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Mit Tempo ins Berufsleben.

Die richtung bestimmst du selbst – mit dem graduate program bei zeiss..

Du willst schon bald nach dem Studium Verantwortung übernehmen und perspektivisch zu einem Experten in Deinem Team werden? Du willst früh in Deinem Berufsleben ein tiefes Verständnis über Märkte, Produkte und Netzwerke eines globalen Technologieführers entwickeln? Mit dem Graduate Program schickt Dich ZEISS auf Deinen individuellen Weg. Dabei steht Deine Entwicklung im Vordergrund – fachlich und persönlich.

Du rotierst durch verschiedene Fachbereiche und baust Dein persönliches Netzwerk auf, um später erfolgreich in Deine zukünftige Rolle zu starten. Das Graduate Program schafft die ideale Basis für Deinen Einstieg bei ZEISS. Die Richtung bestimmst Du selbst.

Das Graduate Program im Überblick

Während der 18 Monate rotierst Du durch vier unterschiedliche Stationen bei ZEISS, die in den verschiedenen Geschäftsbereichen und optional auch im Ausland angesiedelt sind. Welche Abteilungen das sind, hängt von Deinem gewählten Schwerpunkt und Deiner künftigen Rolle ab. Außerdem nimmst Du während des Programms an mehreren Trainings, Workshops und Projektarbeiten zur fachlichen und persönlichen Entwicklung teil. Das alles mit dem Ziel, dass Du nach dem Programm mit den Basics vertraut bist, um durchzustarten. Das Programm startet jeweils im Oktober und April, die Stellen dazu werden gewöhnlich ein halbes Jahr im Voraus (Oktober und April) ausgeschrieben.

• Du hast einen Hochschulabschluss
• Erste einschlägige praktische Erfahrungen (mindestens sechs Monate, maximal 1,5 Jahre an Praktika oder Berufserfahrung im jeweiligen Bereich)
• Fließende Englischkenntnisse
• Außeruniversitäres Engagement
• Du hast Lust, Zukunftsmärkte in Bereichen wie Digitalisierung, Medizintechnik oder Industrie 4.0 mitzugestalten
• Du zeigst Eigeninitiative, Motivation, Lust auf Eigenverantwortung, Lernbereitschaft und Teamgeist und möchtest Veränderungen vorantreiben
• Du schreckst nicht davor zurück, anspruchsvolle Projektaufgaben und deren Herausforderungen zu meistern
• Bereitschaft an einem deutschen ZEISS Standort zu arbeiten

Das Auswahlverfahren des ZEISS Graduate Programs läuft in mehreren Stufen ab:

Gemeinsam gestalten wir heute das Morgen

ZEISS ist Technologie. ZEISS ist Optik und Innovation. Wir entwickeln, fertigen und vertreiben für unsere Kunden in einer Vielzahl von Geschäftsfeldern hochinnovative Produkte und Lösungen.

Unsere Sparten

• Semiconductor Manufacturing Technology
• Industrial Quality & Research
• Medical Technology
• Consumer Markets

Stellenangebote

Graduate program, werkstudent im bereich projektmanagement (m/w/x), others jena, thüringen, deutschland, werkstudent im supply chain management (m/w/x), semiconductor manufacturing technology oberkochen, baden-württemberg, deutschland, internship large data, research microscopy solutions munich, bavaria, germany, praktikant marketing zahnheilkunde (m/w/x), medical technology oberkochen, baden-württemberg, deutschland, praktikant it-pmo (m/w/x), weitere stellenangebote, antworten auf die am häufigsten gestellten fragen.

Wie und wann kann ich mich bewerben?

Unser Auswahlverfahren startet im Frühling oder Herbst. Sobald die Stellen ausgeschrieben sind, kannst Du Dich über unser Online-Bewerbungsportal bewerben. Fülle nach der Registrierung alle Felder vollständig aus und lade Deine Bewerbungsunterlagen hoch.

Welche Dokumente sollte ich meiner Bewerbung beifügen?

Damit wir uns ein umfassendes Bild machen können, reiche bitte einen Lebenslauf sowie idealerweise noch ein Bewerbungsschreiben, Nachweise über Praktika und ein aktuelles Notenblatt oder Abschlusszeugnis ein.

Die einzelnen Dokumente sollten eine Größe von 5 MB nicht überschreiten.

Wie läuft der Bewerbungsprozess?

