20 internship jobs found

Support us with an internship/thesis in the field of data science. Study/Field of Study | Mathematics, Statistics, Data Science, Computer Science, Physics or similar courses Field of work | Internship/Thesis in the field of Data Science Duration | 3-6 months   Well challenged | We are looking for motivated students who would like to join our Data Science team for a mandatory internship and/or a Bachelor's/Master's thesis (3-6 months). With us, you can gain practical experience and work on innovative projects in the field of data science to improve KSB services and products.   What you will work on: Development and testing of new algorithms, models and methods based on machine learning or other techniques in collaboration with the data science team Evaluation and optimization of algorithms and models, Bringing innovative ideas and new methods to the data science team, Preparing and processing raw data to create...

For us, artificial intelligence is no longer just a thing of the future. As part of the Business & Artificial Intelligence division, our mission is to support the Witt Group with future-oriented, high-performance and stable data products. The AI ​​Applications department is the central contact and expert in consulting and developing innovative AI solutions for the entire Witt Group. With these solutions, we help other areas to tackle new challenges in the big data landscape and offer our customers the best possible shopping experience. We achieve this as an agile, independent team by using state-of-the-art technologies and methods to solve complex problems. For us, it goes without saying that you can take full advantage of the benefits of mobile office and remote work in your job. With the help of mobile devices and online tools, we enable mobile working wherever the job allows it. Be part of the future we are working on together. Are you ready? Then...

Your tasks The Tire Testing Technology department at our Hannover-Stöcken site is responsible for the development and 24/7 operation of tire testing machines within R&D for locations worldwide. In this exciting environment, we are now offering an internship with the option of completing a thesis. For the best possible learning experience, the internship should last between 3 and 6 months. The tasks include: Incorporation and further development into a concept proposal Further development of a remote control concept for use on machines distributed worldwide Coordination with our internal IT validation at one location Complete documentation and presentation of results Your profile Students (m/f/diverse) studying communications engineering, computer science, electrical engineering or comparable Ideally with a focus/specialization in cyber security and remote control Confident...

Data Factory of the Production and Logistics Division - Data Governance Production / Logistics Digitalization is an essential part of Audi's corporate strategy. In addition to the effects on business models and products, digitalization has a major influence on the processes in the Production and Logistics Division and Industry 4.0 and offers new opportunities in the networking of classic IT systems, production facilities and employees. Data is at the heart of digitalization projects and, among other things, forms the basis of data-driven production. A key task here is the P-Data Factory, whose core business of "data" makes a decisive contribution to digitalization across all divisions. As data governance, we take on the task of creating and communicating guidelines relating to data and information. By intelligently networking cross-departmental information processes, we tap into potential for improving performance in the areas of production and logistics. In doing so, we are...

As a Bell Labs Research Intern in the System Architecture and Solution Design (SASD) lab you are conducting innovative software and AI systems research, build impactful solutions that address critical industry needs, and advance the state of the art of the field. This internship focuses on developing AI-driven solutions to address industry challenges, specifically in the context of   data unification, OT system disambiguation, and edge AI deployment   . The project will involve: Literature Review: Conducting a comprehensive review of existing AI techniques and solutions for industrial automation, focusing on data unification, OT system interoperability, and edge AI. Solution Development: Designing and developing novel AI-based solutions to address the identified challenges, aiming to improve upon existing baselines. Proof of Concept: Implementing the proposed solutions through extensive simulations and/or real-world proof-of-concept deployments....

Internship - Data Science & Engineering Predictive Maintenance (m/f/d) AI / Data Platform Student & Talent Programs Ingolstadt, Berlin It's time to reshape automotive mobility for everyone! At CARIAD, we have the mission to create and deliver leading digital technology for the Volkswagen Group. We're uniting over 6,000 global experts to build powerful software architectures that enable completely new customer experiences. Iconic models like the Volkswagen ID. Buzz, Audi Q6 e-tron, and Porsche Macan 4 Electric are already equipped with CARIAD technology. Join us at CARIAD and become part of an exciting journey to shape the future of mobility! YOUR TEAM The competence center data science and engineering in IIX is your professional home. We are a team and a network of like-minded individuals who are passionate about transforming automotive mobility through data science. Our mission is to solve real-world problems for our customers within...

YOUR WORLD OF POSSIBILITIES Welcome to the Fraport AG team. We are one of the leading companies in the airport business and operate Frankfurt Airport, one of the largest commercial airports in Europe. Every day at Fraport we connect people and cultures from all over the world - also as an employer. We are the professional home for people from over 100 nations who pull together to keep our airport running 365 days a year. Do you want to go your own way in the Fraport world? Then shape the future of mobility with us: sustainable, innovative and digital. To support our team, we are now offering you a University internship in the field of Data Governance and Data Value Office Your tasks: Support in the creation of data products and the documentation of the data contained therein Support in the implementation and monitoring of data governance policies and processes Supporting initiatives to improve data quality and integrity Assist...

