Pensum: 60-100%
Aufgaben: Du betreust und entwicklest Modelle zur Quantifizierung von Nicht-Leben-Risiken für Solvency II und den Schweizer Solvenztest; Du erarbeitest und bewertest das Risikoprofil zur Festlegung des Risikoappetits der Sachversicherungsgesellschaften inklusive Überwachung und Steuerung von Risikokonzentrationen und -kumulen; Du unterstütztst das Underwriting, die Rückversicherungsabteilung und die Produktentwicklung mit dem Ziel, nachhaltiges und profitables Wachstum im Rahmen des Risikoappetits zu erzielen; Du erstellst Reportings als Basis für die Kommunikation mit den Fachabteilungen, dem Management der Allianz Suisse inklusive Geschäftsleitung und Verwaltungsrat sowie mit der Aufsicht (FINMA); Du entwickelst Prozesse, Datenbanken und Systeme im Risikobereich weiter unter Einsatz von modernsten Technologien
Anforderungen: Hochschulabschluss mit quantitativem Hintergrund wie Mathematik oder Physik, aber auch mit quantitativer Ausrichtung in anderen Studiengängen; Mindestens drei Jahre Berufserfahrung in Bereichen der Sachversicherung (Risikomanagement, Aktuariat, Produktentwicklung, Underwriting oder vergleichbaren Bereichen); Sehr gute analytische und konzeptionelle Fähigkeiten; Teamplayer mit sehr guten kommunikativen Fähigkeiten in Deutsch und Englisch

Aufgaben: The successful candidate will enhance the ICON-RedSeaClimate project’s zooming capabilities in coupled atmosphere-ocean configurations for extracting regional information. She/he will utilize these capabilities to carry out cutting-edge experiments at high resolution and analyze data to improve our understanding of the role of mixed layer turbulence in shaping the climate of the Arabian Peninsula. The candidate is also expected to represent the project in national and international collaborations
Anforderungen: PhD degree in oceanography, meteorology, physics, mathematics, or other related fields; In-depth knowledge of numerical ocean modelling and computational climate science; Experience in supercomputer simulations of state-of-the-art circulation models; Proficiency in Fortran, UNIX/Linux, Python, parallel programming, visualization, and evaluation of simulation data; Demonstrated experience in executing research projects and publishing results; Good communication skills, ability to work autonomously and self-responsible

Aufgaben: Carry out novel research works in some of the following domains; 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; Advanced multi-antenna technologies for B5G/6G wireless networks; Massive MIMO, cell-free massive MIMO, beam space massive MIMO, active antennas, smart antennas, precoding, hybrid analog-digital beamforming and 3D beamforming
Anforderungen: A PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and Computer Engineering; Should have published at least 3 journal papers in top 10% international journals of the field, and/or should have strong experimentation background and experience of working in industries or university laboratories; Sound publication track-record on one or some of the following areas: wireless communications technologies, signal processing for communications, machine/deep learning, UAVs, MTC/IoT communication techniques/protocols, Terahertz communications, and Quantum communications

Aufgaben: Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings; disseminating results at international scientific conferences/workshops and peer reviewed scientific publications
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 formal methods applied to software engineering, such as, propositional/temporal logic, sat solving, model checking, etc; Strong analytical skills; Industry experience in information and communication technology will be considered as an advantage

Aufgaben: Hervorragende persönliche Entwicklungsmöglichkeiten durch umfassende Weiterbildung und abwechslungsreiche, herausfordernde Projektaufgaben, z. B.: Strukturierung und Management komplexer Projektvorhaben; Analytisch anspruchsvolle Geschäftsprozessmodellierung und -optimierung; Konzeption von Steuerungssystemen mit statistischen, finanzmathematischen und KI-Methoden
Anforderungen: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik

Aufgaben: Der Schweizerische Nationalfonds (SNF) fördert herausragende Forschung an den Hochschulen; von der Physik über die Medizin bis zur Soziologie. Tausende von Teams schaffen Wissen für eine bessere Zukunft aller Menschen. Gemeinsam mit Partnern gestalten wir den Forschungsplatz Schweiz
Anforderungen: Initiativbewerbung am Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung

Aufgaben: Libera is a leading Swiss consulting firm for benefit institutions and companies in Switzerland. Since 1963 we have been advising our clients on occupational benefits, while supporting them with outsourcing services and in all matters of international accounting. We have two locations in Basel and Zurich and employ around 80 people
Anforderungen: We crawl all higher jobs at Libera 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: Assist in identifying areas of the systems requiring modification to support new product designs and functionality; Coordinate tasks associated with creating and modifying life and annuity product plans on administration, new business, illustrations, and other systems; With oversight, read/review product pricing requirements, elicit necessary information by seeking answers from appropriate business partners. Write business requirements for needed modifications to systems, if applicable; Modify and create test tools to validate product rates and values on impacted systems, following established protocols and standards
Anforderungen: Bachelor’s degree; mathematics, finance, computer science or related degree preferred; Experience 3-5 years in systems or systems support role in financial services industry; Experience with a wide range of life insurance and annuity products with a demonstrated understanding of product mechanics and calculations, including development of UL, indexed UL, and/or whole life cash value and death benefit calculations, definition of life insurance and modified endowment calculations, interest theory, and other related actuarial product benefit calculations

Aufgaben: Provide Statistical leadership to late-stage oncology clinical trials: developing trial design options and providing high quality decision support; Statistical lead for a specific oncology molecule/indication in Health Authority interactions and maintain an accountability thread to TA head; Works collaboratively with Statistical Programmers, Biostatisticians, Clinical Research Associates, Clinical Data Managers and other Clinical, Global Drug Safety, Regulatory and Project Management staff to meet project deliverables and timelines for statistical data analysis and reporting
Anforderungen: 12 years + (Bachelors); 10+ years (Masters); 8+ years (PhD); 4+ years (MD) of statistical analysis experience in the pharmaceutical or biotechnology industry (or at a CRO); Industry experience in the statistical analysis of biomedical data using statistical software; Extensive hands-on experience in oncology drug development including design and analysis of phase 3 oncology trials and active participation in NDA/BLA filing through label negotiation

Aufgaben: Perform tasks under the guidance of project lead or CMS departmental principals on analytic design and statistical analytic planning, coordinate real world database management, and data warehouse construction or maintenance. Develop documentations of analytic plans, prepare for statistical concept communications and be able to advise on analytic strategies and recommend methodological solutions on complex analytic topics. Lead and perform statistical analyses, modeling, reporting, analytic interpretations, and slide development. Develop SAS macro libraries to standardize disease identification, cohort constructions, mapping of healthcare resource utilization and expenditures to standard metrics for product value propositions
Anforderungen: Biostatistician; 6-9 years of experience

Aufgaben: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns
Anforderungen: Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills; Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development; Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems

Aufgaben: Leveraging Python and TensorFlow/PyTorch in the backend, the AI & Machine Learning Software Engineer; Develop new AI models, build APIs for web services; Mentor the team on deploying containerized AI services to Azure Kubernetes Service (AKS)
Anforderungen: Working closely with a CTO who has over 10 years of software leadership experience, and a team of 10 other brilliantly minded AI & Machine Learning Software Engineers, you will be a pioneer in the ongoing development and support of their software

Aufgaben: As a Principal Scientist/Machine Learning Engineer you will be able to drive the future direction of new initiatives and push the boundaries on what the world thinks is possible by leveraging the latest advancements in ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the Relevancy org and will be responsible for driving machine learning solutions from research to production
Anforderungen: 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

Aufgaben: Seeking an experienced research and engineering professional to lead research and development of new deep learning algorithms for speech recognition and language understanding to join our technology team. Members of the technology team work collaboratively as a group and with colleagues in engineering and product to devise and deploy new algorithms for speech recognition, speaker separation, diarization, and speaker identification
Anforderungen: PhD in relevant discipline is highly desirable, but others with equivalent experience are encouraged to apply; Academic specialization or extensive experience in working on solving problems in speech recognition and NLP

Aufgaben: Prepare and analyze complex data for use in actuarial experience studies, valuation, or pricing projects; Provide significant support for development of pricing and underwriting tools; Develop reserve factors, analyze reserves and monitor reserve changes; Develop experience analysis reviews; Support maintenance of valuation system; Support preparation of financial reports and tax returns
Anforderungen: Bachelors Degree required; Credit for at least four exams; A minimum of 12 months hands-on experience and in-depth knowledge of business analysis, pricing, valuation, ALM or corporate experience

