Duties: Potential research areas include, but are not limited to, data-driven lifecycle assessment for urban systems and management of territorial metabolism, urban water system design, circular economy for urban systems, dynamic urban metabolism, heat islands and CO2 emissions mitigation
Requirements: Candidates are expected to have excellent skills in digital tools and related methodologies, and will contribute ENAC’s interdisciplinary research, e.g., through the CLIMACT centre or the ENAC cluster “Sustainable Territories”

Duration: 3 y
Duties: You will be part of a large team consisting of experts in many areas of inverse problems and scientific computing. Together with the team, you will contribute to the project’s goal by developing theory and computational methods that can handle the challenges we face in developing a versatile platform
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree

Department: Advisory
Workload: 100%
Duties: Du erarbeitest Konzepte bis hin zur Implementierung von IT- und Prozesslösungen im Bereich SAP (SAP Security & Authorizations und/oder SAP GRC); Du hilfst bei der Akquisition von Kunden und Projekten mit - von der Vorbereitung über die Teilnahme am Meeting bis zur effektiven Umsetzung; Du unterstützt uns bei der Weiterentwicklung unserer Dienstleistungen und bringst neue Ideen ein; Du arbeitest in einem diversifizierten Team in einem internationalen Netzwerk und erhältst regelmässig Feedbacks von Kollegen und Vorgesetzten; Du entwickelst dein technisches Know-how und deine Soft Skills laufend durch On-and-off-the-Job-Trainings weiter
Requirements: Du hast einen Universitäts- oder FH-Abschluss und 2-4 Jahre Berufserfahrung in SAP Security & Authorizations und/oder SAP GRC; Du bist interessiert an der Entwicklung von neuen Vorgehensmodellen und Methoden für bestehende und neue technologische Lösungen wie SAP GRC, Fiori for GRC, GRC for HANA oder weiteren SAP Security Themen; Du zeichnest dich durch überdurchschnittliche kommunikative und analytische Fähigkeiten aus und hast Freude an der Lösung von komplexen Aufgabenstellungen und technischen Herausforderungen; Du ergreifst gerne die Initiative, bist zuverlässig und selbständig und überzeugst mit einer exakten und detailorientierten Arbeitsweise; Du hast Freude an team- und kundenorientierten Tätigkeiten und bist motiviert, die Extrameile zu gehen; u verfügst über exzellente Deutsch- und Englischkenntnisse in Wort und Schrift und bringst Reisebereitschaft mit

Workload: 80-100%
Duties: Du bist zuständig für die Erstellung von monatlichen und quartalsweisen Finanzberichten mit SAP Business Objects; Du erstellst Berichte an die Geschäftsleitung sowie an den Verwaltungsrat und erstellst bei Bedarf selbständig Ad-Hoc-Reports; Du unterstützt als Power User deine Teamkollegen in der Anwendung von SAP Business Objects und bist die Schnittstelle zwischen Controlling und IT; Du bist verantwortlich für die Aktualisierung der Datenmodelle und Stammdaten und stellst die Datenqualität sicher; Du aktualisierst und entwickelst das Planungssystem in Koordination mit dem SAP BI-Teams weiter; Du arbeitest an internen IFRS 17 Projekten mit
Requirements: Fachhochschule oder Universitätsabschluss in BWL, Finance oder vergleichbar; Mindestens 5 Jahre Erfahrung in einer ähnlichen Funktion (Financial Controlling oder Aktuariat); Exzellente SAP BO und Excel Kenntnisse; Anwenderkenntnisse SAP FI und SAP BPC von Vorteil; Rasche Auffassungsgabe, proaktive und selbständige Arbeitsweise sowie analytische Denkweise; Stilsicheres Deutsch- sowie gute Englischkenntnisse

