Aufgaben: This PhD project aims at the development of an improved distributed control of such formations of small satellites, also using a combination of solar and aerodynamic forces for propellant-less control. This will be ideal to deploy, maintain and reconfigure cost-efficiently a large formation of small satellites but requires the detailed modelling of the satellite dynamics, including the effects of aerodynamic forces (caused by the residual atmosphere in LEO) and the solar radiation pressure. After an analysis of optimal formation geometries for Earth observation, suitable orbital guidance and attitude control approaches will be developed and tested, using advanced simulation tools as well as formation flight experiments on a smaller scale with drones. These flight tests will also provide a better understanding of the level of control needed to achieve satisfactory beamforming
Anforderungen: The candidate should possess an MSc degree or equivalent in Control/Aerospace/Electrical Engineering, or related fields in Engineering or Computer Engineering. Solid experience/knowledge in the following areas: Mathematical and Control Engineering, especially related to spacecraft guidance; navigation and control; Modeling and simulation of spacecraft dynamics; Spacecraft formations/swarms; Control of drones and flight experiments as well as knowledge in GNSS would be an asset

Aufgaben: Lead, manage, and motivate a team of over 20 people, including product owners, business analysts, application integrators, and developers. Fostering a culture of continuous learning and improvement; Ensure optimum team performance, identify training needs, and provide mentorship to team members; Foster collaboration and effective communication among teams to ensure project success and organizational growth; Define and implement the university's application architecture vision, aligning it with the institution's strategic goals; Develop and maintain architecture policies, standards, and procedures to ensure consistency and scalability across applications; Collaborate closely with the IT management team and CISO in order to guarantee success of university projects
Anforderungen: Academic background in Computer Science, Information Technology, or a related field; A minimum of 10 years of experience in application development, with at least 5 years in a leadership role; Extensive experience in delivering hybrid and cloud-native solutions; Proven experience managing teams working on SAP, .NET, and Low-Code/No-Code platforms (including ServiceNow, Microsoft Power Platform, and Azure Logic Apps)

Aufgaben: The specific duties for this position may include protocol development, study design, analysis plan, sample size/power calculations, and interpretation of study data; develop, design and write new and/or revised statistical programs (say in SAS or R) and modeling based on requirements of ongoing research projects; conduct and interpret analyses of research data using descriptive statistics, inferential tests, and advanced statistical methods and models; evaluate and ensure statistical integrity, accuracy and validity of research data; compiles results and provides statistical summaries and reports to principal investigators; assist with grant proposal preparation in study design, sample size calculations, and development of statistical analysis plans; assist with preparation of journal articles, technical reports and other materials for publication and presentation; manage biomedical databases for assigned research projects; read and review appropriate biomedical and statistical papers...
Anforderungen: Master's degree in biostatistics, statistics or related quantitative field with 6+ years’ experience in design, conduct, monitoring, and analysis of cancer clinical studies, in preparing and reviewing clinical trial protocols, and in preparing grant applications and writing research reports, or doctoral degree with 3+ years’ experience in these areas

Aufgaben: Be responsible for leading the research culture at PMU. The focus of the job will involve own research activities in area of expertise in AI in addition to presenting research findings at conferences worldwide; Seek external funding to support and expand research activities to enhance the prestige and visibility of PMU and to initiate research projects with local industries, government agencies and the community; Be expected to take part in the strategic planning and decision making of PMU’s Center for Artificial Intelligence
Anforderungen: A PhD degree in computer science, engineering, physics, data science, mathematics or a closely related field; A proven track record of carrying out cutting-edge research demonstrated by publications in top journals/conferences; A proven track record of funding acquisition through grants and/or contracts; Excellent written and verbal communication skills

