Workload: 80-100%
Duties: Zuverlässiger Betrieb und Weiterentwicklung der virtuellen Infrastruktur mit Hyper-V und VMware/ESXi, schwergewichtig Windows-Betriebssystem; Zuverlässiger Betrieb und Weiterentwicklung der M365-Cloud-Umgebung der OST im Sinne der «Cloud First»-Strategie; Mitarbeit in ICT-Projekten; Mitarbeit im ICT-Support; Mitwirken bei der Ausbildung der Lernenden
Requirements: Höhere Ausbildung in Informatik (FH, HF) und/oder entsprechende Berufserfahrung, mehrjährige Erfahrung als ICT Systems Engineer; Fundierte Kenntnisse im Bereich virtuelle Serverumgebungen, idealerweise auch M365; Von Vorteil sind darüber hinaus Kenntnisse im Bereich Linux, Netzwerk und Client-Management; Fachlich vielseitiges Interesse und Bereitschaft, sich gerne mit modernsten ICT-Technologien auseinanderzusetzen; Bereitschaft zur laufenden fachlichen Weiterentwicklung; Selbständige Arbeitsweise im Team; Fähigkeit, komplexe Zusammenhänge zu erkennen und zu analysieren

Workload: 100%
Duties: Get to know "Thought Leadership" firsthand responding to today's changing market environment and new challenges in cyber security; Help our clients assess, build, and improve the effectiveness and quality of their information security as part of interdisciplinary teams of specialists working on advisory projects; Analyze complex enterprise environments from a cyber security perspective in different industries; Provide visibility and remediation of vulnerabilities and compromises, by among other executing penetrations tests and supporting crisis simulations; Help clients effectively and efficiently respond to cyber incidents; Assess information security management systems and provide independent assurance in accordance with national and international regulations and standards
Requirements: Bachelor's or Master's degree in (business)informatics, computer science, cyber security or similar; First experience in information security or in a comparable environment is preferred; A must: an interest in advisory topics and a deep technical understanding gained through training or other experience; Team spirit, determination, willingness to take action, and quick and analytical thinking; Proficiency in English and German

Duties: Du erstellst Software mittels Java unter Verwendung von Restful- Technologien, BPMN Prozessautomatisierung mit Camunda, Angular (Frontendentwicklung) u.v.m; In modernen Entwicklungsumgebungen arbeitest Du an integrativen Lösungen; Du bringst dich aktiv beim Design von Software und den zugrundeliegenden Prozessen ein; Durch aktive Mitarbeit lernst Du klassische und agile Projekt-Methoden kennen
Requirements: Studium der (Wirtschafts-)Informatik, Mathematik, Physik oder eines vergleichbaren Studiengangs; Erste Programmiererfahrungen in Java; Selbständiges, ergebnisorientiertes und engagiertes Arbeiten; Gute Auffassungsgabe und die Motivation, sich in neue Themengebiete einzuarbeiten; Ausgeprägte Lernbereitschaft und Freude an Teamarbeit

Duties: Customising the specialist requirements in the modules for external and internal accounting in SAP FS-RI and S/4 HANA; (Further) development of source codes, technical documentation and references in SAP FS-RI and S/4 HANA; Acceptance tests for externally developed software and code reviews; Creation and execution of module tests as well as subsequent system integration and interface programming; Handling 2nd-level support requests as well as troubleshooting in collaboration with the Service Desk
Requirements: Experience in object-oriented software development; Expertise in SAP FS as well as the SAP authorisation system; prior knowledge of S/4HANA is an asset; Strong affinity for processes in accounting; Bachelor's degree in business IT, business administration or a comparable qualification with relevant internships or completed Master's degree; Proficient user skills in German and English (at least level C1)

Duties: Unterstützung in der Entwicklung bankfachlicher Anwendungen in den Programmiersprachen Java und/oder TypeScript; Unterstützung von Testaktivitäten zur Qualitätssicherung und begleitenden Kundenabnahmen; Unterstützung bei der Weiterentwicklung einer modernen serviceorientierten Architektur; Unterstützung bei Fehleranalysen und Code-Review
Requirements: Du bist Student der Wirtschaftsinformatik, Informatik oder einer vergleichbaren Fachrichtung; Du verfügst über gute IT-Grundkenntnisse (Java, SQL, JavaScript, ggfs. TypeScript); Du hast ein gutes Verständnis von komplexen Zusammenhängen; Du hast ein gutes technisches Verständnis; Du bist sicher im Umgang mit gängigen MS-Office Anwendungen

