5 jobs found in St. Gallen

Die Universität St.Gallen ist eine der forschungsstärksten Universitäten der Schweiz. Zusammen mit namhaften Partnern in Wissenschaft und Praxis forschen wir im Research Lab an Fragestellungen zum Management von Artificial Intelligence. Wir bieten Doktoranden die Möglichkeit exzellente Forschung in enger Zusammenarbeit mit renommierten Branchenführern in ausgewählten, relevanten Themenbereichen durchzuführen und sich innerhalb unseres exzellenten Netzwerks einzubringen. Was wir bieten Eigenständige Durchführung von Forschungs- und Praxisprojekten im Bereich Management von Artificial Intelligence in Zusammenarbeit mit führenden Unternehmen Verfassen wissenschaftlicher Publikationen in hochrangigen Journals Exzellente Rahmenbedingungen für eine hochwertige Dissertation Betreuung durch anerkannte und erfahrene Professoren Mitarbeitet in einem motivierten Team aus Doktoranden, Studierenden und Unternehmen Zugang zu einem internationalen Forschungsnetzwerk Seminare zu unterschiedlichen Forschungsmethoden in Wirtschaftsinformatik/Informatik Ausgezeichnete räumliche und technologische Infrastruktur im Lab (u.a. NVIDIA DGX-2) Berufliche und akademische Entwicklung und Profilierung als Experte für das Thema AI Attraktive Vergütung gemäss den Richtlinien der HSG Unsere Erwartungen Erste Erfahrung im Bereich Artificial Intelligence von Vorteil Erste Berufserfahrung im (Technologie-)Consulting oder Industrieunternehmen von Vorteil Sehr guter Masterabschluss in Wirtschaftswissenschaften, Wirtschaftsinformatik, Informatik, Mathematik oder vergleichbarer Fachrichtung (min. 5.0 (CH) bzw. 2.0 (DE)) (kein FH, MBA, MAS) Eigeninitiative, strukturierte Arbeitsweise sowie Teamfähigkeit Kenntnisse quantitativer und qualitativer Forschungsmethoden

International technology group • specialty glasses and glass-ceramics • more than 130 years experience • more than 15,500 employees in 34 countries • innovative ideas for the world of tomorrow What’s your next milestone? C# Software Engineer Inspection Systems* Because human health matters . We design solutions to ensure medicines are safe and easy to use for people around the world. More than 600 production lines in 13 countries worldwide produce more than 10 billion syringes, vials, ampoules, cartridges and special articles of tubing glass or polymer. We think customers, users and patients first. We think people! We are   Business Unit Pharmaceutical Systems. You want to be part of the most innovative pioneer of pharma packaging? You want to be part of an open-minded, flexible and inspiring industry team? You want to be responsible for the technology that is the growth engine of our business unit? You want to develop your potential to the next level? As   Software Engineer   at the location   St. Gallen   you will join the   Development Department   in our global   Technology Division   as soon as possible. We provide new technologies, process knowhow and equipment to all production sites of the Business Unit Pharmaceutical Systems. Your tasks You develop new applications and software for inspection systems and manufacturing equipment on basis of the results from pre-development studies together with your colleagues in an agile team You support the development of new processes, process layouts and corresponding equipment with your knowledge, especially in the field of optical inspection and measurement You secure innovations through patent applications You design, program, execute and document tests scenarios and validation scenarios for new applications and software You qualify and validate new applications and software in cooperation with internal experts. You support process engineers in performing equipment acceptance tests, equipment qualification and process validation You train production technicians and operators on the new software and ensure the transfer of necessary knowhow to lifecycle management and production sites You assist the Life-Cycle Management in resolving support requests in coordination with the supervisor Your profile Degree in software engineering or equivalent education 5+ years of professional experience in the development of software for manufacturing equipment Basic knowledge in inspection, machine learning and machine control Experience with C# .net, OOP, Dependency Injection, UML, Continuous Integration & Delivery, Unit Testing Structured way of working, conceptual and interdisciplinary thinking Good command of German and English language Knowledge in the application of agile methods and systematic problem solving (SixSigma) of advantage Knowledge in GMP documentation of advantage Your benefit Motivated and committed employees are essential to the success of our company. At SCHOTT, you will find a cooperative, inspiring and agile work environment, which encourages you to share your innovative ideas to continue with our successful growth culture. We offer you a career with a variety of interesting topics and a lot of freedom for creativity. You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT Schweiz AG, St. Gallen Human Resources, Marjon Kundert, +41712740883