Aufgaben: The appointees are expected to make significant contribution to teaching at both undergraduate and postgraduate levels; advise postgraduate research students; play an active role in curriculum development and management; maintain an active research profile; actively seek external grants and contracts to support research endeavours; provide service to the School and University governance; contribute to professional engagement, networking, and outreach activities that enhance the academic and professional life of the School
Anforderungen: A PhD in Data Science/Statistics/Computer Science/Engineering or related disciplines, with a strong research record and promising teaching ability

Aufgaben: Develop new capabilities of our engine dealing with complex shopping experiences; Take advantage of the most advanced methodologies in ML and statistics; Design and develop new data-based features aimed at revenue optimization; Participate in the design of our AI solution for e-commerce; Collect, analyze, and sample data to create deep insights for merchants
Anforderungen: MSc/PhD - advantage; 5 years or more of data science experience working with large-scale data sets; 2 years or more of hands-on ML experience; Full proficiency with SQL/R/Python or similar; Strong mathematical/engineering/statistical or similar background; E-commerce experience - big advantage

Aufgaben: Verschiedene Datenquellen verknüpfen; Bei der Durchführung von Datenanalysen und Datenintegrationen unterstützen; Bei der Konzeption und Implementierung von Machine Learning Modellen mitwirken; Die Ergebnisse visuell darstellen
Anforderungen: Studium in Data Science, Informatik oder vergleichbar; Sprachniveau Deutsch mindestens C1

Pensum: 100%
Aufgaben: Betreuung von Schlüsselkunden; Verantwortungsvolle Mitarbeit bei Zertifizierungs-Mandaten, teilweise Koordination von internen Teams; Erarbeiten eines Verständnisses des Marktes und der Mitwirkenden in CH und EU; Fachliche Mitarbeit auf Zertifizierungs-Mandaten; Unterstützung bei der Aufrechterhaltung und Erweiterung der Akkreditierung; Weiterentwicklung des Service Offerings, Teilverantwortung über Zertifizierungscluster
Anforderungen: Erfolgreich abgeschlossenes Studium in Information Technology bzw. Computer Science, oder naturwissenschaftliches Studium; Mindestens 2-3 Jahre Berufserfahrung im Bereich IT Governance, Compliance, IT Audit oder Zertifizierung (in Funktion des Zertifizierers oder Zertifizierten); Schnelle Auffassungsgabe für komplexe Zusammenhänge; Kenntnisse und von Vorteil Berufserfahrung im Bereich Software-Konzepte sowie dazugehörigen Prozessabläufe, Kenntnisse von Sicherheitseinstellungen von Betriebssystemen, Datenbanken und Netzwerk Architekturen; Kommunikative Persönlichkeit sowie fliessende Deutsch- und gute Englischkenntnisse; Exakte und selbständige Arbeitsweise; Wissensdurst, Verantwortungsbewusstsein, Belastbarkeit und ein hoher Grad an Flexibilität

Pensum: 100%
Aufgaben: As a Director you will sell and lead projects of strategic nature in areas of Procurement transformation, digitalization as well as Enterprise-wide transformation; Establish yourself as trusted advisor to clients, guiding them through the setup and implementation of their procurement operating model; Your expertise will be crucial in advising clients on transformation projects, particularly with regard to the leading e-Procurement solutions such as Ivalua, Coupa, and Ariba; Staying abreast of market developments and trends will be essential, as you will be responsible for sharing this knowledge within the organization and translating it into strategic thought leadership; Provide technical and functional expertise to customers during the implementation process; You will also be responsible for driving business development activities, which includes identifying new opportunities, developing client proposals, and leading successful pitches; Extend a successful existing team of procurement...
Anforderungen: Bachelor's or master's degree in Business administration, management, business information systems or similar; Minimum 8 years of experience in Procurement Consulting; Experience and know-how with main solutions (Ivalua, Coupa, Ariba) is a major asset; An analytical mindset to critically question facts, intellectual curiosity, structured thinking, and creativity; Excellent written and verbal communication skills in English and German, any other language is a plus; Willingness to travel (on site at our customers in Switzerland and abroad)

