijken naar verschillen tussen deze opties. Op basis van enkele indicatoren kan er wellicht een afweging worden gemaakt van wat welke situatie de voorkeur krijgt.

Referenties

[1] https://www.cbs.nl/nl-nl/onze-diensten/methoden/statistische-methoden/throughput/throughput/wegen-als-correctie-voor-non-respons