Damit Du uns und wir Dich am besten kennenlernen können, besteht der Bewerbungsprozess aus drei Stufen. Hat uns Deine Bewerbung neugierig gemacht, erhältst du eine Einladung zum Onlinetest. Du hast dann 7 Tage Zeit, den Test zu absolvieren. Zu diesem Test gehören u.a. Aufgaben zum logischen Denken und Fragen zu Deiner Persönlichkeit. Im zweiten Schritt lernst Du Vertreter/innen des Fachbereichs und den Recruiter/die Recruiterin in einem Videointerview kennen. Hast du auch diese Stufe erfolgreich gemeistert, erfolgt die Einladung zum Bewerbertag bei ZEISS vor Ort.  

Ist auch eine Bewerbung mit Berufserfahrung möglich?

Unser Programm richtet sich primär an Absolventen, daher solltest Du bisher maximal 1,5 Jahre praktische Erfahrung gesammelt haben. Schau Dich gerne andernfalls auf unserer Karriereseite für den Direkteinstieg um.

Gibt es einen festgelegten Stationsverlauf?

Die Stationen, die Du besuchst, richten sich nach dem von Dir gewählten Schwerpunkt. Manche Abteilungen solltest Du unbedingt gesehen haben, andere können von Dir und Deiner Führungskraft festgelegt werden. Dabei spielen Dein Erfahrungshintergrund und aktuelle Projekte eine entscheidende Rolle.

MSc Thesis (jointly with Carl Zeiss Meditec AG): Large language models to streamline scientific research workflows

This collaborative research project will explore the use of conversational AI to streamline scientific research workflows. Emphasis will be placed on the use of large language models and innovative data storage solutions to enable human interaction with large scientific databases. Building upon initial results, the project will further explore the ability to integrate continual learning with the developed tools. The prospective student work in the AI and Machine Learning R&D team at Carl ZEISS Meditec AG, while also being part of the Lab for AI in Medicine at TUM.

Your qualifications:

• Advanced knowledge of machine learning and image processing.
• Demonstrated prior research experience in one of the fields of deep learning, computer vision, natural language processing or robotics.
• Excellent programming background in Python as well as PyTorch or Tensorflow.
• Strong collaboration skills and written and spoken proficiency in English.
• Full-time commitment to your Master’s thesis research.
• Be part of an exciting collaboration between academia and industry and work with experts in machine learning from TUM and Carl Zeiss Meditec AG.
• A contract and salary as student employee at Zeiss.
• An exciting research project with many opportunities to bring in your own ideas.
• Close supervision and access to state-of-the-art computer hardware.

To apply please send an email Christoph Dinh ( [email protected] ), Raja Judeh ( [email protected] ) and Martin Menten ( [email protected] ) with your CV and a recent transcript of records.

Martin Menten

Research scientist.

My research interests include weakly and unsupervised learning, generative modeling and their applications in opthamology

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Master Thesis - Data Scientist (f/m/x)

Applications have closed.

• @zeiss_group

ZEISS Group

View company page

Posted 5 months ago

Write your Master Thesis, possibly in combination with a prior Internship

Conduct comprehensive research on advanced statistical methods and time series forecasting techniques applicable to sales forecasting (with multivariate time series models)

Collaborate with our Data Science Team to analyze extensive sales data, identifying statistical patterns and trends

Contribute to the development of sophisticated statistical models for accurate sales forecasting, leveraging your statistical expertise

Engage in practical, hands-on projects that involve real-time business scenarios, providing an opportunity to apply statistical knowledge in a corporate setting

Work closely with cross-functional teams, including statisticians, data scientists, and business analysts, to integrate statistical insights into our forecasting models

Your Profile

Currently pursuing a Master’s Degree in Data Science, Statistics, Mathematics, Computer Science or similar and a completed bachelor's degree in the mentioned fields

Proficiency in programming languages like Python or R

Solid understanding of the theory behind machine learning algorithms and statistical modeling techniques

Strong problem-solving skills and attention to detail

You are a team player and like to interact with other departments

You feel comfortable communicating in English (German is a plus)

Work in a dynamic team in a flexible working model (mobile working)

Your ZEISS Recruiting Team:

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Machine Learning Mathematics Python R Research Statistical modeling Statistics

Perks/benefits: Flex hours

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Help needed with master thesis at ZEISS

#1 Post by lawie » Fri Feb 18, 2022 7:37 pm

Re: Help needed with master thesis at ZEISS

#2 Post by mikemarotta » Wed Feb 23, 2022 12:14 pm

lawie wrote: ↑ Fri Feb 18, 2022 7:37 pm ... but I'm trying to gather behavioral science insights in the digital domain.