Pensum: 80-100%
Aufgaben: Perform IT audit, assurance and regulatory mandates for a multinational client portfolio of banking, asset management and insurance clients; Analyze risks and IT processes in a heterogeneous client environment to provide recommendations and improvement points in our clients'processes; Work in close collaboration with international and multidisciplinary account teams; Participate and contribute to the Swiss and international Financial Services KPMG network and build a personal external network in the Swiss Financial Services market; Support and further develop Financial Services audit, regulatory and assurance solutions by continuously seeking and driving improvement and innovation; Work as an independent team member and be a mentor for junior staff
Anforderungen: Degree level education (e.g. business informatics, business administration or likewise); At least 2-3 years of professional experience in the field of IT Audit, business processes and design/review of risk and control procedures; Experience with Financial Services and/or Corporate clients (preferably with Big4 history); Know-how with FS regulatory work would be an asset; Willingness and ability to travel domestically and abroad occasionally; Excellent social and communication skills; Independent working style and positive attitude; Fluent in both German or English is a mandatory requirement

Pensum: 80-100%
Aufgaben: Leite IT Assurance und IT Advisory Mandate mit Fokus auf Financial Services Kunden; Spiele eine zentrale Rolle bei globalen IT Prüfungen; Prüfe und Beurteile Finanzsysteme unter Berücksichtigung von Risk & Compliance sowie regulatorischen Vorgaben; Identifiziere Optimierungspotenziale im Team und in der Zusammenarbeit mit den verschiedenen internen Stakeholdern; Fördere die interdisziplinäre Zusammenarbeit mit anderen Abteilungen innerhalb des globalen KPMG Netzwerks; Unterstütze bei der Pflege und beim Ausbau des KPMG Kundenportfolios
Anforderungen: 4-6 Jahre Berufserfahrung in der Durchführung von IT-Prüfungen - mit Vorteil im Financial Services Umfeld; Erfahrung in der IT Assurance Mandatsleitung, Projekt- und Prozessmanagement, mit Vorteil bei grösseren Bankinstituten; Fundiertes Know-how im Bereich Risk & Compliance sowie sehr gute Kenntnisse von IT und eventuell sogar Finanzprozessen; Stilsichere Deutsch- und Englischkenntnisse in Wort und Schrift werden zwingend vorausgesetzt; Kommunikative und kundenorientierte Persönlichkeit mit viel Eigeninitiative

Pensum: 80-100%
Aufgaben: Weiterentwicklung und Betrieb der Oracle-Plattform auf Basis ExaData; Datenbank-Performance-Analysen, Optimierung sowie Scripting für den Betrieb; Überwachung und Monitoring der Oracle-Plattform mit Oracle Enterprise Manager Cloud Control (EMCC); Leitung von technischen Projekten sowie Mitarbeit in verschiedenen Kundenprojekten; Mitarbeit im Betrieb der MS-SQL-Plattform, Wartungen und Pikett-Dienst (2nd Level)
Anforderungen: Abgeschlossene Informatikausbildung, idealerweise mit einer höheren technischen Fachausbildung; Mehrjährige Praxiserfahrung im Enterprise-Umfeld im Bereich Oracle (Oracle-Linux, RAC, Dataguard, RMAN); Erfahrungen im Bereich MS-SQL-Datenbanken sind von Vorteil; Hohe Motivation, sich in komplexe Systeme und deren zukünftige Trends zu vertiefen; Selbstständige, exakte und kundenorientierte Arbeitsweise mit sicherer mündlicher und schriftlicher Kommunikation in Deutsch