Duties: Optimize 5G New Radio (NR) with waveform based on orthogonal frequency-division multiplexing (OFDM) and its evolution for satellite communication (Satcom) applications; Design machine learning models to reduce the computational complexity and power consumption of several physical layer processing blocks of the receiver, such as decoding, channel estimation, and demodulation; Ensure the ML models reduce the complexity while maintaining satisfactory performance in terms of throughput and bit-error-rate
Requirements: A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications and AI/ML tools and methods; Experience in signal processing for wireless communications algorithms. Especially strong knowledge of the physical layer (tasks such as decoding, demodulation, and estimation); Background in optimization theory; Experience using machine learning to solve/improve physical layer processing tasks, especially decoding

Duties: The successful candidate will join the young, strong and motivated SpaceR research group focused on increasing the autonomy of aerial, planetary and orbital robotics for on-earth applications, space exploration, on-orbit servicing and manufacturing, and space resource utilization
Requirements: Qualifications: The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine

Duties: Carrying out novel research works in one of the following predefined areas; Novel communications technologies for Beyond 5G/6G networks and services; Cellular, UAV, IoT, Tactile Internet, MEC, V2X, D2D, M2M, eMBB, mMTC and URLLC; Machine learning/deep learning techniques and Artificial Intelligence for wireless communications; Reinforcement learning, active learning, transfer learning, federated learning and interpretable/explainable AI; Software defined networking, network virtualization and network slicing for wireless networks; Energy-efficient communication technologies; Energy harvesting, SWIPT, backscatter communications and reconfigurable intelligent surfaces
Requirements: The candidate should possess an M.Sc./M.Eng. Degree in Telecommunication Engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering. The candidate should have some knowledge and experience in some of the following topics/tools: 5G wireless communications technologies; Wireless Internet of Things (IoT) technologies; Unmanned Aerial Vehicles (UAVs); Resource allocation and optimization; Network virtualization and network slicing

Duties: The proposed PhD project will be a continuation of research done by Jim Barthel in computational number theory and public key cryptography in the context of the PRIDE project. A possible research starting point for this PhD project is the practical evaluation of a combination of graph-based techniques with number-theoretic problems like the “simultaneous Chinese Remainder Theorem” or integer factorisation and generalizations thereof, especially practical evaluations of possible algorithms for the “Decisional Simultaneous Chinese Remaindering” problem is of interest. Suggestions for other interesting research topics in computational number theory or public key cryptography can also be discussed
Requirements: Master-degree in Computer Science or Applied Mathematics; Proven interest in computational number theory or public key cryptography is required; Commitment, team spirit, a critical mind, and motivation are skills that are more than welcome; Language: English is a must, French/German in addition would be an asset; Willingness to inscribe as PhD-student at the University of Luxembourg

Duties: The candidate is expected to conduct research on the development of tensor decomposition theory and algorithms and leverage it to solve challenging machine learning problems. Specifically, several research themes can be investigated, such as adversarial machine learning, nonlinear tensor decomposition and generative models. The experiences and expertise in tensor methods, Bayesian methods and trustworthy machine learning are highly expected
Requirements: must have a Ph.D. or expect to receive a Ph.D. before the date of employment in machine learning, computer science, statistics or a related field

Duties: The University of South Carolina invites applications for a SmartState Chair to direct the SmartState Center for Data Analysis, Simulation, Imaging, and Visualization (DASIV) in conjunction with the Williams-Hedberg-Hedberg Endowed Chair of Mathematics. This is a tenured, 9-month, full Professor position in the Department of Mathematics with the earliest starting date on August 16, 2023
Requirements: The successful candidate should have a Ph.D. in Mathematics or a related area plus at least nine years of effective, relevant experience. The candidate’s research specialization should be in areas of mathematics consistent with the Center’s major thrusts in data science, physical simulation, imaging, and visualization