Workload: 60-100%
Duties: Eine Dissertation in Zusammenarbeit mit dem Institut für Epidemiologie, Biostatistik und Prävention der Univ. Zürich. Themenkreis: Alter/Bewegung/Ernährung/Reha verfassen; Forschungsarbeiten zur vorgegebenen Thematik im Rahmen des Swiss Learning Health Systems SLHS umsetzten und gestalten; Bei wissenschaftlichen Publikations- und Präsentationstätigkeiten mitarbeiten; Eine qualitativ hochstehenden Forschung sicherstellen
Requirements: Abgeschlossenes Masterstudium, vorzugsweise in einer Gesundheitsprofession; Praxiskompetenz in einer Gesundheitsprofession und/oder erste Forschungskompetenzen oder die Bereitschaft, diese zu erwerben; Kenntnisse des schweizerischen Gesundheitswesens; Idealerweise erste Projektmanagementerfahrung

Workload: 100%
Duties: Underwriting Treaty reinsurance for new and existing clients in compliance with the company's guidelines and within assigned authorities; You will understand client's needs, evaluate options for action, develop business opportunities and coordinate client interaction. you will support the team in establishing and maintaining knowledge of the assigned insurance markets in respect of wordings, insurance regulations as well as brokers and competitors; Negotiating, pricing and concluding treaty contracts within your assigned authorities, being accountable for the performance of the assigned market; Representing the company during meetings with clients, brokers or any other counterparties of the Company and when attending industry events or conferences
Requirements: 5/7 years in equivalent position with knowledge and experience in re/insurance business; University degree in Economics, Mathematics, Legal Sciences or Technical Degree or equivalent; Very good knowledge of French and English (written and spoken) and another language could be plus; Strong analytical skills, pragmatic and solution oriented; Ability to originate new business, relying on very good negotiation skills; elf-starter with the drive to take initiative and manage targets in a goal-orientated manner. Demonstrating ability for teamwork, efficiently and under pressure; Able to travel abroad throughout the year

Department: Lehrstuhl für Technische Mechanik und Strömungsmechanik
Workload: 100%
Duties: Inhalt der Forschung ist die Erforschung eines Freistahles, wie er in den ersten Phasen eines Vulkanausbruches auftritt. Anwendungen sind jedoch auch auf vielen anderen technischen Gebieten zu finden, wie zum Beispiel der Einspritzung in Motoren, der Kühlung von Elektonikkomponneten oder der Reinigung von Solarpanels auf Marsfahrzeugen. Wir nutzen akustische Emissionen der Strahlen um deren Struktur zu untersuchen. Das spezifische Forschungsvorhaben liegt deshalb auf dem Gebiet der Aeroakustik transsonischer Freistrahlen
Requirements: Erwünscht sind Kandidaten, die über einen Masterabschluss in Physik, (numerischer) Mathematik oder einer Ingenieurdisziplin verfügen. Die Stelle ist zunächst auf vier Jahre befristet und auch mit einer Lehrverpflichtung verbunden und erfordert deshalb Deutschkenntnisse

Workload: 100%
Duties: Perform actuarial audits of life (re)insurers; Advise clients on topics relating to Swiss Solvency Test, Solvency II and IFRS 17; Support clients with the actuarial aspects of finance transformation programmes; Conduct actuarial model development and validation assignments; Provide support with M&A projects Manage client relationships and build new ones; Assist with the development of proposals in order to win new business; Identify business opportunities by building relationships both internally and externally
Requirements: University degree in Actuarial Science, Economics, Finance or Mathematics; Completed actuarial qualification (SAV/FIA or equivalent); At least 4-5 years of experience within the insurance industry as an actuary; Strong IT skills, specifically in MS Office, experience with actuarial software a plus; Fluent in English, German is an asset; Audit and IFRS 17 experience a strong plus

Duties: Development of and support with theoretical topics, analytical modelling, numerical simulations, data analysis and programming for various applications with sensing and actuating MEMS technologies (mostly focusing on magnetics, thermal, structural mechanics, and fluids) in theoretical physics and applied mathematics; One specific focus is the development of custom, special purpose simulation for magnetics, including magnet system design, micro-magnetics, AMR and fluxgate sensor developments and eddy current sensing; Industry project support with FEM simulation with ANSYS or COMSOL; Project management
Requirements: A PhD degree in Theoretical physicist, applied physics, applied mathematics or similar field of study; At least 4 years of experience in Research & Development; Fundamental knowledge on semiconductor technology; Must have experience with analytical and numerical methods beyond the use of standard FE tools; Interest in the development of numerical and analytical models and their application in applied research; Development and analysis of sensor systems, MEMS, chips, industrial machinery, and multi-physics coupling between electromagnetic, thermal, structural mechanics and fluid simulations; Experience in project acquisition and customer communication; Fluent in English; German is a plus as well as knowledge in Python