Aufgaben: Shaping research directions and producing results. Topics include but are not limited to: Deep learning models suitable for deployment on edge devices (e.g., NVIDIA Jetson, FPGA, etc.); Neural Architecture Search (NAS) for minimal deep architectural design; Efficient in-orbit object pose estimation and tracking; Disseminating results through scientific publications; Providing guidance to PhD and MSc students; Providing support in setting up and running experiments in the SnT Computer Vision and the Zero-G labs; Participating in organizing relevant workshops and demonstrations; Participating to teaching activities
Anforderungen: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.); Broad experience with machine learning algorithms and deep learning concepts; Highly experienced in one or more of the following topics: Efficient deep learning; Neural Architecture Search (NAS); Embedded systems; Jetson-Nano and/or FPGA deployment; Object pose estimation and tracking

Aufgaben: You’ll develop creative architectures to address the emerging demands of computer vision and machine learning algorithms; Understand and analyze the interplay between hardware, software, and media processing algorithms; Collaborate with a diverse set of teams across the company, spanning software, research, engineering, and product groups; Publish original research and speak at conferences and events
Anforderungen: Ph.D. in CE/CS/EE with a strong background in computer architecture, VLSI, parallel processing, and/or HPC. A strong publication, patent and research collaboration history is a huge advantage; Expertise in computer vision or machine learning algorithms; Experience with experimental computer architecture development and evaluation; Experience with C, C++, and scripting languages; Strong communication skills needed. Being a creative and dynamic presenter is a big advantage

Pensum: 80-100%
Aufgaben: In dieser vielfältigen Funktion unterstützt du Kunden verschiedenster Sektoren und Grössen bei der Erarbeitung von Information Security Management-Systemen sowie der Beurteilung ihrer IT-Infrastruktur. Dazu gehört auch die externe Beratung in den Bereichen: Cyber Security, Security Incident Response, Vulnerability Management/Assessment, GRC/ISMS, Information Security Risk Management, Awareness und diverser Audits. Kundenbeziehungen ausbauen und pflegen sind für Dich bei der Arbeit mit Kunden selbstverständlich. Mit Deinem Wissen unterstützt Du zudem in Projekten zum Aufbau von neuen Kundenservices
Anforderungen: Studium mit Schwerpunkt Informatik (FH/Uni) oder vergleichbare Ausbildung (z.B. MAS Informationssicherheit); Erste Projekterfahrung im Bereich digitale Transformation; Know-how und Erfahrung in mindestens einem der folgenden Themen: Planung, Konzeption und Aufbau von Informationssicherheits-, Datenschutz- und Risikomanagement-Frameworks auf Basis der gängigen Standards, z.B. ISO 27001/2 und/oder NIST Cyber Security Framework

Abteilung: IWU - Werkzeugmaschinen und Umformtechnik
Aufgaben: Physische Anbindung eines konfokal-chromatischen Abstandssensors inklusive dessen Steuereinheit und zusätzlicher Peripherie an eine Werkzeugmaschine; Konfiguration des Sensorsystems; Anbindung/Verkabelung der Steuereinheit an eine Siemens Edge und; Entwicklung und Programmierung einer Routine für den Export der Sensormesswerte
Anforderungen: Sie interessieren sich für Produktionstechnik und studieren Informatik, Elektrotechnik, Mechatronik, Informationstechnik, Maschinenbau oder ein vergleichbares Fach; Erfahrungen im konstruktiven Bereich (CAD; SolidWorks); Sie besitzen ein hohes Mass an Eigeninitiative und Teamgeist, arbeiten systematisch, sind motiviert und begeistert für interdisziplinäre Themengebiete, ausserdem zeichnet Sie eine schnelle Auffassungsgabe aus; Optimaler Weise haben Sie bereits Erfahrungen im Umgang mit Sensor- und Steuerungstechnik gesammelt

Aufgaben: One year appointment teaching all levels of mathematics courses and/or statistics courses. Duties include 12 hours of teaching each Fall and Spring semester totaling 24 hours of teaching per academic year. Courses will be made up of 3 and/or 4 credit hour courses. One year appointment with possible reappointment, pending funding and evaluations
Anforderungen: Candidates should have a Ph.D. in Mathematics or closely related field. Applicants from all areas of mathematics are encouraged to apply

