8 jobs found in Rhineland Palatinate

RESPONSIBILITIES In the Imaging unit, we develop unique algorithms which, in combination with light projectors and CMOS-based camera systems, enable the simultaneous acquisition of depth information and material properties in imaging form. The fusion of image data, depth information and material parameters with a camera system enables the next generation of machine vision. As a highly motivated technician, you will help our team take robotics applications and biometric capture in mobile applications to the next level. You are responsible for creating data sets using the trinamiX camera system. This includes the conception of the data sets together with our technical experts, the independent execution of the measurements including the annotation of the data, the organisation of the data sets and the quality control. QUALIFICATIONS Successfully completed training or bachelor's degree in computer science or similar qualifications. Enjoyment in combining practical work with camera systems and image data processing. Solid knowledge of Python and familiarity with the basics of image processing and machine learning. BENEFITS An attractive competitive salary that is based on the company's success and your individual performance. Flexible work arrangements so that you can balance your working life and private life. ABOUT US Do you have questions regarding the application process or position? Mr. Norman Funk (Talent Acquisition) Tel.-Nr.: +49 (0)30 2005 59018 Cooperation with recruitment agencies is not accepted. trinamiX GmbH was established in 2015 with its headquarters in Ludwigshafen and is a wholly owned subsidiary of BASF SE. As a start-up, we are operationally independent and can, at the same time, rely on the competence and experience of the BASF Group. What drives us? Our technologies are designed to make it possible for humans and machines to capture and understand the world - for better decision-making and more security. That is our goal in the areas of 3D sensor technology, distance measurement and infrared sensor technology. We are not looking for successors or replacements for our team. We are looking for pioneers! Learn more about trinamiX GmbH at www.trinamiX.de Please note that we do not return paper applications including folders. Please submit copies only and no original documents. At BASF, the chemistry is right. Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.

Tetra Tech, Inc., an industry leader and nationally recognized engineering and consulting firm, is seeking a motivated, intelligent, and experienced professional for an Environmental Scientist/Engineer position in an onsite position at Ramstein AB, Germany. This position is required to relocate to Germany. Responsibilities: Maintaining the Integrated Hazardous Materials Management Program at Ramstein AB, to include ensuring personnel possess the appropriate skills/training to purchase HM, monitoring of the HM purchasing system for compliance with Air Force standards and EU regulations, delivering training, conducting shop assistance visits and providing guidance to assist with achieving compliance. Interacting with shop personnel during compliance site assistance visits and meetings. Providing presentation style and hands-on training to groups of approximately 10 participants at a time. Skills Required: Excellent verbal and written communications in English. At least three years of experience working with, and knowledge of, Air Force organization and function. Ability to become proficient in all standards/regulations/software to include MicroSoft Excel, PowerPoint, and the U.S. Air Force’s Enterprise Environmental, Safety, and Occupational Health Management Information System (EESOH-MIS) and eDASH. Education Required: Bachelor of Science in environmental engineering, environmental sciences, chemistry, geology, or similar technical field from a U.S. or European Union (EU)-accredited university. Other Requirements: Ability to obtain a U.S. Federal Security Clearance or German background check for Base Access ID and access to U.S. Government computer systems (Ramstein AB installation pass and Common Access Card). Valid driver’s license. About Tetra Tech: Tetra Tech is a leading provider of high-end consulting and engineering services for projects worldwide. We combine the resources of a global, multibillion dollar company with local, client-focused delivery in more than 400 locations around the world. We are Leading with Science® to provide sustainable and resilient solutions for our clients.