Topic: The aim of this master thesis is to investigate how modern machine learning and artificial intelligence technologies can be used to improve the efficiency and speed of electric motor analysis while ensuring technological progress. The focus is on identifying challenges and developing solutions, which are illustrated using a case study for a specific type of electric motor.   Your main responsibilities: Literature analysis on electromagnetism, electric drives, heat transfer, optimization and AI (artificial intelligence). Development of simulation models to calculate the performance and thermal behavior of the engine. Definition and implementation of the machine learning procedure. Verification of AI-generated results through standard optimizations. Your profile: Studies in engineering (mechanical engineering or electrical engineering) Experience in simulation and calculation, ideally in the field of electrical machines, CFD...

INTERNSHIP/FINAL THESIS: AI-SUPPORTED PRESCRIPTIVE APPROACH - CONDITION MONITORING IN MANUFACTURING Location Lippstadt, Germany FORVIA HELLA is a listed, international automotive supplier. We are a company of the FORVIA Group, the world's seventh largest supplier of automotive technologies. As a global market leader in high-growth future areas, FORVIA employs 157,000 people worldwide. FORVIA HELLA stands for high-performance lighting technology and automotive electronics. At the same time, with our Lifecycle Solutions business group, we cover a broad service and product portfolio for the spare parts and workshop business as well as for manufacturers of special vehicles. With currently around 37,500 employees at over 125 locations, the company is active worldwide and achieved adjusted sales of 8.1 billion euros on a provisional basis in the 2023 financial year. YOUR TASKS At HELLA, you will support us in the area of ​​Operations Digitalization....

Every tool can only be as good as the person behind it. That's why we at the Festool Group are looking for employees who want to make a difference together with their 3,000 colleagues around the world. Immerse yourself in our world - and experience how proud it is to build the best power tools in the world in a family business. That makes you proud Premium quality and a long service life have been the hallmarks of FESTOOL products for decades and create added value for our customers. To achieve this, it is crucial to know user habits and their applications and to use them for product development. Your tasks include the following: Analysis of field data and creation of frequency and distribution evaluations Extraction of individual use cases from real field data and development of evaluation algorithms for event detection, collective formation and pattern identification Identification of “interesting patterns” and anomalies in...

Zero Knowledge Proofs (ZKPs) have become a fundamental building block for creating scalable and privacy-preserving decentralized applications. ZKPs enable verifiable computing, but the powerful math behind ZKPs is both compute and memory intensive. Furthermore, constructing ZKPs for all steps of a and for each invocation of a stream/ML processing pipeline compounds the overheads of producing ZKP proofs. In this project, you will explore producing efficient ZK proofs in an incremental manner for the entire stream processing pipeline. The project will involve exploring the latest ZK proof systems & folding techniques and applying them to prove single or multiple invocations of a pipelined computation. The focus will be on identifying which proof systems are best suited from a folding perspective for each step of a pipeline and implementing them. You will be expected to get up to speed with a variety of ZKP proof systems and frameworks You will bring together...

Machine Learning (ML) models affect every aspect of our lives, from individuals to enterprises. As a result, ecosystems relating to ML models and datasets used to train them emerge, trying to facilitate the exchange of such assets among their owners. However, trust requirements among these entities pose a significant barrier to the scale and extent of these exchanges. These trust concerns are intertwined with the privacy of the individuals that may be present in these datasets (eg, hospital patient data). Privacy concerns about such data have already been reflected in laws and regulations (EG, GDPR and EU AI Act in Europe, HIPAA and CCPA in the US). These regulations will certainly reflect on the owners and users in terms of compliance, whether these assets are datasets, models trained on those datasets or the processes of said training. This compliance aspect can demonstrate itself as an enforced requirement (eg, by regulatory bodies) or a self-imposed public relations act...

Zero Knowledge Proofs (ZKPs) have become a fundamental building block for creating scalable and privacy-preserving decentralized applications. ZKPs enable verifiable computing, but the powerful math behind ZKPs is both compute and memory intensive. Furthermore, no single proof system excels at efficiently proving the diverse set of operations involved in a ML-based data processing pipeline. In this project, you will explore producing efficient ZK proofs for the entire data processing pipeline. The project will involve exploring the latest ZK proof systems & lookup techniques and applying them to common pre-processing tasks and ML inferencing tasks used in text, image, and audio processing pipelines. The focus will be on identifying which proofs systems are best suited for the data processing operations involved. Furthermore, you will also explore ways of composing proofs from different proving systems in a universal and extensible manner. You will be expected to...