Aufgaben: Build ML models that push state-of-the-art either using Netflix’s unique multimodal dataset or algorithmic innovations or both; Design and implement state-of-the-art machine learning models for visual, audio and textual data to enhance content understanding and improve content production and promotion processes; Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities; Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions
Anforderungen: You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures; Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision; Strong programming skills in Python and experience with ML/DL frameworks such as Tensorflow, Keras or PyTorch

Aufgaben: Work on extending single cell analysis pipelines to include QC and analysis of TCR-seq, CITE-seq, and LIBRA-seq data types; Work on benchmarking the best methods for integration of single cell RNA-seq datasets from different sources; Work with the IT teams to establish and maintain an automated workflow for data acquisition and processing in a cloud-based environment; Develop analytics pipelines for different types of high-dimensional data, including but not limited to data from next generation sequencing, flow cytometry, mass spectrometry, ELISA, Luminex, or imaging
Anforderungen: Currently enrolled in an advanced degree program in computational biology, bioinformatics, statistics, computer science, or bioengineering; Currently enrolled or recently graduating from a PhD program is a plus; Good coding experience in Python is required, experience with R also beneficial; Experience in cloud-based computing environment and data science development platforms, such as GitLab, Jupyter, R shiny, Anaconda, and Docker container, is needed

Aufgaben: Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams; Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling; Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets; Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses
Anforderungen: An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying; Extensive database architecture experience (e.g. SQL, MySQL, etc); Extensive programming experience and intimate knowledge of programming languages for statistical analysis; Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets

Aufgaben: 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
Anforderungen: 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

Aufgaben: Devise, implement and lead research projects focused on identifying and characterizing molecular networks underlying human traits using data from human biobanks and other sources; Use statistical associations, causal inference methods and biological knowledge to generate hypotheses and design experiments to test them; Work in close collaboration with an interdisciplinary group of experimental scientists, computational biologists and statisticians
Anforderungen: A PhD degree in biology, genetics, computer science, statistics or related fields 5+ years of experience in statistical genetics and/or epidemiology (including PhD). Post-graduate experience (post-doc or industry) is a plus Strong coding skills in Python and/or R

Aufgaben: Support Ginkgo’s Biosecurity Teams with your technical expertise in bioinformatics; Support data management across biosecurity programs; Support pipeline development & improvement for biosecurity, biosurveillance, and new sequence based tools; Support retrieving, parsing, and processing structured and unstructured data; Assist in management of data pipelines across various stages of the lifecycle from exploration to production including logging and monitoring issues & bugs
Anforderungen: BS + minimum 2 years relevant experience, OR Master’s degree in related discipline; Proficient in at least one software programming language (Python); Proficient in workflow management software (Nextflow, Docker); Proficient in distributed computing (AWS/Google Cloud)

Aufgaben: Operate in collaboration with study personnel to provide input on study protocol, design studies and write protocols for the conduct of each study; Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created; Collaborate with data sciences in the planning and implementation of data quality assurance plans
Anforderungen: Ph.D., or equivalent or, M.S. with experience, Statistics, Biostatistics, or equivalent of field study; Proficient in statistical programming languages/software such as SAS, R, Spotfire, WinBUG, etc

Aufgaben: Develop and price annuity products in AXIS; Maintain pricing model for routine rate setting; Implement new products, assumptions, and features; Sensitivity testing, risk analysis, and product feature evaluation; Work closely with cross functional areas: Actuarial, finance, distribution, strategy, compliance, technology, investments, data science
Anforderungen: Minimum of 3 years of actuarial experience; Experience with annuity products

Aufgaben: Integrate robotic hardware and software systems by creating, augmenting, or developing new APIs; Plan and execute proof of concepts and demonstrations for internal and external consumption; Create predictable behaviors for human-robot and robot interactions; Write and execute test procedures for performance evaluation; Document and share knowledge and refine designs based on input from the team
Anforderungen: BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or similar field; 3+ years of commercial experience working with C++ or other object-oriented languages; 3 + years experience with API development, hardware and software integration; Knowledgeable regarding robotics systems architecture and mobile robotics; Demonstrable experience with robotics integration, driver development, and bring up with Robot Operating System (ROS). 

Aufgaben: As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc
Anforderungen: Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience; 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring; 5+ years of industry experience in software engineering roles and development experience in Python, SQL, Go, and/or other programming languages