Interested in joining a dynamic and growing 3PL as an Industrial Engineer (m/f/d) Automotive Logistics where lots of engineering challenges await? Our engineering team, based in Speyer, working on continuous improvements, operational efficiencies and layout, are looking for a motivated and experienced colleague with a strong background in supply chain management. About the Role How you will contribute Provide Leadership and Support to Continuous Improvement initiatives at the plant level including; work studies to analyze work systems, developing standards, allowances and/or improvements to existing systems, providing input for the development of functional layouts that minimize space, material transit, distance, and provide flexibility for expansion, and utilize Simulation software to analyze and/or improve work systems. Assess ergonomic factors in work systems and provide solutions/design factors to minimize RMI (Repetitive Motion Injuries) and accommodate the functional range of workers. Develop and implement lean engineering tools and review work methods, work station designs and documenting process methods. Will conduct analysis and make recommendations to improve labor utilization, material flow and capacity planning. Process simulation, project management and methods analysis. Utilize and analyze Lean Standards in everyday assignments including: Line Balancing, PFEP, Value Stream Maps, Engineering Studies, and Resource Requirement Sheets. Provide input for the development of Process FMEA’s and Control Plans for existing and potential work systems. Research, justify, and recommend the purchase of capital expenditures. Provide support as necessary for STD Work, 5s, TPM, JIT, and Mistake Proofing. Update layouts using Auto CAD LT. B.O.M. Updates – Regularly maintain and update Bill of Materials. Review engineering changes orders, running changes, model year changes and update BPM’s as necessary. Assist in new business launches at both customer and syncreon plant in area of expertise. Work scheduled shifts with predictable and reliable attendance, adhering to department schedule, including weekends and evenings, when the needs of the business demand, being flexible to work any shift changes by our customer both internal and external Other duties as assigned. Your Key Qualifications Bachelor’s Degree in Industrial Engineering or related discipline required; or one to two years related experience and/or training; or equivalent combination of education and experience. Experience performing Industrial Engineering techniques and time studies. Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis. Strong interpersonal, communication, and leadership skills. Strong computer skills (variety of design, drawing, presentation, Microsoft office etc.) Compensation syncreon offers exciting and challenging roles within a growing international organization. We strive to hire and develop the right people, locally and globally; stimulating personal growth and self-development within an informal atmosphere. We offer a market competitive compensation package. About syncreon syncreon delivers tailored, progressive and scalable solutions to premier global automotive and technology brands, such as Jaguar Land Rover, Harley Davidson, BMW, Dell, Xerox and Canon. We supply 3PL and 4PL solutions that adapt as quickly as industry and the marketplace evolve. For over 60 years syncreon has provided unique and innovative expertise in: contract logistics, warehousing management, inbound to manufacturing, reverse and repair, export packing, aftermarket services, fulfilment services and transport. Today we have 14,000+ employees working in 100+ locations worldwide who enjoy our supportive culture, dedication to work-life balance, people development and superb career opportunities. For more information, visit www.syncreon.com Note Candidates chosen to move forward within the Recruitment Process, may be required to undergo an assessment and/or submit further background information. Any offers of employment may be conditional on completion of required checks and provision of relevant documentation, in accordance with the applicable local legislation.

Insiders Technologies zählt zu den erfolgreichsten IT-Unternehmen Deutschlands. Mit innovativen Softwarelösungen auf der Basis Künstlicher Intelligenz begleiten wir weltweit Unternehmen bei der digitalen Transformation. Innovationen entstehen bei uns im Team – dabei setzen wir auf moderne Methoden und ein kreatives Arbeitsumfeld. Werden auch Sie Teil unseres dynamischen Wachstums! Ihre Aufgaben Sie verantworten die Beschaffung und Verwaltung von Test- und Trainingsdatensätzen für laufende und zukünftige Entwicklungen im Bereich Machine Learning In Absprache mit dem Produktmanagement und dem Bereich Kundenprojekte definieren Sie die Anforderungen an die erforderlichen Datensätze Sie überwachen die Fortschritte in den R&D-Teams sowie im Bereich Kundenprojekte auf Basis der Erkennungsraten auf den Datensätzen Sie überprüfen die Datenqualität durch Vollständigkeits- und Plausibilitätsanalysen Sie kommunizieren mit Kunden, Dienstleistern und dem Team Kundenprojekte, um Quellen für neue Datensätze zu erschließen Sie koordinieren die Strategie und das Konzept für die Sammlung von Trainingsdaten auf Basis von Cloud-Services Unterstützung bei der Projektarbeit sowie bei der Weiterentwicklung und Optimierung unserer Produkte und KI-basierten Cloud-Services Sie koordinieren die datenschutztechnische Beurteilung von Datensätzen in Zusammenarbeit mit dem Datenschutzbeauftragten und sonstigen Stakeholdern Ihr Profil Erfolgreich abgeschlossenes Studium mit gutem statistischen und technischen Hintergrund wie Wirtschaftsinformatik, Wirtschaftsmathematik, BWL oder ähnliches Sehr gute Kommunikationsfähigkeiten gegenüber externen Kunden sowie internen Stakeholdern Ausgeprägte analytische Fähigkeiten und eine selbstständige Arbeitsweise Berufserfahrung im IT-Bereich wünschenswert Erfahrungen mit einer Programmier- oder Skriptsprache wünschenswert Cloud-Erfahrung (AWS o.ä.) und die Bereitschaft, sich in komplexe bestehende Strukturen einzuarbeiten Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift Sicherer Umgang mit MS Office (Excel, PowerPoint und Word) Begeisterung und Know-how für unterschiedliche technologische Ansätze und Produkte