Duties: Yukie Nagai (IRCN Principal Investigator) lab has been investigating how human infants acquire various cognitive abilities by means of computational approach and designing assistant systems for people with developmental disorders. This research lab seeks postdocs who will work in the fields of cognitive developmental robotics, human-robot interaction, machine learning, neural network, and relevant topics. The lab aims to develop artificial intelligent systems for understanding and assisting cognitive development
Requirements: Ph.D. in Engineering, Ph.D. in Computer Science or equivalent in a related field; Experiences in cognitive developmental robotics, human-robot interaction, machine learning, neural network, and/or cognitive science will be preferred; Good communication skill in English

Duties: The SAS Programmer position will collaborate with statisticians and data management staff to provide programming support for clinical research studies. This includes HTML reports for study websites, site payment reports for clinical sites, and reports for interim and final analyses of major trials. The SAS Programmer will be expected to produce and maintain SAS programs that utilize data from multiple studies
Requirements: Master’s degree in statistics or other scientific discipline and 2 years of related experience or BA/BS and 4 years of related experience or a combination of education and experience to equal eight years; Experience in the preparation of data analyses for clinical research projects; Experience with SAS Version 9 (preferably at least 9.3) of Base SAS, SAS/STAT, SAS Macro language and SAS SQL; SAS/GRAPH; Proficiency in Microsoft Office; Good organizational and communication skills, and the ability to work in a collaborative environment

Duties: Develop research questions based on genome-wide distribution of epigenetic elements and the control mechanism of gene expression (20%); Collect data (20%); Analyze data (30%); Write manuscripts for publications (15%); Collaborative research projects (15%)
Requirements: PhD in bioinformatics, computer science, mathematics, or related science field; Expertise in DNA/protein sequencing data, NGS data, genomics and epigenetic data analysis; Excellent interpersonal skills and ability to work collaboratively with others; Excellent oral and written communication skills

Duties: The Division of Biostatistics, School of Public Health, at the University of Minnesota is announcing the opening of a non-tenure track (contract) faculty position at the rank of Assistant Professor, who will provide statistical support for clinical trials coordinated at the Coordinating Centers for Biometric Research (CCBR)
Requirements: Applicants must have a PhD in biostatistics, statistics, or a closely related field. A successful candidate will be primarily responsible for providing statistical support for large, multi-center clinical trials at the CCBR. The CCBR is currently coordinating a number of national and international clinical trials to evaluate treatments for COVID-19, as well as ongoing trials related to other infectious diseases, COPD, cardiac arrest, and other areas

Duties: Duties include establishing a strong, independent research program in mathematical biology, actively participating in the Mathematical Biology group, collaborating more generally with quantitative bioscientists, teaching applied mathematics and/or probability at the undergraduate and graduate level, and mentoring research students. Depending on their background, the faculty members hired are expected to teach undergraduate and graduate courses in pure and applied mathematics, including numerical methods, nonlinear dynamics, partial differential equations, asymptotic analysis, and applied math methods. The applied probabilist will be expected to teach courses in probability theory and stochastic processes
Requirements: PhD. in Mathematical Biology, Applied Mathematics, Mathematics, Statistics, or a closely related field; Demonstrated excellence and promise in both research and teaching; Postdoctoral research experience

