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

Aufgaben: The Department of Linguistics at University of Florida invites applications for a Visiting Assistant Professor in the areas of syntax and semantics beginning August 16, 2024. This is a 9-month, full-time, non-tenure-accruing, appointment with a 2/2 course assignment. Expertise in syntax and semantics is required and additional expertise in field methods and morphology is welcome. Participation in department life and appropriate department service are also expected
Anforderungen: A Ph.D. in linguistics or be in their final year of Ph.D. study

Aufgaben: Visiting Assistant Professor/Instructor in Mathematics to teach courses in Mathematics at the undergraduate level. Position begins August 19, 2024. The position is renewable for up to five years, contingent on performance and funding
Anforderungen: Ph.D. in Mathematics

Aufgaben: The Department of Mathematical Sciences within the School of Natural Sciences and Mathematics (NSM) at The University of Texas at Dallas invites applications for multiple tenure-track faculty positions at the Assistant Professor level in the following areas: Mathematics; Statistics; Data Science
Anforderungen: A PhD or equivalent in Mathematics, Statistics, or a related discipline is required prior to employment; those with ABD status will be considered at the application/interviewing stage

Aufgaben: Quantum communication/Quantum key distribution/Quantum networks; Development of testbeds for quantum communication; Experimentation equipment of quantum communication infrastructure; Free space optical communication; Fiber optics/photonics/optoelectronics; Statistical signal processing; Physical layer security; Machine learning and artificial intelligence applied to quantum communications
Anforderungen: The candidate should possess a Master in Engineering (M.E. or M.Sc.) degree or equivalent in Engineering, Computer Science, Applied Mathematics, Applied Physics, and an experience in a number of the following topics: Development, deployment, and contruction of laboratory testbeds; Laboratory Instrumentation; Knowledge of photonics and optics is highly valuable; Knowledge of Linux; Network management; Optical fiber connectivity (Patching, Mux/Demux); Web API management and GUI development

Aufgaben: This PhD will focus on applying model-based RL technics to increase the autonomy of space robots for near-field operations
Anforderungen: The candidate should possess an MSc degree or equivalent in Computer Science, Data Science, or Robotics engineering

Pensum: 60-100%
Aufgaben: Sie sind verantwortlich für den 1st & 2nd Level Support beim Kunden vor Ort oder via Remote; Sie übernehmen selbständig das Ticket-Handling (Voranalyse, Prüfen, Lösen oder Weiterleitung an die zuständige IT-Stelle); Sie verwalten User, Applikationen und Endgeräte; Sie betreuen kompetent unsere Kundinnen und Kunden und arbeiten in IT-Projekten mit
Anforderungen: Abgeschlossene Ausbildung im Informatik-Umfeld oder laufendes Studium; Flair für Systemtechnik; Sehr gute Kenntnisse im Bereich Windows-Clients und MS Office

Pensum: 80-100%
Aufgaben: Personelle und fachliche Führung des IAM-Teams mit vier Mitarbeitenden; Sicherstellung eines effizienten und stabilen Betriebs der IAM-Plattform NetIQ inkl. sauberem Change-, Test- und Release-Management; Projekt- und Teilprojektleitungen bei IAM-Vorhaben; Aktive Beratung und Schulung der internen und externen Kunden bezüglich IAM-Anwendung und Aufzeigen von Optimierungspotenzialen; Weiterentwicklung der Applikationsarchitektur mit IAM-Bezug sowie Konzeption und Umsetzung von neuen Schnittstellen
Anforderungen: Aus-/Weiterbildung im Bereich Informatik oder Wirtschaftsinformatik; Führungserfahrung; Mehrjährige Erfahrung als Spezialist für Identity & Access Management; Idealerweise Praxiserfahrung im Bereich NetIQ, Microsoft AD/LDAP, SQL, PowerShell und in der IAM-Schnittstellenanbindung; Teamplayer mit guten kommunikativen Eigenschaften