Aufgaben: Teaching, research, and service responsibilities in the area of applied mathematics and statistics
Anforderungen: Ph.D. in mathematics, statistics, or a related field

Aufgaben: Post-Doctoral Fellow (A or B) with PhD in Multi-Object Tracking and Robotics
Anforderungen: PhD (or soon to be awarded) or equivalent industry experience in; Robotics; Signal Processing/Control; Path Planning/Trajectory Planning; Multi-Target Tracking/Multi-Object Tracking; Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches; NeRF

Aufgaben: As part of the Energy Services Team, you will be responsible for researching new ways to measure emissions and evaluate existing methodologies. Additionally, you will work with data from grid operators and other energy data sources to power new features across Apple’s ecosystem. Your role will require you to explore different ways to evaluate our short-term and long-term impact on the environment. We will help you build consensus for new ideas, based on a data driven story
Anforderungen: 5+ years relevant industry experience with Machine Learning, Statistics, Data Engineering, or similar; Strong programming background, preferably in Python; Experience with data analysis, data science tools, and data visualization; Experience with time series forecasting & evaluation, clustering methodologies and classification models

Aufgaben: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Anforderungen: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems

Aufgaben: Collaborate with researchers and data scientists to design sophisticated machine learning models; Implement and fine-tune neural network architectures, including transformer-based models; Optimize model performance, scalability, and efficiency; Conduct experiments to evaluate model performance, robustness, and generalization; Explore novel techniques and approaches to enhance model capabilities; Stay up to date with the latest advancements in NLP, deep learning, and AI research; Work with large-scale datasets, preprocess them, and create appropriate data representations; Select relevant features and ensure data quality for training and evaluation
Anforderungen: Total 8+ years of relevant experience; Depth in Data Science, Generative AI and Engineering; Background in machine learning, deep learning, and natural language processing; Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality product

Aufgaben: Participate in the development process of ML based financial products as a technical leader; Collaborate with colleagues on production machine-learning systems and applications; Design, experiment, and evaluate software systems; Write, test, and maintain production-quality code; Represent Bloomberg at conferences and open-source communities; Demonstrate technical leadership by owning cross-team projects; Build the libraries and frameworks that support fault tolerant and testable systems
Anforderungen: A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience; 5+ years of experience building and deploying Machine Learning models to production; 2+ years of experience in leadership, managing and coaching globally distributed teams and influencing third party technology strategy; Extensive experience in software engineering

Aufgaben: Apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling; Utilize multiple sources of data, including structured and unstructured data, along with broad range of machine learning techniques to improve insights of the models; Support the development of new modeling techniques and procedures; Develop and maintain high-quality, robust predictive models using advanced analytic techniques
Anforderungen: Proficiency with a one or more statistical programming languages, applications and data environments (e.g., Python, SQL, R, Tableau); BS/MS or PhD in a statistical, mathematical, or technical field (e.g., computer science, actuarial science); 4+ years of experience in developing and implementing data science techniques

Aufgaben: Wrangling data from multiple payment data sources used across the bank including data lake, data marts as well as 3rd party data for building data science products; Partner and provide thought leadership working with data engineering and data architecture teams to provide payments data expertise for building reusable analytical engineering products; Build highly specific analysis and insights using a variety of data mining techniques applied to payments data and customer behavior as observable through payment trends, usage and patterns; Performing full life cycle data science implementation in support of stakeholder business objective and strategic analytical initiatives: including data assessment, exploratory data analysis, model development, model evaluation, model deployment and monitoring by leveraging structured, unstructured, and temporal data
Anforderungen: Bachelor’s Degree in Mathematics, Statistics, Econometrics, Computer Science or degree in Business or Finance with quantitative specialization; 3-10 years of work experience in building, testing, and deploying machine learning models in production; Experience working with Payments standards such as NACHA, ISO, PCI/DSS and/or experience working with core banking platforms