Committed, dynamic and with a passion for precision, we revolutionise the world of measurement and survey. You are savvy in the analysis and conception of state-of-the-art technology and complex systems? Lateral thinking combined with accurate and dynamic work let you find the best of several options? Join our team and make your visions come true! Data Scientist (f/m) Heerbrugg This appeals to you Execute AI studies and projects for metrology, surveying, construction and mining use cases Design Machine Learnig solutions and build working prototypes Develop validation and benchmarking strategies Engage with product managers and domain experts to understand requirements and to customize deliverables Being integrated within a global AI community within the Hexagon group and contributing to Model Libraries and Machine Learning Frameworks This is you A relevant university qualification (Master / PhD) in computer science, mathematics, engineering, or a related field with focus on machine learning Industrial background and/or professional experience in SW development and productization Knowledge of data structures and data modelling using advanced methods in machine learning, deep learning and/or reinforcement learning Experience in applying state-of-the-art methods for analyzing time series, audio and/or text data for e.g. signal processing, condition monitoring, NLP or optimization tasks Ability to work independently as well as part of a team with a proactive approach to problem solving Strong inter-disciplinary communication and cooperation skills About Us Our innovative solutions and products are characterised by the highest efficiency and reliability. Help us to improve the future, become part of our team and a global success story. How can I apply If you are interested in this challenging and varied position, then we look forward to your online application! Due to the privacy policy, we accept applications only via the application form.

Committed, dynamical and with a passion for precision, we revolutionise the world of measurement and survey. You are savvy in the analysis and conception of state-of-the-art technology and complex devices? Lateral thinking combined with accurate and dynamic work let you find the best of several options? Join our team and make your visions come true! Applied Machine Learning Engineer (f/m) Heerbrugg This appeals to you Productize machine- and deep-learning models and architectures into our products such as terrestrial laser scanners or total stations Development of machine learning algorithms and their evaluation with experiments Deploying machine learning models on embedded devices Development of software modules and machine learning models for object detection, and classification Contribution to the development of the machine learning software infrastructure Coaching role within the software development team with regards to machine learning. Collaboration with internal and external partners This is you A relevant university qualification (Master / Ph.D.) in computer science, mathematics, engineering or a related field with focus on machine learning Knowledge of advanced methods in machine learning, in particular in Deep Neural Networks Proven track record of applying machine learning to real industry products Familiarity with established machine learning and data processing frameworks and libraries like Tensorflow, Keras, Pytorch, Scikit learn, Scipy etc. Proficiency in software development using languages with Python and C++ Part of an agile software development environment within a self-organized team Strong inter-disciplinary communication and cooperation skills Software development experience on embedded systems is an asset Fluency in English is a must / German beneficial About Us Our innovative solutions and products are characterised by the highest efficiency and reliability. Help us to improve the future, become part of our team and a global success story. How can I apply If you are interested in this challenging and varied position, then we look forward to your online application! Due to the privacy policy, we accept applications only via the application form.

Committed, dynamic and with a passion for precision, we revolutionise the world of measurement and survey. Around the globe, customers from all industries rely on our smart technologies. You support us in engineering and implementing powerful software. You are led by curiosity and not afraid to try out new ways and ideas? Join our team and make your visions come true! Machine Learning Engineer (f/m) Heerbrugg This appeals to you Contribution in feasibility studies to investigate opportunities in the fields of surveying, reality capture, metrology, security, agriculture Development of machine learning algorithms and evaluation on real-live problems Prototypical development of software modules and machine learning models for object detection, pattern recognition, classification Contribution to the development of the machine learning software infrastructure This is you A relevant university qualification (Master / Ph.D.) in computer science, mathematics, engineering or a related field with focus on machine learning Knowledge of advanced methods in machine learning, in particular in Deep Neural Networks Prooven track record of applying machine learning and data science to real-live problems Experience in applying state-of-the-art methods on images, videos, and/or point cloud data Proficiency in software development using languages like Python and C++ Familiarity with established machine learning and data processing frameworks and libraries like Tensorflow, Keras, Pytorch, Scikit learn, Scipy etc. Ability to work independently as well as part of a team with a proactive approach to problem solving Strong inter-disciplinary communication and cooperation skills About Us Our innovative solutions and products are characterised by the highest efficiency and reliability. Help us to improve the future, become part of our team and a global success story. How can I apply If you are interested in this challenging and varied position, then we look forward to your online application! Due to the privacy policy, we accept applications only via the application form.