Aufgaben: ENSI is responsible for the supervision of Swiss nuclear facilities, i.e. the nuclear power stations, the interim storage facility for radioactive waste, the nuclear research facilities at the Paul Scherrer Institute (PSI) in Villigen and the Ecole Polytechnique Fédérale in Lausanne. Its regulatory remit covers the entire life of a facility, i.e. from initial planning, through operation to final decommissioning including the disposal of radioactive waste
Anforderungen: We crawl all higher jobs in research, teaching and administration at ENSI automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: Analyze and interpret complex datasets using Python/SQL and other analytical tools; Develop and maintain data hygiene processes to ensure data quality and results accuracy; Deliver results and insights using different data sources; Utilize Python/SQL to automate recurring projects as well as Ad Hoc request; Appropriately account for the timeliness and quality of all assignments
Anforderungen: Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, mathematics, marketing analytics) or significant relevant coursework; 1; 3 years’ professional experience with data mining, segmentation, and/or predictive modeling using large, marketing databases; Demonstrated proficiency in Python/SQL programming; minimum 2 years; Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook; Strong analytic thought process and ability to interpret findings

Aufgaben: Develop algorithms and software solutions that integrate and evaluate large datasets from multiple disparate sources, and collaboratively identify biologically and clinically meaningful insights from large data and metadata sources; Lead and execute initiatives to apply AI and machine learning approaches to accelerate clinical trials, the areas of focus include patient recruitment, site selection, patient compliance and drop off etc; Interpret and effectively communicate insights and findings to product, service and business managers with great attention to detail & accuracy; Proactively seek for new opportunities, ask the right questions, prioritize and translate the business requirements into a data science problem and solution
Anforderungen: Master's degree in Data Science, Machine Learning, Electrical Engineering, Biomedical Engineering, or equivalent from an accredited college or university. (PhD preferred.); Minimum of 2 years of applied technical experience in machine learning, advanced analytics, and algorithmic model development, including predictive analytics and deep learning; Understanding of clinical trial processes, protocols, and operational challenges

Aufgaben: Architect, design, enhance, and build next generation fraud detection solutions. You will support all the product engineering lanes of EOR, with their AI/ML initiatives; Drive the architecture for key cross team/cross product AI/ML projects (via architecture/design documents and developing code key modules); Collaborate with product stakeholders to formulate business problems as technical data-centric problems; Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code as needed; Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems
Anforderungen: 12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience; PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis; Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks

Aufgaben: As a Computational Biologist, you will lead the integration and analysis of complex biological datasets to uncover novel drug targets and biomarkers. You will apply advanced computational and statistical techniques to CRISPR-based gene editing screens, DNA sequencing, transcriptomics, epigenomics, and proteomics data. Collaborating closely with interdisciplinary teams, you will drive data analysis strategies and contribute significantly to our drug discovery and development processes
Anforderungen: PhD in Computational Biology, Bioinformatics, Biostatistics, or a related field, with 2+ years of post-PhD experience. Industry experience preferred; Experience in Oncology and knowledge of cancer biology; Experience in cancer genomics and sequencing analysis required. Familiarity with publicly available genomics datasets and omics data resources; Proficiency in programming languages (Python, SQL) and bioinformatics tools/packages (R) and AWS

Aufgaben: We are hiring a Head of Data Science with broad experience and deep expertise in applying machine learning to real-world problems. You will develop and communicate hypotheses, analyses, results, ecosystem trends and ultimately innovative solutions to various stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program managers. As a part of Industry Solutions Engineering (ISE), at the AI Acceleration Studio we work closely with senior executives and cross-functional teams as we bring design, data science, and engineering to jointly develop cloud-based solutions that have high impact and can accelerate the organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more. We pride ourselves on making contributions to open source and making our platforms easier to use
Anforderungen: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

