Duties: 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
Requirements: 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

Workload: 60-100%
Duties: Lehre: Lehrtätigkeit in Grundlagenmodulen der Informatik und in Vertiefungsmodulen im Bereich Information Security auf Bachelor- und Masterstufe sowie in der Weiterbildung (CAS/MAS). Betreuung von Studierenden in Projekt-, Bachelor- und Masterarbeiten. Weiterentwicklung der Unterrichtsmodule und Aufbau neuer Unterrichtsmodule sowohl im Bachelor- und Masterstudium als auch in der Weiterbildung; Forschung & Entwicklung: Aufbau und Verfolgung eigenständiger Forschungstätigkeit im Bereich Information Security durch Akquisition, Planung und Leitung von F&E-Projekten (Innosuisse, EU, SNF, etc.) in Zusammenarbeit mit Wirtschaftspartnern. Publizieren von Projektergebnissen in Fachzeitschriften und an Konferenzen; Collaboration: Mitgestaltung bei der strategischen Weiterentwicklung und Vernetzung der Forschungsgruppe Information Security
Requirements: Sie sind eine ausgewiesene Fachperson auf dem Gebiet Information Security und verfügen über ein abgeschlossenes Hochschulstudium mit Promotion in Informatik oder einem verwandten Gebiet; Dank einigen Jahren Berufserfahrung in der Wirtschaft verfügen Sie über ein entsprechendes Netzwerk in der Schweiz und allenfalls auch in Europa; Erfahrung in der Akquise und der Umsetzung von F&E-Projekten (national und international) und in der Lehre/Didaktik sind von Vorteil; Dank Ihrer hohen Selbstmotivation, Ihrem Gestaltungswillen, Ihrer Begeisterungsfähigkeit und der Freude an anspruchsvollen, aktuellen Fragestellungen prägen Sie die Zukunft der Forschungsgruppe Information Security. Sie kommunizieren in Deutsch und Englisch und zeichnen sich durch Ihre kunden- und ergebnisorientierte Arbeitsweise aus

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Department: Advisory
Workload: 100%
Duties: You will work with our clients on their supply chain operations processes, evaluate the best use of SAP solutions and advise them on design and implementation of best-in-class SAP solutions; You will help our clients to integrate solutions based on the latest technology such as IoT or predictive analytics with their S4 HANA solution; You will have the opportunity to take on responsibility for managing projects and project work streams in challenging and fast paced SAP transformation programs; You will contribute to the development of our world-class SAP consulting team
Requirements: You have a degree (bachelor/master/diploma) preferred in business, IT, engineering, business information systems or a digital discipline; You have more than 7 years of experience in process consulting and implementation of SAP solutions; You bring relevant experience in SAP supply chain and logistics modules and a profound understanding of the related business processes

Department: Assurance
Workload: 100%
Duties: A career within Risk Assurance Compliance and Analytics services, will provide you with the opportunity to assist clients in developing analytics and technology solutions that help them detect, monitor, and predict risk. Using advanced technology, we’re able to focus on establishing the right controls, processes and structures for our clients to ensure that decisions are based on accurate information and assure that information provided to third parties is accurate, complete, and can be trusted
Requirements: As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution

Duties: umfassende Beratung und Betreuung der Abteilungen bei der Analyse und Optimierung der Geschäftsprozesse im Rahmen von Projekten mit IT-/SAP-Bezug; Dokumentation von Anforderungen und Erarbeitung von Lösungskonzepten; Implementierung, Testung und Rollout von Change Requests und Customizings; Ansprechperson für die Anwenderinnen/Anwender und Key User
Requirements: abgeschlossenes Master-/Magister-/Diplom-Studium mit wirtschaftlichem Schwerpunkt oder Nachweis der entsprechenden Berufserfordernisse; Erfahrung in der Arbeit mit SAP und im Support, sowie erste Erfahrungen im Management von SAP-Projekten; sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift

Workload: 100%
Duties: Deliver high quality solutions to improve processes, operating models and organizational set-up for HR organizations; Assess and benchmark maturity of the HR function; Optimize End-to-End HR processes, such as onboarding, hire-to-retire and talent management; Review current HR IT landscape and propose technological solutions to improve processes and deliver exceptional employee experiences; Set up and optimize Shared Service Center and Outsourcing structures to streamline organizational models; Provide advice on role and qualifications profiles for the future business partners and experts in HR; Collaborate with KPMG experts on cross-functional projects to broaden the value proposition to your clients; Support proposals for the acquisition of new engagements and contribute to marketing initiatives and publications to strengthen our visibility and credibility in the market
Requirements: Master's degree in Business Administration, Management, Human Resources or similar; Experience in Transformation, HR, organizational design or in a comparable environment is preferred; Knowledge of HCM system functionalities (SAP, Workday, etc.) is a plus; Strong capabilities in MS Office applications (Excel, PowerPoint); Full professional proficiency in German and English, French is a plus; You are a team player and have very good communication and analytical skills

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: 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
Requirements: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik

Duties: 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
Requirements: Initiativbewerbung am Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung

Duties: 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
Requirements: 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"

Duties: 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
Requirements: 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

Duties: 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)
Requirements: 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

Duties: 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
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: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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)

Duties: 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
Requirements: 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). 

Duties: 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
Requirements: 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

Duties: Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning; Evaluate and benchmark AI models including LLMs, perform inference testing, optimise models and monitor model performance in production; Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services; Contribute to the architecture of generative AI, including data, model, training, and evaluation, employing best practices; Develop production code and advocate for the best coding and engineering practices
Requirements: 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; Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts