Your assignments Producing designs, both initial outlines and full plans, of sewerage, water treatment and flood defence structures such as pump systems and pipe networksPresenting project details and technical information to colleagues and clientsWriting reportsManaging project budgetsKeeping up to date with changes in regulatory legislation and guidelinesWriting and advertising tender documents and managing contractsLiaising with clients, contractors, government agencies, local authorities and suppliersSupervising local staff and site workersUsing a variety of specialist computer applications/simulation softwareMaintain effective relationships with members of all divisions and departments responsible for performing services related to the projectPrepare construction cost estimates, perform construction monitoring and coordinate field activities Your profile University degree (M.Sc.) in civil engineer, mechanical engineer, process or environmental engineer or other suitable qualification Experience in the preparation of master plans, feasibility studies, tender documents and construction planning, and/or experience with construction supervision, project management and/or commissioning of water supply and/or wastewater treatment facilities.Preferably 5 years of professional experience in international consulting/engineering in the field of urban water management, preferably in projects financed by bilateral and multilateral donor organisations and development banksStructured approach to work a high degree of flexibility, initiative, persuasiveness and negotiation skills as well as the ability to work in a team Willingness to travel extensively Good knowledge of written and spoken English and preferably an additional business language (French, Spanish, etc.)
WAS SIE BEITRAGEN KÖNNEN Sie studieren aktuell Elektrotechnik, Informationstechnik, Informatik oder Mechatronik und sind an einer spannenden Werkstudententätigkeit interessiert? Sie interessieren sich für die Bereiche Computer Vision und Bildverarbeitung? Sie haben bereits Kenntnisse in Python, PyTorch und OpenCV? Perfekt! Dann könnte diese Werkstudentenstelle der passende Baustein für Ihren Start ins Berufsleben sein!
Tasks: Structure and manage data knowledge, sensitivity, and quality to ensure usability and accessibilityProvide the right digital solutions at the right cost for the right users, ensuring simplicity, consistency, and sustainabilityApply the security-by-design principle in the design, improvement, and development of digital assetsEnsure compliance with security standards and regulations across multiple countries and divisionsDeliver secure digital solutions in internal and external projects, supporting all service lines in GermanyDrive compliant ways of working through awareness, best practice sharing, and contribution to cross-functional FMRE projects Skills: Completed studies in Project Management, Computer Science, or a digital disciplineSeveral years of professional experience in interface management and in IT / information systems Experience in data analytics and data managementGood knowledge of project management and risk managementBusiness fluent English Skills and proficient German language skills, French is a plusExcellent communication and presentation skillsWillingness to travel occasionally within Germany and to France Our offer: An unterminated employment contractA far above-tariff remunerationAn interesting job that corresponds to your qualifications Application process: If you want to apply directly, please send us your CV by e-mail or via the online application offered.
Unsere Technologien verstecken sich in vielen Bereichen des Alltags und begegnen Ihnen öfter als Sie denken: beispielsweise in Smartphones, auf Glasfassaden, in Solar- und PV-Anlagen oder auch in Mikrochips für die Computer- und Kommunikationsbranche. Deine Aufgaben Smartphones, Smart Homes, Smart Factorys – die Elektrotechnik verändert unsere Welt nicht nur im privaten Bereich, sondern stellt auch die Industrie auf den Kopf.
Werden auch Sie ein Teil der erfolgreichen MBDA-Gruppe. WAS SIE BEITRAGEN KÖNNEN Sie studieren aktuell Informatik, Computer Vision, Statistik oder Data Analytics und sind an einer spannenden Werkstudententätigkeit interessiert? Sie interessieren sich für verschiedene Methoden aus den Bereichen Statistik und Data Mining?
. • High degree of self-accountability and commitment and a strong growth mindset to drive change and contribute actively to future leading transformation. • Very good computer skills including working knowledge of Microsoft Word, Excel and PowerPoint. • Flexibility to occasional business travel for client meetings. • Strong problem solving skills. • Ability to make decisions, bringing clarity to disparate information to inform actions and drive results.
Unsere Technologien verstecken sich in vielen Bereichen des Alltags und begegnen Ihnen öfter als Sie denken: beispielsweise in Smartphones, auf Glasfassaden, in Solar- und PV-Anlagen oder auch in Mikrochips für die Computer- und Kommunikationsbranche. Deine Aufgaben Hast du Lust, mithilfe von Software komplexe Prozesse einfacher zu machen? Dich reizt es, aktiv an der digitalen Zukunft unserer Branche mitzuarbeiten?
What makes you stand out You have successfully completed a degree in Business Informatics, Computer Science, Business Administration, or a comparable qualification. You bring solid knowledge of payment, card and transaction processing, or electronic payment systems.You have a strong technical understanding of payment system architectures, authorization systems, and interfaces to external service providers, and you have experience in analyzing, specifying, and implementing product requirements.
Experience with OpenCL is required, particularly for implementation on heterogeneous compute platforms such as Qualcomm architectures. Strong background in digital signal processing and statistical signal processing. Experience in HF technology and/or antenna design.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.