Duties: Data Analysis and Research: analyzing a large dataset with queries and scripts, extracting valuable signals from noise, and producing actionable insights into how we could complete and improve Moloco’s complex ML and bidding system; Simulation and Modeling: validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling; Experimentation and Causal Inference: developing a robust experiment design and metric framework and providing reliable and unbiased insights for product and business decision-making
Requirements: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering); 3+ years of work experience in data science-related fields or an advanced degree such as a Master’s or Ph.D. in a quantitative discipline with 2+ years of experience; Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation

Duties: The Data Scientist is responsible for the development, validation, and continuous improvement of models that accurately characterize the performance of First Solar photovoltaic products and systems. He/she will achieve results through leadership of cross-functional teams to identify research needs, develop and execute analysis and test plans, and ensure quality of data collection, analysis and reporting
Requirements: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field; Proficient with programming languages (Python, Matlab, R, or similar), relational databases (SQL server), data analysis and visualization software's (preferably jmp, Tableau, SAS)

Duties: Conduct innovative research & development in audio including speech, music, and sound design (SFX) Generative AI; Collaborate with extraordinary researchers to bring research ideas to production; Develop and transfer novel technologies to Adobe products; Research and develop novel large-scale foundation models in Generative AI; Ability to convert a research idea/paper to code in Python
Requirements: Masters or Ph.D. in Computer Science, AI/ML or related fields; Excellent communication skills and a great teammate; Experience in state-of-the-art Generative AI technologies, such as GANs, diffusion, and/or language models; Audio, music, speech, sound design, and/or video signal processing expertise; Experience with large-scale generative model training, datasets, and infrastructure

Duties: You will be part of a flexible high-performance team that can adapt to world events and provide AI, ML, and other analytic capabilities to support the development of new architectures as well as previously deployed systems
Requirements: Demonstrated experience creating AI and ML models and natural language processing (NLP) models; Demonstrated experience building statistical models and performing predictive analytics

Duties: Manifold learning is a crucial concept in the fields of machine learning and pattern recognition, because it enables the discovery and representation of underlying structures and patterns in high-dimensional data. In real-world scenarios, datasets often exhibit intricate manifold structures and the pursuit of capturing these complex geometries within the data has proven to be a challenging task for many traditional manifold learning algorithms. While it may not always be possible to fully learn the underlying manifold, it is often possible to learn some characteristics of the manifolds. One such characteristic is the Reeb graph, a topological construct that reflects the change of level sets of a real-valued filter function on a manifold
Requirements: Applicants must hold a Norwegian PhD or an equivalent degree machine learning or a related area; Applicants should have a genuine interest in AI, and the research proposal must be related to artificial intelligence

Duties: The Data Analytics and Information Systems (DAIS) Department in the Jon M. Huntsman School of Business at Utah State University invites applications for a tenure track faculty position at the Assistant Professor level to support and strengthen our programs in marketing analytics, including Bayesian statistical modeling, causal inference, survey research, conjoint, and text analysis
Requirements: PhD in Quantitative Marketing, Statistics, Economics, Data Science, or a related field; Three years or more of research and teaching in marketing analytics; Background and experience in marketing analytics, specifically Bayesian statistical modeling, causal inference, survey research, conjoint, and text analysis; Highly effective communications skills, including listening, writing, and speaking; Demonstration of collegiality among peers and constituents

Duties: Development of superconducting quantum computing systems
Requirements: Candidates should possess or is expected to obtain a doctoral degree by the starting date

Duties: Sie erstellen domänenspezifische Sprachen (DSL) mit JetBrains MPS; Dabei entwickeln Sie Generatoren, welche mathematische Formeln in Java-Code umwandeln; Aus Ihren Ideen erarbeiten Sie Konzepte zur Erweiterung der bestehenden DSLs; Die Entwicklung begleiten Sie vom Build-Prozess bis hin zur Sicherstellung der Qualität durch Entwickler-Tests und die abschliessende Integration des generierten Codes; Sie arbeiten dazu in einem agilen, cross-funktionalen Scrum-Team
Requirements: Sie haben ein Studium der Informatik (oder eine vergleichbare akademische Ausbildung) abgeschlossen oder bereits erste Erfahrungen im Bereich Softwareentwicklung mit Java sammeln können; Idealerweise haben Sie bereits mit JetBrains MPS gearbeitet oder bringen die Bereitschaft für die Einarbeitung in diese Technologie mit; Sie besitzen praktische Erfahrungen in der Software-Entwicklung und haben gute Kenntnisse in Java