#3 Post by lawie » Fri Feb 25, 2022 9:13 pm

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Help needed with ZEISS master thesis

my name is Larissa and I am currently writing my master thesis at ZEISS. Unlike the most of you, I’m not doing research with microscopes, but I’m trying to gather behavioral science insights in the digital domain. With the help of a survey I am trying to find out how microscopy customers of ZEISS perceive our website.

You would help me a lot if you could take 10 min and participate in the study. For every completed survey ZEISS will plant a tree.

Link to the survey: Survey

Here is another forum you could post this request too:

Related Topics

Materials Science Alum Wins Jeffery C. Gibeling Master's Thesis Excellence Award

• by Jessica Heath
• May 20, 2024

The University of California, Davis, College of Engineering has announced Margaret Duncan as the recipient of the Jeffery C. Gibeling Master's Thesis Excellence Award. Duncan earned her master's degree in materials science and engineering in 2023 under the mentorship of Professor of Materials Science and Engineering Marina Leite .   

The annual award is named for Professor Emeritus of Materials Science and Engineering Jeffery Gibeling , who served as the college's interim dean in 2021. It recognizes the master's student who submitted the best master's thesis as well as the mentorship of their major professor.  

"I'm very thankful," said Duncan. "It's a true honor to receive this award. I'm also incredibly grateful to all the other amazing scientists I had the privilege to work with during my degree, especially my advisor, Professor Marina Leite, whose mentorship and guidance helped me grow into the researcher I am today."   

Duncan's master's thesis, titled "High-Temperature Optics with Refractory Materials," studied the effects of temperature on the optical properties of refractory materials. Refractory materials are a class of high-temperature stable materials that are well known for their physical and thermal stability at high temperatures but whose optical properties have gone unstudied prior to Duncan's research.   

Her project was part of a collaborative effort funded by the Defense Advanced Research Projects Agency, or DARPA, which aimed at discovering and developing materials that could work as an optical emitter for thermophotovoltaics to maximize the efficiency of photovoltaic devices.   

Under Leite's mentorship, Duncan was responsible for key aspects of the DARPA project, performing material fabrication and optical characterization while primarily using the College of Engineering's Center for Nano-MicroManufacturing to quantify the behavior of each material in varying environments and simulate their optical response.  

Duncan, Leite says, is a testament to her program, her college and her university.   

"Margaret was an outstanding student who made substantial progress in research on photonics during her time at UC Davis," she said. "Her project is at the forefront of materials science research, and I am very pleased to see that her talent as a researcher has been recognized by the College of Engineering. She is an ambassador of our program — a student with excellent computational and experimental knowledge and exquisite presentation skills."   

Duncan's thesis includes an analysis of the optical properties of refractory metals and their oxides, nitrides and carbides, as well as an analysis of their optical and chemical responses to high-temperature experiments and their stability. She also investigated possible applications of each structure, including superabsorption (a material's ability to absorb and retain liquid), thermophotovoltaics for sustainable energy and structural colors, which could be used in anticounterfeit technology or protective coatings for spacecraft circuit boards.   

Her dedication, diligence and independence stood out to the project's co-PIs, Leite and Professor of Electrical and Computer Engineering Jeremy Munday .   

"She is the kind of student that just gets things done," Munday said. "For example, there was a particular deposition process that we needed for one of the samples [she was working on], but we didn't have the equipment at our university. She searched the internet, made phone calls, and later that day drove down to Stanford to get trained and make the samples. I couldn't believe it."   

Duncan's M.S. thesis research has resulted in three papers published in peer-reviewed journals, one of which made the cover of ACS Applied Optical Materials. She has another paper currently in review.    

She received the prestigious National Science Foundation Graduate Research Fellowship in 2022. She was awarded special honors for outstanding scholarship and completion of an honors thesis for her bachelor's degree in physics from the University of Texas at Austin.   

Duncan now uses the experimental and computational materials characterization techniques she learned in her graduate program as a research scientist at the technology company Ashwin-Ushas Corporation on projects that range from detecting hazardous chemicals to improving the efficiency of spacecraft heating shields.   

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Executing Successful Projects. And Leading People.

Project management & engineering at zeiss.

Leading projects worth millions. Forming teams across multiple departments and countries. Delivering top performance and pushing the limits of what’s possible. There’s plenty at stake: it takes a lot of money and effort to impress customers and ensure the company’s success.

ZEISS is technology. ZEISS is optics and innovation. We develop, manufacture and sell highly innovative products and solutions for our customers in a variety of business fields.

• Semiconductor Manufacturing Technology
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• Consumer Markets

Project Management & Engineering

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