Workload: 100%
Duties: In einem jungen, innovativen Team können Sie Ihre technischen Fähigkeiten einbringen, diese konsequent weiterentwickeln und spannende Entwicklungsprojekte realisieren. Im Geschäftszentrum „Software Engineering & IT“ in Aarau entwickeln wir kundenspezifische Software-Applikationen, IoT- und Cloud-Lösungen. Neben der Implementierung übernehmen Sie auch Aufgaben im gesamten Entwicklungsprozess von der Erfassung von Anforderungen, Definition der Softwarearchitektur bis hin zum Testing und Deployment
Requirements: Wir erwarten einen sehr guten Hochschulabschluss (FH, ETH, Uni) in Informatik oder äquivalenter Ausbildung. Zudem bringen Sie erste Erfahrungen als Softwareentwickler mit; Praktische Erfahrungen in der agilen Software-Entwicklung mit einer Hochsprache (C#/.Net, Java oder C++); Praktische Erfahrung in Cloud Entwicklung (Azure und/oder AWS); Erfahrung mit modernen Frontend Web Technologien (z.B. Angular, React, HTML, Javascript)

Duties: Is motivated, team-oriented, sociable, reliable and self-driven; Is not afraid to try and keep learning; Enjoys working face to face with clients and business users; Cares about quality, is dedicated and is willing to take on responsibility; Has a passion for data analytics and DevOps; Embraces a solution-oriented can-do collaborative attitude; Brings a good knowledge of Python and software development principles
Requirements: Master degree or PhD in Computer Science, Physics, Engineering or related fields; Professional experience in software development; Ability to think critically and arrive at elegant solutions to challenging problems; Expert knowledge of Python, code modularization and packaging, unit testing; Good understanding of object-oriented design, data structures and algorithms; Experience with DevOps, CI/CD and Cloud integrations (preferably MS Azure)

Duties: This role will be the key data science leader for building our generative AI practice, in collaboration with our head of ML Ops. It initially reports directly to Glenn and may later be integrated in the data science area with the largest use cases. The person in the role is expected to have prior experience with creating generative AI solutions and will need to attract others with that skills set. NYL’s CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this leader has to opportunity to help build out that vision and with it their responsibility. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential
Requirements: Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar; 8+ years of experience with predictive analytics using large and complex datasets; Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP)

Workload: 100%
Duties: Erhalte erste Einblicke in die vielfältige IT-Welt unserer nationalen und internationalen Kundschaft; Unterstütze die externe Revision bei der Prüfung von ERP Systemen und deren Geschäftsprozessen; Beurteile IT Prozesse sowie deren Kontrollen und helfe bei der Optimierung des internen Kontrollsystems; Analysiere IT-gestützte Geschäftsprozesse mithilfe von neusten Technologien und identifiziere Optimierungspotenzial im Rahmen der finanziellen Berichterstattung und von IT Projekten; Arbeite direkt bei unseren Kund*innen vor Ort und interagiere selbständig mit unseren Kund*innen, im spezifischen mit IT Mitarbeitenden in leitenden Funktionen sowie auf operativer Ebene; Lerne ETL- und Datenverarbeitungsprozesse in einer SQL-Umgebung kennen und trage zu interessanten Fragestellungen bei
Requirements: Bachelor- oder Masterabschluss in einer wirtschaftlichen oder technischen Studienrichtung; Grosses Interesse an der Analyse und Bewertung von IT-Umgebungen und -Prozessen; Wille, dir einen fundierten Einblick in die vielfältige IT Welt unserer nationalen und internationalen Kundschaft zu erarbeiten; Ausgeprägte Eigeninitiative, gute analytische Fähigkeiten mit Anspruch auf höchste Qualitätsstandards; Erste relevante Berufserfahrung von Vorteil; Fliessende Deutsch- und Englischkenntnisse

Workload: 100%
Duties: Get to know "Thought Leadership" firsthand responding to today's changing market environment and new challenges in cyber security; Help our clients assess, build, and improve the effectiveness and quality of their information security as part of interdisciplinary teams of specialists working on advisory projects; Analyze complex enterprise environments from a cyber security perspective in different industries; Provide visibility and remediation of vulnerabilities and compromises, by among other executing penetrations tests and supporting crisis simulations; Help clients effectively and efficiently respond to cyber incidents; Assess information security management systems and provide independent assurance in accordance with national and international regulations and standards
Requirements: Bachelor's or Master's degree in (business)informatics, computer science, cyber security or similar; First experience in information security or in a comparable environment is preferred; A must: an interest in advisory topics and a deep technical understanding gained through training or other experience; Team spirit, determination, willingness to take action, and quick and analytical thinking; Proficiency in English and German