Duties: The Department of Mathematics & Statistics at Utah State University invites applications for one or more 9-month, tenure-track Assistant Professor positions with an estimated starting date of August 1, 2021. The research area for this position is broadly data science with research and teaching strength in statistics. We are particularly interested in candidates with research interests in machine learning; analysis of massive, high dimensional and functional data; predictive analytics; data mining; data technologies; or statistical and data visualization
Requirements: PhD. in Data Science, Statistics, Biostatistics or a closely related field with evidence of potential for excellence in research; Documented experience with computer and/or statistical languages such as (one or more of) R, Python, Julia, SAS, SQL, C++, or Javascript; Demonstrated ability to engage in interdisciplinary research with data scientists, statisticians and/or applied scientists in other disciplines

Duties: The University of Florida, Department of Health Outcomes and Biomedical Informatics (HOBI) in the College of Medicine is recruiting a tenure track Assistant Professor. Areas of particular interest include a research emphasis in learning health systems, clinical research informatics, clinical decision support, population health informatics, and/or the intersection of informatics and health services research
Requirements: Requirements for the Assistant Professor position includes: 1) an MD and/or a PhD in biomedical informatics or a related field, including but not limited to computer science, information science, engineering, or health services research 2) a track record of investigation in biomedical informatics, and 3) a commitment to pursue an academic biomedical informatics career

Department: Advisory
Workload: 80-100%
Duties: You provide risk advisory services to Banks on regulatory topics (especially regarding capital adequacy, liquidity, IRRBB, risk management, quantitative risk models (Counterparty Credit Risk, Credit Risk as well as Market Risk), risk diversification regulations and various other Basel III topics); You provide in-house regulatory support and advice to the Financial Services Audit professionals in supporting key client engagements; You define and interpret regulatory requirements and best practices, develop regulatory audit tools and deliver regulatory audit services; You will be part of a diversified team of risk experts (FRM) that offers advisory and audit services for Banks and also be an essential part in our team expansion; You are developing value-adding client-proposals and -solutions and taking these to the market
Requirements: You have a university degree or equivalent education (Banking, Economic Science, Accounting, Finance or Business Administration) or you have a Master or PhD degree in an applied quantitative discipline (e.g. Statistics, Econometrics, Actuarial Science, Financial Engineering, Mathematics, Physics, Quantitative Finance); You have directly graduated from university and you are interested in a career in the Financial Risk Management area or you already have some years’ experience (1-3 years) in risk and regulatory services, either in a line role, advisory, audit or supervisory capacity in the financial services industry (mainly with banks) - depending on your experience the role includes the delivery of advisory and audit services and the role as team lead of various delivery teams; You are able to work independently and as a strong team player, the role involves managing multiple demands and priorities which requires attention to details, strong analytical and problem-solving skills and...

Duties: Design and implement algorithms, test them on experimental data; Analyse and critically evaluate the results; Present progress reports on internal and external meetings, attend online and in-person workshops; Actively participate in publication of the results; Share experience with the group members
Requirements: An ideal candidate will be happy to work in an international multidisciplinary setting and should be comfortable with algebra, statistics, neuronal networks and could code in C++/python/Matlab. A coding assignment will be provided as a part of the interview process; We offer; International working environment with communication in English and German; Interesting career opportunities and a comprehensive range of qualification and further training opportunities; Compatibility of family and career certified by the berufundfamilie audit; Varied support for "New Berliners" (Welcome & Family Office); Company health management with fitness center

Duties: You will work on Data Engineering and Architecture topics on a project basis, for and in collaboration with customers throughout Switzer land and internationally; You will work for interesting national and international organizations in various domains such as Supply Chain, Finance, Risk, etc. and across various sectors like Life Sciences, Consumer Products & Retail, etc; You will learn through knowledge sharing, trainings and on the job experiences; You will contribute to develop new propositions and innovative solutions that are responsive to market needs; You will support in growing the Data Analytics & Automation team
Requirements: You hold a Master’s degree and you have u p to 5 years of working experience with Data Engineering and Architecture: Data Fabric, Data Architecture Design and Modeling, Semantic Layer, Cloud computing, NextGen Data Platforms, Data Integration, Database Management, Data Quality, DataOps; You have experience with processing data with SQL, Python, Scala, Java, R and developing data pipelines in tools/platforms such as Databricks, Azure Data Factory, (Py) Spark, Azure Synapse; You are familiar with Elastic, Kubernetes, Docker, micro services and/or containerized data solutions; You have interest or experience in the broader data, analytics and automation field: Data Analysis, Data Visualization, Process Mining, RPA, Intelligent Automation, etc; You have a flexible and pro-active attitude, strong communication skills and are able to collaborate well in teams; Business fluent in English and German

