Duties: Since 1987, Generali Switzerland has been a trustworthy lifetime partner for our customers. We have more around one million customers and offer products for every situation in life. These include property insurance, legal expenses insurance, life insurance and pension solutions. In founding the House of Insurtech Switzerland (HITS), Generali Switzerland is focusing on corp-ups to scale up the integration of knowledge. HITS partners with corporations and start-ups to develop innovative solutions
Requirements: Generali posts regulary jobs at our sites. 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"

Duration: 6 y
Duties: Forschung im Bereich der Angewandten Mathematik mit Schwerpunkt Analysis, Numerik und algorithmischer Lösung von Aufgabenstellungen in der mathematischen Bildverarbeitung, den Inversen Problemen und den Datenwissenschaften; Mitarbeit in interdisziplinären Kooperationsprojekten und FWF/EU-geförderten Drittmittelprojekten; Selbstständige Durchführung von Lehrveranstaltungen im Bereich der Angewandten Mathematik, Betreuung von Studierenden und Abhaltung von Prüfungen; Mitwirkung bei Organisations- und Verwaltungsaufgaben
Requirements: Abgeschlossenes Doktoratsstudium einer mathematischen Studienrichtung; Fundierte Kenntnisse in einem der folgenden Bereiche: Mathematische Methoden, Analysis und Numerik in der Bildverarbeitung, den Inversen Problemen oder den Datenwissenschaften; Fähigkeit zur Integration in das Forschungsprofil am Institut und insbesondere in interdisziplinäre Kooperationsprojekte; Team-, Organisations- und Kommunikationsfähigkeit; Sehr gute Englischkenntnisse; Fähigkeit zur Lehre in deutscher Sprache (nach einer Übergangsfrist von 2 Jahren)

Duration: 6 y
Duties: Research in the field of applied mathematics with emphasis on the analysis and the numerics of problems in mathematical imaging, inverse problems and data sciences; Collaboration in interdisciplinary cooperation projects and third-party funded projects; Independent teaching of courses in the field of applied mathematics, supervision of students and holding of examinations; Participation in organizational and administrative matters
Requirements: Doctoral degree in a mathematical branch of study; Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences; Ability for integration into the department’s research profile and in particular into interdisciplinary cooperation projects; Capacity for teamwork, organizational talent and ability to communicate; Very good command of english; Ability to teach in German (after a transition period of 2 years)

Duties: Collaborate with wet lab scientist on experimental design and analysis to develop and optimize new analytic approaches using NGS technologies; Collaborate with organism engineers to plan projects, write proposals and design impactful experiments; Analyze and interpret sequencing data from multiple NGS technologies to support project success across Ginkgo; Interface with software engineers to create and implement NGS data analysis pipelines for production use; Develop, run and monitor production code for data analysis pipelines deployed to cloud-based batch/distributed processing platforms
Requirements: Bachelor’s with 4+ years of relevant experience, Master’s with 2+ years of relevant experience or PhD in a relevant field such as genetics, genomics, computational biology; Demonstrated strong skills in computational biology as evidenced by proficiency in analyzing NGS datasets (e.g., transcriptomics) with existing tools or custom pipelines/methods; Experience with many or all of the following: Python, R, Bash/Unix scripting, common bioinformatics tools (samtools, bwa, RNAseq specific tools), workflow management systems (snakemake, nextflow), relational databases (SQL), GraphQL, Tableau, cloud computing platforms and tools (AWS/Google Cloud), Docker, software version control (git), CI/CD

Duties: Develop and implement machine learning algorithms to solve business problems; Design and implement scalable data processing and machine learning pipelines; Evaluate and improve the performance of machine learning models; Communicate technical concepts and ideas to both technical and non-technical stakeholders; Sharing your knowledge by giving brown bag sessions, tech talks, and evangelising appropriate tech and engineering best practices
Requirements: PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science; 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring. Industry experience in ecommerce, recommender systems, digital marketing or two-sided marketplaces is a plus

Duties: As a Machine Learning Engineer, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge, technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations. You will guide the direction of a MLOPS automation framework via collaboration with the engineering and research communities
Requirements: 3+ years of non-internship professional software development experience; 3+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production