Duties: Develop the vision and strategic plan for FL94’s machine learning platform, driving novel discoveries in small molecule chemistry; Build and lead the data science team translating small molecule and proteomic drug discovery challenges into breakthroughs via deep learning applied to computational chemistry; Own the philosophy and strategy behind core machine learning technology and applications; Develop a robust data portal that will enable the application of generative models to proprietary chemoproteomics data; Define team mission and propose org structure and interaction model to ensure for successful execution
Requirements: A proven leader with a Ph.D. in machine learning, statistics, computer science, mathematical modeling, operations research, or related field computational chemistry, or other highly-technical fields from a recognized higher-education establishment; >3-10 years of experience in the area of computational science and artificial intelligence with track record and experience track record of solving real-world problems. Ideally candidates would have deep experience in small molecule drug discovery, talented candidates without such experience will also be considered

Duties: We offer attractive PhD candidate positions including industrial PhD positions conducting research in close cooperation with an industrial partner. The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to pursue a PhD in the general area of Computer Vision
Requirements: A master’s degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Strong background in image/signal processing or/and in computer vision; Strong programming skills in Python/Matlab/C/C; Strong mathematical background; Familiarity with deep learning frameworks such Pytorch, Tensorflow; Commitment, team working and a critical mind; Fluent written and verbal communication skills in English are mandatory

Duties: The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to carry out research in the general area of Computer Vision. Multiple positions are open
Requirements: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in computer vision and/or image/signal processing focusing on one or more of the following topics: Computer vision; Pattern recognition; Deep learning/machine learning; Computer graphics; Experience with European projects (FP7/H2020), national/international projects and/or industrial project; Strong mathematical background; Experience with machine learning algorithms; Commitment, team working and a critical mind; Strong development skills in Python, Matlab or/and C++; Familiarity with deep learning frameworks such as Pytorch and Tensorflow; Fluent written and verbal communication skills in English are mandatory

Department: Assurance
Workload: 100%
Duties: Gain valuable insights into the daily challenges of our Digital Assurance business unit and accompany our teams on various IT audit and consulting assignments; Be part of the team when we examine internal control systems, business processes and IT systems at our customers in order to increase the efficiency, security and effectiveness of the internal control and monitoring systems and to ensure proper processes; Audit independently IT-supported business processes, e.g. relating to accounting, as well as IT applications and infrastructures - guided and coached by experienced employees; "Audit 4.0" - analyze financially relevant transactions and master data with a view to irregularities and support process mining projects
Requirements: At least in the 4th semester of your studies (Bachelor/Master) in (business) informatics, economics or a similar field; Strong analytical and conceptual skills as well as flexibility; Strong in communication, show initiative and enjoy working in diverse project teams; Fluent in German and English both in writing and speaking

Duties: Erhalte erste Einblicke in die vielfältige IT-Welt unserer nationalen und internationalen Kundschaft; Unterstütze die externe Revision bei der Prüfung von ERP Systemen und deren Geschäftsprozessen; Beurteile IT Prozesse sowie deren Kontrollen und helfe bei der Optimierung des internen Kontrollsystems; Analysiere IT-gestützte Geschäftsprozesse mithilfe von neusten Technologien und identifiziere Optimierungspotenzial im Rahmen der finanziellen Berichterstattung und von IT Projekten; Arbeite direkt bei unseren Kund*innen vor Ort und interagiere selbständig mit unseren Kund*innen, im spezifischen mit IT Mitarbeitenden in leitenden Funktionen sowie auf operativer Ebene; Lerne ETL- und Datenverarbeitungsprozesse in einer SQL-Umgebung kennen und trage zu interessanten Fragestellungen bei
Requirements: Bachelor- oder Masterabschluss in einer wirtschaftlichen oder technischen Studienrichtung; Grosses Interesse an der Analyse und Bewertung von IT-Umgebungen und -Prozessen; Wille, dir einen fundierten Einblick in die vielfältige IT Welt unserer nationalen und internationalen Kundschaft zu erarbeiten; Ausgeprägte Eigeninitiative, gute analytische Fähigkeiten mit Anspruch auf höchste Qualitätsstandards; Erste relevante Berufserfahrung von Vorteil; Fliessende Deutsch- und Englischkenntnisse