YOUR TEAM This position is located in our office in Mülheim-Kärlich. In our international team you are working with people of different professions. Such as your superior - the Vice President, Head of Digital TOMRA Sorting, a Service Delivery Owner, a Technology Owner, a UI/UX Owner, a Software Developer Connectivity, a Frontend Developer, and a Backend Developer. You as the Data Scientist will complete the TOMRA Sorting Digital Core Team. Your team is located around the globe and in different time zones – from New Zealand, Belgium via Germany to California, USA. YOUR TASKS Guiding the data science team covering the operational data analytics based on domain knowhow, supporting troubleshooting and validating correlations, and supporting the R&D team with a focus on data science and development of algorithms Generating new valuable insights based on the collected data in motion and at rest, as well as unstructured external data sources across all TOMRA Sorting Business Streams Establishing and managing the “TOMRA Space Center”, monitoring and running all data analytics services of TOMRA Insight Becoming an active thought leader and internal advisor for data science in the respective industries in which TOMRA is active (Food, Recycling, Mining) Working closely with universities, manage co-operations, and ensure state-of-the-art knowledge in data science to be transferred to TOMRA Sorting Representing TOMRA Sorting at scientific events in the area of data science and analytics to support the thought leadership claim and attract new talents YOUR PROFILE Master’s Degree or higher preferably in computer science, natural science, or engineering with a focus on data analytics & science – alternatively 5 years of work experience in a similar role English language (fluent), German language (nice to have, willing to learn) Experience with relevant software and distributed environments, e.g. R, Python, RapidMinder, Knime, Alteryx, Node-Red, Matlab, PowerBI, ANSYS, Stream Analytics, MS Azure, DataBricks, etc. Willing to travel ca. 25% Do you want to find out more about   TOMRA RECYCLING ? Have a look at our YouTube Channel: https://www.youtube.com/watch?v=BLmM_eG1GTc Do you want to peak behind office doors and meet our colleagues? Have a look at our Instagram Account "tomrarecyclingpeople": https://www.instagram.com/tomrarecyclingpeople/ Did we raise your interest? If so, please submit here:   https://short.sg/a/6082457   a motivation letter (indicating salary wish), a CV and certificates from education & trainings

AbbVie Analytical Research & Development (Analytical R&D) ist eine globale Organisation der analytischen Wissen­schaften, die für alle analytischen Aktivitäten im Zusammenhang mit der Entwicklung der pharmazeutischen Produkte von AbbVie verantwortlich ist.