Duties: Our researchers have a challenge: disproving the efficient market hypothesis every day. This requires them to harness massive compute power and to use state-of-the-art ML techniques; published in recent conferences or developed entirely in-house; as textbook methods won’t beat the competition. ML is integral to develop successful investment management strategies; it is one of the core drivers of our overall performance and success. It has long been a key tool at G-Research and we count a range of ICML and NeurIPS published researchers among our people
Requirements: Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle; Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference; Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need to understand how to develop your own models

Duties: As a Senior Data Scientist, you will take the lead on a product deliverable, from inception and prototyping through deployment with clients. You’ll need to be able to develop good intuitions about what analysis will be meaningful to clients, be able to understand the wide variety of algorithmic components you have to work with and how they can be put to best use, and know how to write robust code. You’ll be constantly learning, constantly teaching, and always be ready to engage in the careful details as well the big picture of what the data is revealing about the world
Requirements: Strong programming skills, including in Python, with at least 3 years experience in a production engineering team; Masters/Ph.D. in a quantitative field or at least 5 years building analytical/data driven products in an industry setting; Skills in data exploration, visualization, and cleaning; Experience applying machine learning algorithms to real data sets, preferably including text analysis and NLP; Experience in using one or more of the following: NumPy, SciPy, Matplotlib, Scikit-Learn, NLTK, SpaCy, TensorFlow, Keras

Duties: As a Senior Machine Learning/Artificial Intelligence (ML/AI) Engineer on Ginkgo’s Biosecurity Team, you will leverage Ginkgo’s wealth of proprietary sequence and experimental data to design, train, and experimentally validate novel foundation and application-specific (e.g. fine-tuned) AI models for application to classification and design of genes, regulatory elements, multi-gene pathways, and even genomes. In addition, you will collaborate with experts throughout the organization to identify transformational opportunities for application of AI in genetic design and engineering, bioinformatics, and prediction/forecasting using a diverse array of multimodal data
Requirements: PhD graduate with 1+ years of relevant post-academic experience in applying AI/ML (or BS 7+year OR MS 5+ years of professional experience); Hands-on, proven experience in developing deep neural networks. Deep knowledge of currently available AI model architectures and data schemes. Perspective on advantages and drawbacks of various approaches. Direct experience applying AI/ML to problems in modeling of RNA or DNA preferred; Subject matter expertise in genetics, genomics, transcription, translation, or RNA biology

Duties: Collaborate with product managers to translate business and product requirements into AI projects; Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services; Coordinate with global teams to drive projects from research to production; Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning; Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices; Lead and mentor both junior and senior machine learning engineers
Requirements: PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR; Demonstrated experience in designing and implementing scalable AI models for production; Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers

Duties: Apply modeling and machine learning techniques to business problems at the intersection of product and data science; Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation; Proactively perform data exploration on engagement behaviors to discover future opportunities; Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale; Deliver well-documented datasets, tools, and reports to key technical and business partners
Requirements: Experience building and leading hybrid Data Science and MLE teams in the Ads space; Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations

Duties: This position will focus on the application of machine learning to develop computationally efficient emulators of high-resolution state-of-the art regional climate models. The goal of the emulators is to learn the relationship between large-scale predictions made by coarse resolution dynamical models and local surface variables of interest (such as near surface temperature, precipitation, wind speeds). This is accomplished by training the emulators to mimic the results of computationally expensive high-resolution regional climate models. The result is a suite of computationally lightweight algorithms capable of generating large ensembles that can translate coarse resolution operational climate predictions or projections into robust and reliable regional and local information
Requirements: Applicants must hold a master's degree or equivalent education in atmospheric sciences, statistics, computer science, applied mathematics or related disciplines; Experience in atmospheric physics, climate dynamics, and statistical modelling is required; Experience with scientific programming using Python, R, Matlab, Julia, C/C++ or similar is required; Experience with machine learning is an advantage

Duties: The Department of Mathematical Sciences at the University of the Virgin Islands (UVI) seeks to hire a full-time, tenure track professor at the Assistant level. We seek faculty who will inspire and mentor students at all levels while ensuring high academic standards in a nurturing and learner-centered environment in keeping with our HBCU status. The successful applicant will teach a wide range of undergraduate courses in Mathematics from foundations courses for those students who might not be ready for college level work
Requirements: PhD in any area of Mathematics, Mathematics Education, or a related field completed by August 2024