Workload: 100%
Duties: Advise KPMG clients around Digital Technology, IT & digital strategy, technology transformation and sourcing, IT in Mergers & Acquisitions, IT sourcing, cloud, business and IT transformation; Define strategy concepts around IT Strategies, Digital Transformation, IT Governance and IT Operating Model, etc; Support the project setup and execution together with senior members of the team; Help in the creation and extension of our KPMG solutions around Digital Transformation; Support in business development activities; Benefit from the opportunity to participate in project-related work in other Management Consulting Teams
Requirements: Master's degree in Business, Information Technology, Computer Science, Business Innovation or similar; First experience in Digital Transformation and/or Digital Technology or in a comparable environment is preferred; A keen interest and knowledge of digital trends and technologies, combined with the desire to learn and adapt to emerging tech; Teamwork, good project and client management skills as well as excellent verbal and written communication skills; Proficiency in English and German

Workload: 80-100%
Duties: Leitung und Führung von interdisziplinären und technologischen Gross-/Projekten, Aufgaben sowie Programmen; Entwicklung sowie Prüfung von Lösungsvarianten und eigenständige Organisation zur Abwicklung der Projekte; Verantwortung für das integrale LifeCycle-Management der Systeme zusammen mit den Abteilungen Service Engineering Center und Medical System Engineering; Erstellung von Pflichtenheften, Anforderungs- und Stakeholder Analysen sowie das Risikomanagement gehören als integrale Bestandteile in ihr Tätigkeitsgebiet; Erstellen und Formulieren von Projektaufträgen, Arbeitsaufträgen und Terminplanungen mit Hilfe der gängigen Software-Programme
Requirements: Studium (Uni, FH, HF) vorzugsweise im technischen Bereich sowie entsprechende Weiterbildung; Mehrjährige Erfahrung in der Projekt-/Teilprojektleitung von interdisziplinären Projekten, integrales Verständnis für systemtechnische Disziplinen und Prozesse; Sie haben eine hohe Sozial- und Kommunikationskompetenz sowie Freude an der Zusammenarbeit und Führung in interdisziplinären Projektteams; Sie sind stark in der Lösungsfindung von konzeptionellen Fragestellungen, arbeiten systematisch und haben ein ausgeprägtes Systemverständnis

Duration: 2 y
Duties: Lehrtätigkeit im Bereich Computeranimation bis zu 6 Semesterwochenstunden; Unterstützung der Fachbereichsleitung bei der Koordination und Entwicklung von Lehrveranstaltungen und wissenschaftliche Aufbereitung von Lehrinhalten für den Fachbereich; Unterstützung und Vorbereitung von studiengangsspezifischen Veranstaltungen (z.B. Events, Fachvorträge oder Konferenzen); Betreuung von studentischen Projekten und wissenschaftlichen Arbeiten; Administrative und organisatorische Aufgaben; Teilnahme am Weiterbildungsprogramm im Bereich Hochschuldidaktik
Requirements: Fachspezifischer Hochschulabschluss im Bereich Computeranimation (Master/Magister/Dipl. Ing.); Sehr gute Kenntnisse in Maya, Unreal oder Houdini, Adobe CC Suite; Erfahrung in der Produktion von Animationen oder Videospielen; Ausgezeichnete Deutsch- und Englischkenntnisse

Duties: Improve the trust and safety strategy of live/video service by various strategies Perform deep dive analysis into specific problem spaces by attribution analysis, provide knowledge that will guide strategy in algo model improvement Work with vast amounts of data and convert insights into intuitive, actionable results that will drive strategy and decision-making. Develop machine learning models and algorithms to detect the issues of the current moderation system and also the TikTok ecosystem
Requirements: Bachelor's degree in Computer Science, Statistics, Data Science, Operations Research or a related field. An advanced degree (Master's, PhD) is preferred; Excellent ability to analyze and solve problems, full of passion for solving challenging problems; Proficient in Python, Pandas, Scikit-learn, SQL, Tableau or PowerBI, good knowledge of big data processing tools like Hadoop, Spark, etc