Pensum: 100%
Aufgaben: Wirke bei der Konzeption und Entwicklung von Lösungen und Produkten für die Datenanalyse, -berichterstattung und -visualisierung im Bereich Audit und Assurance mit; Erkenne, Erörtere und Untersuche die herausfordernde Geschäftsprobleme von unseren Kunden und Wirtschaftsprüfern; Erhalte Einblicke in verschiedene Geschäftsprozesse, IT-Systeme und Datenmodelle unserer nationalen und internationalen Kunden; Unterstütze unser Team bei der Integration unserer Lösungen in bestehende Geschäftsprozesse unserer Kunden; Interagiere mit Kunden verschiedener Branchen und Funktionsbereichen (Marketing, Vertrieb, Betrieb, Finanzen)
Anforderungen: Mindestens zwei abgeschlossene Semester in einer wirtschaftlichen oder technischen Studienrichtung; Grosses Interesse an der Analyse und Bewertung von Geschäftsdaten, IT-Umgebungen und Business-Prozessen; Wille, dir einen fundierten Einblick in die vielfältige Datenwelt 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

Aufgaben: Sie verantworten den Aufbau eines pragmatischen Architektur-Management und erstellen dessen Architekturdokumentation; Sie begleiten unsere externen Projektleiter aus IT-Sicht bei unseren internen anstehenden Projekten (Erneuerung KIS, Erneuerung ERP, Lifecyle-Infastruktur-Projekte, etc.) und sind für die projektübergreifende Planung zuständig; Sie erstellen periodische Berichte zuhanden unseres Managements und der Geschäftsleitung und erarbeiten ein neues Betriebsmodell bis Mitte 2026
Anforderungen: Sie verfügen über eine fundierte IT-Ausbildung (Fachausweis, Informatik-Studium, etc.) und bringen bereits erste Erfahrungen im Gesundheitswesen mit; Sie überzeugen uns durch Ihre Kenntnisse in Architektur-Management sowie im Service Management; Mit Ihrer schnellen Auffassungsgabe, Ihrer selbstständigen sowie zuverlässigen Arbeitsweise und Ihrer Flexibilität wie auch Dienstleistungsorientierung bereichern Sie unser Team und sind ein zuverlässiger Partner für interne und externe Kunden

Abteilung: Advisory
Pensum: 100%
Aufgaben: You will work in challenging, international and fast paced SAP transformation programs focusing on strateg selection, design and implementation of the newest SAP solutions like S/4HANA and S/4HANA Central Finance; You will analyze our client's business finance and controlling processes, evaluate the best use of SAP solutions and, advise our clients on design and implementation of best-practice SAP finance and controlling solutions; You will manage sub-projects and lead teams of functional consultants and client staff
Anforderungen: You have a degree (bachelor/master/diploma) preferred in business, IT, engineering or business information systems or digital discipline. Preferably you focused and specialized on finance/controlling during your primarily and further education; You have more than 5 years of experience in process consulting and implementation of SAP finance and controlling solutions. Preferably you focused and specialized on finance/controlling during your primarily and further education; You have expert knowledge in specific SAP finance modules and a profound understanding of related business processes. You also have a very good understanding regarding the overall finance integration across finance and operations

Aufgaben: Looking for a Java Developer/Back-End
Anforderungen: In-depth knowledge in software engineering focusing on technologies like Java, Spring framework and Spring Boot, Hibernate/JPA, SQL; Hands-on experience in building distributed applications, (preferably) using microservice architectures and various integration patterns (messaging, RESTful API); Good knowledge and sound understanding of database technologies (SQL, Oracle PL/SQL); Interest or experience in blockchain/DLT makes the resource preferrable

Pensum: 100%
Aufgaben: Analysiere und beurteile zusammen mit unseren Technology Risk Spezialist*innen IT Prozesse; Identifiziere Optimierungspotenzial sowohl im Rahmen der finanziellen Berichterstattung als auch von IT-Risk Management Projekten; Übernehme von Anfang an Verantwortung und interagiere selbständig mit unserer Kundschaft; Baue dir ein berufliches Netzwerk auf und erhalte fundierte Einblicke in die vielfältige IT Welt von nationalen und internationalen Financial Services Unternehmen
Anforderungen: Erfolgreicher Bachelor- oder Masterabschluss im Bereich Informatik, Wirtschaftsinformatik oder Betriebswirtschaft mit Vertiefung in Informatik; Erste Berufserfahrung im Finanzbereich von Vorteil; Kenntnisse in SQL oder Python Know-how sind ein Plus; Du strebst das CISA-Diplom (Certified Information Systems Auditor) an; Ausgezeichnete Deutschkenntnisse und sehr gute Englischkenntnisse

Aufgaben: Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group’s work is organised around four emerging technologies (Digital Identities, Machine Learning, Blockchain (DLT), and the Internet-of-Things) and three focus industries (Financial Services, Public Sector, Energy). The group consists of doctoral and post-doctoral researchers from diverse backgrounds, including business, technology, and policy. They are united in pursuit of sustainable technologies that have a positive impact on society
Anforderungen: PhD degree in Information Systems, Business Informatics, Management, Finance, Economics, Social Sciences, Political Sciences, Psychology, or a related field; Proficiency in research methods commonly used in information systems research; Proven track record of publishing research papers in reputable conferences and journals

Aufgaben: Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group’s work is organised around four emerging technologies (Digital Identities, Machine Learning, Blockchain (DLT), and the Internet-of-Things) and three focus industries (Financial Services, Public Sector, Energy). The group consists of doctoral and post-doctoral researchers from diverse backgrounds, including business, technology, and policy
Anforderungen: PhD degree in Information Systems, Business Informatics, Business Engineering, Computer Science, Management, Finance, Applied Mathematics, or a related field; Proficiency in research methods commonly used in information systems research, such as design science research or quantitative methods

Aufgaben: The successful candidate will join the Serval research group by working on the MiCE (FNR-funded) project. The subject of the thesis will be “Mutation-based code embeddings” with supervisor Dr. Mike Papadakis. Successful PhD candidates will extensively explore and develop software engineering techniques that include the feasibility, practicality and success evaluation of prototype implementations
Anforderungen: Bachelor in Computer Science or related; Master on a subject related to Informatics, or Software Engineering, or Computer Science, or Information Technology; Strong background in software testing and Artificial Intelligence (e.g., Meta-heuristics, Machine Learning & NLP)

Aufgaben: Develop Solutions for AI systems and embedded aerospace/avionics systems and subsystems; Work on 2nd and 3rd Gen AI systems (Cognitive & Neuromorphic AI); Develop Solutions for neuromorphic systems and or Drones (UAS/UAV) AI/ML sensor fusion; Develop AI/ML Solutions for Aircraft systems and sensor fusion; Perform Data Science, analysis duties, design/make devices; May also support non-AI programs; Drive the team to meet budgets and schedules; May support Business Development activities
Anforderungen: Requires a Masters in Computer Engineering, Electrical, AI, or equivalent with directly related experience; A PhD in a related field is preferred; 8+ years related industry experience; Experience writing C/C++ code; It is preferred that at least 5 of these years are in creating/maintaining/teaching and deploying Commercial, Medical, or DoD AI; Shown industry development and deployment of AI experience. Experience may be in other industry fields (DoD, Medical, Commercial, etc); Experience with second/third generation AI, ML, Deep Learning, and signal processing/sensor fusion is preferred; Experience leading others to meet schedules

Aufgaben: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale
Anforderungen: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL

Aufgaben: Communicate effectively with internal team, external clients, and industry partners; Design, build, debug and implement robotic and automation solutions utilizing mechanical, electrical, and software skills; Coordinate individual performance goals and objectives set by the organization; Assist in preparing proposals and cost estimates; Interact with customers to promote new business and develop technical requirements
Anforderungen: Requires a PhD in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or similar engineering degree; Must, at a minimum, have robotics experience in the form of projects, previous employment, or coursework; Demonstrated project work using C++ or python is beneficial; A valid/clear driver's license is required