This is the task Active and independent participation in the maintenance of product data in various systems throughout the entire product life cycle Deriving requirements for the product data model and developing solution approaches for optimization Creating presentations to visualize complex issues Support the further development of roles, tasks and workflows to optimize data governance Creating, evaluating and visualizing various evaluations related to product data We wish for this Ongoing studies in the field of business informatics, technology management, technical business administration, industrial engineering, business administration or comparable courses First project experience is an advantage Technical knowledge in the field of product management is advantageous Confident use of all Microsoft Office applications Teamwork, communication skills, creativity and a structured way of working Further details...

CLAAS develops, tests and manufactures self-propelled harvesting machines, combine harvesters, forage harvesters and system tractors on 400,000 m² at its main plant in Harsewinkel. With more than 2,000 colleagues, we are the largest company in the CLAAS Group and take on cross-company and cross-border tasks in production, research and development as well as in numerous commercial areas. Your tasks: Familiarization with the quality assessment of harvesting processes and crop samples in the field of combine harvesters and forage harvesters Use of various AI methods for processing imaging sensors Development of an analysis program for evaluating images Automatic classification of process variables and detection of crop samples Validation of analysis programs based on test bench and/or harvest trials Concept development and classification of project results in the scientific context Documentation of findings and presentations...

Your tasks with us Developing Deep Learning Applications Creating neural networks Testing the application on robots This is what you bring with you Studies in the field of computer science, machine learning or a comparable subject Basic knowledge of Linux, Python, C/C++ and deep learning frameworks such as Tensorflow, OpenCV Interest in robot development for our packaging machines BENEFITS: WHAT WE OFFER YOU A mentor, who will always be available to answer your questions A family business, that values ​​a strong community and respectful interaction with one another An innovative environment, which is characterized by the urge to build ever better machines for our customers A canteen on site, who cooks fresh food for us every day employer subsidy for lunch in...

Intern Innovation Garage Cyber ​​Security with focus on telecommunications (m/f/d) in Düsseldorf At Vodafone, we work every day towards a better future. For a world that is better connected, more inclusive and more sustainable. Because for us, technology is only as powerful as the people who use it. Join us and let's shape the world of tomorrow together. What you can expect: You will actively participate in the development of the new Vodafone Business Security Operating Center (VBSOC) and support us in the development of modular and innovative security products for Vodafone business customers. You will work with our Security Operating Center (VBSOC) to evaluate current security products, service and incident management processes and identify opportunities for improvement. You will support the consulting of specialist departments and projects with regard to customer satisfaction for all cyber security products. You research, investigate and...

Job ID:  20916CN Date posted:  12/12/2024 WHO YOU ARE Currently pursuing a degree in Computer Science, Engineering, or a related field. Proficiency in Python programming language. Familiarity with AI and machine learning concepts. Experience with AI image recognition projects a plus. Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Excellent communication skills and attention to detail. A proactive approach to learning and self-improvement. YOUR RESPONSIBILITIES Assist in the cleaning, preprocessing, and organization of AI datasets. Support the development and training of AI models, including image recognition systems. Collaborate with cross-functional teams to ensure datasets meet the requirements for model training. Perform data analysis and provide insights to improve model performance. Contribute to the documentation of data cleaning and model training processes. Stay up to date with the latest AI...

A GOOD INTERNSHIP IS PRACTICAL, NEVER THEORETICAL. SHARE YOUR PASSION. Success is teamwork. Only when experts share their expertise and enthusiasm can a workflow be created in which ideas flow. We call this a culture of innovation. That's why we give students not only the opportunity to listen, but above all to have their say and think further. We, the BMW Group, offer you an exciting and varied internship in the area of ​​data governance, process and data analytics purchasing. The M area is an elementary part of the entire network. We drive the further development of business-oriented reporting and analytics (R&A) solutions with the latest business intelligence and advanced analytics AI methods. For us, digitalization is the key to a networked world that offers us unlimited possibilities. What awaits you? An interesting job in the context of the digitalization of purchasing awaits you. Together we develop digital solutions for...

High-resolution geodata with different usage aspects are used in numerous applications and specialist procedures that we develop for the state of Mecklenburg-Western Pomerania . The task For example, neural networks can compare buildings and their changes using time-delayed geodata and also detect deviations from development specifications. Deviations between development specifications and the actual development can be identified using AI techniques such as machine learning and deep learning. our range Your task is to create a suitable neural network that can be used to identify buildings and their changes on parcels of land. The training of such a neural network is based on high-resolution aerial photographs, which are then prepared as a data set, which can be done with GPU and TPU support. The following tasks may vary depending on scope, time and focus: analysis and processing of requirements research for various solutions Creation of a dataset based...