You will be able to make remarkable impact by driving the Drug Product Development (DPD) data strategy hereby enabling and evolving our data driven drug development concepts. You will have a key role in a global, strategic multiyear-program to design and implement world class data analytical capabilities at Abbvie – sponsored by the Chief Scientific Officer. Developing a data strategy is a collaborative task demanding excellent communication skills, the ability to connect people and views as well as showing high degree of assertiveness. Equipped with this skillset you will guide a data journey including an assessment of the status quo of data formats, the current data handling processes as well as an overview of used data repositories in the different areas of DPD. Based on these findings, critical and most advanced use cases should be identified as suitable pilot projects. These projects will drive the product development process and require collaboration with the scientists leading the projects. They will be the foundation for developing a comprehensive data strategy that is aligned with the respective business needs. This includes standardization of processes and workflows, the generation of ontologies and data models as well as the implementation of FAIR concepts (Findable, Accessible, Interoperable, Reusable) to make data available within the whole organization. The ultimate goal is to build a data basis for broad-based advanced analytics like Machine Learning, Predictive Analytics and Artificial Intelligence. These activities are accompanied by education of the organization with respect to the Data Strategy, broad-based data standardization (FAIRization), the potential of Big Data technologies and its applications in DPD. Key responsibilities include: Assessment of status quo with respect to data generation, data formats, ontologies, data repositories and data usage in different areas of DPD Prioritize activities and work with different areas towards standardization and automation of workflows across the organization and drive consistency. Together with Information Research and Data Scientist peers generate consistent data ontologies and data models (e.g. Allotrope concept) across the organization Contribute to the choice of adequate data systems/repositories together with Information Research and other departments Cross-functional collaboration to drive establishment and improvement of the Development Sciences and R&D data ecosystem Acquire and execute on identified pilot cases from the DPD organization. Drive and translate the overarching R&D and Development Sciences Data Strategy into meaningful projects within Drug Product Development (DPD) Educate the organization with respect to the Development Sciences Data Strategy, its goals and potential as well as the related necessary changes. Spread enthusiasm for entering the digital age in DPD. Relevant technical degree such as biology, chemistry, pharmacy, engineering or in computer sciences/ statistics or applied math. ideally combined degree. 4+ years of relevant experience in Data Handling (e.g., experience in modeling structured and unstructured data) and Advanced Analytics (e.g., Predictive Modeling, Data Mining, Machine Learning) Understanding of Data Engineering, Data Architecture and Data Science Experience with Data FAIRization would be desirable Relevant programming skills and experience (Python, R) Innovative thinker with strong strategic, analytical and critical thinking skills Project management experience, with the ability to effectively manage time, prioritize work, multi-task across many assignments, and effectively lead teams. Ability to effectively interface/communicate across functions and bring together different viewpoints. Excellent written and verbal communication and presentation skills in English. Self-motivated and able to operate independently and as part of a team We Offer A fantastic opportunity to work in in a world-class team. A mentor who will assist you as coach and contact person. A supportive environment that allows you to focus on your role and tailor your work to your individual needs, including flexible work models, multiple benefits, and comprehensive health and sports programs. Attractive compensation and company benefits, including our excellent occupational health management system, which is one of the best in Germany. Your Application We are looking forward to your online application. AbbVie welcomes and encourages diversity in our workforce.Learn more about AbbVie Deutschland at www.abbvie.de. Visit www.abbvie-care.de for more information about the therapeutic areas in which we’re active.

Insiders Technologies zählt zu den erfolgreichsten IT-Unternehmen Deutschlands. Mit innovativen Softwarelösungen auf der Basis Künstlicher Intelligenz begleiten wir weltweit Unternehmen bei der digitalen Transformation. Innovationen entstehen bei uns im Team – dabei setzen wir auf moderne Methoden und ein kreatives Arbeitsumfeld. Werden auch Sie Teil unseres dynamischen Wachstums! Ihre Aufgaben Anwenden und Erproben neuester wissenschaftlicher Erkenntnisse der Künstlichen Intelligenz (KI) Entwickeln, Testen und Implementieren hochinnovativer Produkte in einem agilen Scrum-Team Aufzeigen von Maßnahmen zur Verbesserung bestehender Produkte Bewerten der technischen Realisierbarkeit und der Wirtschaftlichkeit von neuen und weiterentwickelten Produkten Ihr Profil Abgeschlossenes Studium der Informatik mit Schwerpunkt KI oder vergleichbare Qualifikation Idealerweise Berufserfahrung im Forschungs- und Entwicklungsumfeld Erfahrung in der Anwendung von Künstlicher Intelligenz und deren Teilbereiche wie Neuronale Netze, Machine/Deep Learning etc. Fundierte Kenntnisse in mindestens einer höheren Programmiersprache Teamfähigkeit, Proaktivität und Innovationsstärke Sehr gute Deutsch- und Englischkenntnisse