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: 80-100%
Duties: Analyse and design automation solutions to improve development and release processes; Build and implement Linux based infrastructure/build pipelines to deploy Linux based applications; Configure and automate deployment of cloud environments using an infrastructure as code approach; Implement enterprise scale technology solutions featuring containerisation, event streaming, Low code and data ETL technologies; Ensure that systems are safe and secure against cybersecurity threats; Implement automated quality assurance processes; Work with software developers and software engineers to ensure that development follows established processes and deployments are successful and stable; Undertake system troubleshooting and issue investigation
Requirements: Must have: One to four years professional experience; Strong ethical behaviors and high integrity, which align with KPMG's vision and aspirations; Good knowledge of SQL, PowerBI and database concepts; Good knowledge of Git workflows; Willingness to learn and independent working style; Fluency in English; Nice to have: Experience in Linux operating system; Experience of Microsoft Azure

Department: Biozentrum - Center for Molecular Life Sciences
Duties: The Biozentrum of the University of Basel is one of the leading life sciences institutes in the world. Its fundamental research embraces a wide range of topics such as biochemistry, biophysics, physics of living systems, structural biology, microbiology, infection biology and immunology, cell and developmental biology, neurobiology, genetics as well as computational and systems biology
Requirements: We are looking for ambitious and highly motivated young talents from all over the world to join the Biozentrum Basel International PhD Program and our scientific community

Duties: Bando di selezione n. 21/2023 per il conferimento di n. 1 assegno, tipo A, per lo svolgimento di attività di ricerca
Requirements: Progetto dal titolo "Trasporto Ottimo: nuove sfide tra analisi e geometria/Optimal Transport: new challenges across analysis and geometry"

Duration: 2 y       
Workload: 100%
Duties: The positions are funded by the SNSF Starting grant "Multiresolution methods for unstructured data": Rapidly increasing unstructured data is omnipresent in our everyday lives. Typical examples are data from social networks, text and audio data, photos, and videos, but also scientific measurements and simulation data. Efficient processing and analysis of these data have become vital for our society. In "Multiresolution methods for unstructured data", we develop novel and fully discrete data-centric multiresolution approaches tailored to unstructured data, focusing on efficient algorithms for computational uncertainty quantification and adaptive strategies for active learning and non-smooth data
Requirements: PhD in (applied) Mathematics, with a research focus on approximation theory, harmonic analysis, or similar; Programming knowledge in C/C++ or similar; Fluent in English, Italian is a plus

Duties: Carry out research in the field of digital identity wallets, such as: Critical evaluations of technical design choices for digital identity wallets, emerging standards (e.g., OIDC4VC/VP) and their compatibility with existing standards; Economic implications of digital identity wallets and incentives for stakeholders to adopt them; Legal compliance of digital identity wallet designs with the multi-layered regulatory framework (e.g., eIDAS, GDPR, SDGR); Provide guidance to PhD students; Disseminate results through scientific publications; Prepare research proposals to attract industry partnerships as well as national and European grant projects 
Requirements: PhD degree in Information Systems Engineering, Management Information Systems, Technology & Law, Computer Science, Software Engineering, or a related field; Experience with interdisciplinary, multidisciplinary, or transdisciplinary research projects and related research methods (e.g., design science research); Experience in publishing high-quality research, as demonstrated by research under review or published in 1st quartile conferences and journals (according to Scopus)

Duties: Contribution to the system analysis and design of future infrastructure expansions (hardware & software); Contribution to development, and automation of provisioning and configuration management of a Linux-based infrastructure, including but not limited to HPC clusters, parallel storage systems and heterogeneous network equipments; Deployment of new systems according to best security practices and creation of the associated documentation; Participation in the daily operations, monitoring the HPC clusters, response to incidents in a coordinated manner
Requirements: Bachelor and/or Master in Computer Science, or equivalent degree, ideally with a specialty in systems, networks and applications administrations; Expert knowledge in GNU/Linux system administration (Red Hat and derivatives); Good knowledge in at least one scripting language (Bash, Python, Ruby), in Version Control Systems (Git) and in virtualization and containers technologies; Solid understanding of networked computing environment (Ethernet, Infiniband); System administration “best practices” are part of all actions