Duties: The Vice Chair for Clinical Machine Learning (VC - CML) develops and operationalizes Moffitt’s strategic roadmap for the utilization of Artificial Intelligence/Machine Learning (AI/ML) in clinical settings, including the assessment and prioritization of commercial products and research prototypes of developed machine learning algorithms for oncology (e.g., EHR, radiology, pathology, clinical trials, or radiation oncology). The VC-CML also assists the Chair of Machine Learning with academic leadership activities (e.g., recruitment, mentoring, retention, budgeting, strategic planning)
Requirements: PhD and/or MD with expertise in the application of AI/ML to clinical workflows and processes; Technical AI/ML knowledge and skills ideally obtained through formal training in AI and ML, with demonstrated track record in the field; Experience optimizing clinical workflow and/or implementing clinical decision support tools that leverage AI/ML; documented examples of significant work in this area is preferred; Excellent interpersonal communication skills; ability to build team consensus with diverse groups of stakeholders; leads through positive influence; Experience obtaining NIH-grants funding as an independent PI

Duties: Entwicklung von Prototypen und Proof of Concept‘s; Recherchen zu Best Practice, Architekturen und technischen Fragen; Erstellen von .Net Templates (Projekt- u. Item-Templates); Weiterentwicklung und Redesign interner Bibliotheken (NuGet, npm); Methodische und konzeptionelle Mitarbeit an unseren Softwareentwicklungsprozessen; Evaluation für die Auswahl neuer Technologien; Unterstützung bei Dokumentationen und Präsentationen; Konsolidierung und Aufbereitung von Ergebnissen
Requirements: Studium im Bereich (Wirtschafts-)Informatik oder ähnlichen Fachrichtungen; Wünschenswert sind Erfahrungen in folgenden Bereichen: Event Driven Architecture, .Net, C#/Angular/Typescript, Visual Studio, Azure DevOps, Kafka, Elastic Stack, CI/CD

Duties: Work with a team of engineers, software development staff and technicians to create innovative solutions that include antenna arrays, RF processing hardware, and extensive software processing capabilities including application of machine learning techniques; Work at SwRI laboratories and support short-term travel to government facilities/military bases or other customer facilities for system installations and to provide technical support within and outside the United States; Collaborate with client technical representatives and SwRI senior engineering and software staff; Prepare technical documents and support proposal preparation as required
Requirements: Requires a Bachelors in Electrical Engineering, Electrical and Computer Engineering, or Computer Engineering; Must be familiar with telecommunications and communications signal processing with understanding of radar system concepts, waveforms, and processing desired

Duties: Inform, influence, support, and execute our product decisions through data; Research applied data science questions in our ads system to improve prediction accuracy, develop data-driven go-to-mark strategies, and drive advertiser value; Work closely with engineering and product teams to develop hypotheses, run experiments and prototype new product ideas; Collaborate with data engineering teams to build/maintain reports, dashboards, and metrics to monitor the performance of our products, provide insights and identify new opportunities
Requirements: 5+ years of experience working in an analytics organization, ideally in Tech industry leading companies, especially in the advertising area; Ads or Advertiser or Agency experience; Advanced degree (PhD, MS or BS) in Statistics, Mathematics, Economics, Computer Science or other quantitative fields; Sustained track record of driving business value and improving product with data insights, especially in advertising, growth, marketing or relevant domains; Experience with ML and statistical knowledge, fluency in Python, SQL, Scala or other programming languages

Duties: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Requirements: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems; Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus

Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation
Requirements: Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience; Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data; Experience working within a UNIX/Linux environment; Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL; Excellent communication and team skills and fluency in both spoken and written English

Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation; Analyze data processes in documentation
Requirements: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering; Experience as a research assistant or similar; Experience (including any graduate school) developing tools for data analysis; Proficiency in python and/or R programming languages; Experience with cloud computing environments

Duties: Full-time faculty members teach courses in the Fall and Spring semesters; Summer semester teaching opportunities might be available. The teaching load may range from 12 credit hours for Full Professors to 18-20 credit hours for Lecturers. Classes may be scheduled during the day and evenings. The position holder is expected to teach a broad range of general and skills-based business administration courses at the undergraduate; male faculty members may also request; or be required to; teach courses at the graduate level. Full-time faculty members are also expected to attend faculty meetings and university events, serve on committees, and engage in academic scholarship and professional development activities
Requirements: Ph. D. holders from ACCSB Accredited universities will be preferred; Minimum of two years teaching experience in post-graduation in operations management, quantitative analysis and project management

Duties: Build industry leading recommendation system for customers; Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for performance, improve recommendation models and strategies; Conduct cutting-edge research in machine learning algorithms, and apply the technology to different business scenarios; Work with cross functional teams to grow Enterprise Partnership & Solutions business
Requirements: Bachelor's degree or above majoring in Computer Science, or related fields, with 3+ years of experience building scalable system; Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas

Duties: Apply state-of-the-art machine learning software solutions for various artificial intelligent system applications; Interact with team members to discuss technical solutions to problems; Develop tools and techniques to improve our team's research and development capability; Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems
Requirements: Requires a Bachelors, Masters or a PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field; Training in perception (computer vision/image processing, LIDAR and/or radar) software solutions for various intelligent system applications; C++, python, and ROS experience required

Duties: Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary; Data Analysis: Performs routine analysis for which established tools exist and are considered reliable; Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary; Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically; Manuscript Preparation: Independently edits and drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures; Grant Preparation: Helps to formulate specific aims, explains options for experimental design,...
Requirements: Bachelor's degree required in a STEM field. Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences; Experience with principles of experimental design and the modern data analysis paradigms is required

Workload: 60-80%
Duties: Umsetzung von Digitalisierungsprojekten im Bereich der Hochschullehre; Planen und Führen von Dienstleistungs- und Forschungsprojekten des ZHB-OST; Mitarbeit bei Referaten, Publikationen, Workshop-Gestaltungen etc; Planung, Organisation und Durchführung von Veranstaltungen des ZHB-OST; Mitarbeit im Bereich Stundenplanung; erwünscht: Unterrichtstätigkeit
Requirements: abgeschlossenes Bachelor- oder Masterstudium vorzugsweise in Wirtschaftsinformatik, Informatik oder Wirtschaftsingenieurwesen; verbindliche und selbstständige Arbeitsweise und hohes Mass an Eigenverantwortung; Idealerweise Hochschuldidaktische Qualifikation, Weiterbildungen im Bereich digitale Medien/digitale Lehre; hohes Interesse an und Affinität zu den Themenfeldern Hochschulbildung und Digitale Werkzeuge; Freude an planerischen und organisatorischen Arbeiten

Workload: 100%
Duties: 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
Requirements: 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

Workload: 80-100%
Duties: Mitwirkung bei der Planung, Konzeption und Realisierung der Identity & Trust Technologien und deren Prozesse innerhalb der ZHAW; Anbinden neuer Lösungen aus dem Hochschulumfeld, inkl. Koordination und Evaluation der notwendigen Anpassungen in Absprache mit den betroffenen Parteien; Betrieb und Lifecycle-Management der entsprechenden Identity & Access Management- und Public Key Infrastructure-Applikationen und -Services; wo notwendig zusammen mit externen Lieferanten; Technologieberatung in Identity & Trust-Themen in einer vielfältigen Hochschulumgebung; Unterstützung der Kolleg: innen im Rahmen des 2nd Level Supports bei IAM- und PKI-Themen
Requirements: Abgeschlossene höhere Aus- oder Weiterbildung in Informatik o.ä; Fundierte Kenntnisse moderner Identitäts- und Vertrauenstechnologien (z. B. OpenID, SAML, PKI, MFA, PKI) und gängiger Infrastrukturen (z. B. MIM, Entra ID, AD, LDAP oder ähnliches); Kenntnisse, und idealerweise erste Erfahrungen, mit künftigen Entwicklungen und Trends im Bereich Passwordless-Ansätzen (z. B. SSI, FIDO2 etc); Kenntnisse von Identitätsthemen im Hochschulumfeld in der Schweiz von Vorteil (z. B. edu-ID, ESI, E-ID) und sonstige internationale Normen (z. B. NIST 800-63, 800-57 etc.); Solide Kenntnisse im Bereich Server-Administration und Automation (z. B. Skripting)

Department: Advisory
Workload: 100%
Duties: A career within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage
Requirements: As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution

Duties: Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects; Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale; Implement and improve machine learning training and inference pipelines; Make iterations on the models for improvements; Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models
Requirements: MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study; Solid coding proficiency in Python or C++; ​​- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts; Experience in software architecture, system performance, latency and data flow; Experience in Machine Learning

Duties: Participate in cutting edge research in machine intelligence and machine learning applications; Develop solutions for real world, large scale problems
Requirements: PhD in Computer Science, related technical field or equivalent practical experience; Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)