Duties: Investigation, simulation, and prototyping of models for the design of antennas for micro and millimeter-wave applications; Investigating, analyzing, designing, and prototyping phased array antennas for micro and millimeter-wave applications; Investigating using different additive manufacturing techniques for antenna prototyping; Investigating efficient artificial intelligence (AI)-based solutions to tackle the main challenges in phase arrays design for millimeter-wave applications; Disseminating results through scientific publications and conferences
Requirements: A Ph.D. in Telecommunication Engineering or Electrical Engineering focused on antenna design and their implementation using additive manufacturing techniques. The topic of antennas and metasurface design for satellite systems is desired but not mandatory; International postdoc experience is desirable

Workload: 100%
Duties: Die Verwaltung und Weiterentwicklung webbasierter Klinik-/Forschungsanwendungen; Die Entwicklung von Benutzeroberflächen und Kommunikationsprotokollen zwischen Geräten (VR, medizinische Bildgebung) und Bewegungserfassung; Die Entwicklung von Anwendungen, die die virtuelle Realität nutzen; Die Entwicklung von Auswertungsalgorithmen; Kommunikation und Zusammenarbeit mit verschiedenen klinischen Abteilungen und internationalen Forschungsteams
Requirements: MSc oder PhD in einem relevanten Bereich (z. B. Software-Engineering, Informatik, Informatik, Biomedizintechnik); Nachgewiesene Erfahrung mit SQL, C/C++, Python und Webentwicklung; Erfahrung in der Datenverwaltung und -analyse, gute IT-Kenntnisse und Erfahrung mit der Entwicklung von Forschungssoftware; Etwas Erfahrung mit Motion Capture und Unity wäre wünschenswert

Workload: 50%
Duties: Sicherstellung der Betreuung, des Betriebs und die Weiterentwicklung des Klinikinformationssystems KISIM von Cistec; Enge Zusammenarbeit mit den Fachabteilungen sowie aktive Mitarbeit an Projekten im Umfeld Healthcare Applikationen; Spezifikation der technischen Anforderungen in Zusammenarbeit mit den medizinischen Fachbereichen und Mitarbeit bei der Umsetzung; Planung und Implementierung von Change Requests und Releases; 2nd Level Support und Koordination mit den Lieferanten im 3rd Level Support
Requirements: Sie verfügen über einen Hochschulabschluss im Bereich Informatik, Medizininformatik oder über eine vergleichbare Ausbildung mit Schwerpunkt Informatik sowie über eine hohe Affinität zum klinischem Behandlungsumfeld; Vorbildung im Gesundheitswesen von Vorteil; Vorkenntnisse im Bereich Klinikinformationssysteme (insbesondere KISIM) von Vorteil; Grundkenntnisse im Bereich Schnittstellen für medizinische Daten (HL7, FHIR) von Vorteil

Duties: Develop predictive models (CV and/or NLP) trained on large-scale datasets to address various business problems with sophisticated machine learning techniques; Develop and implement scalable and efficient ML models that can work with large-scale data in production systems running on mobile devices with limited memory and compute; Collaborate with product management and engineering groups to develop new products and features
Requirements: Currently enrolled full time and pursuing a PhD or MS degree in in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required; Deep understanding of machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods; Proficient in one or more programming languages such as Python, Java, Objective C or C++

Duties: Franklin & Marshall College invites applications for a one-year visiting assistant professor/instructor position in the Department of Mathematics beginning August 2024. The teaching specialty is open, but preference will be given to candidates with experience teaching calculus, and the potential to teach probability and statistics courses in our curriculum. The rank will be Visiting Assistant Professor or Visiting Instructor, depending on qualifications. Appointment is for nine months per year (mid August - mid May). This position is not eligible for employment visa sponsorship. Applicants should possess or be close to completing a doctorate in Mathematics, Applied Mathematics, Statistics, or a related discipline
Requirements: Applicants should possess or be close to completing a doctorate in Mathematics, Applied Mathematics, Statistics, or a related discipline