Duties: You will work on Data, Data Strategy and Data Management topics on a project basis, for and in collaboration with customers throughout Switzer land and internationally; You will work for interesting national and international organizations in various domains such as Supply Chain, Finance, Risk, etc. and across various sectors like Life Sciences, Consumer Products & Retail, etc; You will learn through knowledge sharing, trainings and on the job experiences; You will contribute to develop new propositions and innovative solutions that are responsive to market needs; You will support in growing the Data Analytics & Automation team
Requirements: You hold a Master’s degree and you have u p to 5 years of working experience with Data and Data Management: Information and Data Strategy, Data Office Organization, Data Governance, Data & AI Ethics, Architecture & Semantics, Ontology Design, Master Data Management and Metadata Management; You have interest or experience in the broader data, analytics and automation field: Data Analysis, Data Visualization, Process Mining, RPA, Intelligent Automation, etc; You have a flexible and pro-active attitude, strong communication skills and are able to collaborate well in teams; Business fluent in English and German

Duties: You will work on Data Science and Analytics topics on a project basis, for and in collaboration with customers throughout Switzer land and internationally; You will work for interesting national and international organizations in various domains such as supply chain ( e.g. stock optimization, predictive maintenance), customer ( e.g. Customer Lifetime Value and churn), finance (e. g. predictive P&L), procurement, etc; You will guide, coach and manage to colleagues on projects and within the team; You will contribute to develop new propositions and innovative solutions that are responsive to market needs; You will support in growing the Data Analytics & Automation team
Requirements: 5 years of working experience with Data Science in a consulting company or in an internal Data Science team dealing with internal customers; 4 years of experience with multiple of the following capabilities: Machine Learning, Deep Learning, Computer Vision, Natural Language Processing & Generation, Speech and Audio Processing, Mathematics, Statistics & Operations Research; Ability to engage and build relationships with potential clients and to identify trends and opportunities in the market; Interest or experience in the broader D&A and automation field: Data Analysis, Data Visualization, Process Mining, RPA, Intelligent Automation, etc; Experience with technologies like R, Python, MS cognitive services, cosmos DB, Spark, PySpark, SQL, MS Power Platform, Tableau, etc; Business fluent in English and German

Duties: You will work on Data Engineering and Architecture topics on a project basis, for and in collaboration with customers throughout Switzerland and internationally; You will work for interesting national and international organizations in various domains such as Supply Chain, Finance, Risk, etc. and across various sectors like Life Sciences, Consumer Products & Retail, etc; You will guide, coach and manage to colleagues on Data Engineering and Architecture topics in projects and within the team; You will contribute to develop new propositions and innovative solutions that are responsive to market needs; You will support in growing the Data Analytics & Automation team
Requirements: You hold a Master’s degree and 5 years of working experience with Data Engineering and Architecture: Data Fabric, Data Architecture Design and Modeling, Semantic Layer, Cloud computing, NextGen Data Platforms, Data Integration, Database Management, Data Quality, DataOps; You have experience with processing data with SQL, Python, Scala, Java, R and developing data pipelines in tools/platforms such as Databricks, Azure Data Factory, (Py) Spark, Azure Synapse; You are familiar with Elastic, Kubernetes, Docker, micro services and/or containerized data solutions; Ability to engage and build relationships with potential clients and to identify trends and opportunities in the market; Interest or experience in the broader data, analytics and automation field: Data Analysis, Data Visualization, Process Mining, RPA, Intelligent Automation, etc; Business fluent in English and German

Duties: You will investigate how to increase awareness of the system about its own state and how to leverage human interaction with the system to enhance flexibility and robustness and strengthen human-machine collaboration; Possible research avenues are selection and fusion of distinct sensor modalities, adaption of perception algorithms, “anomaly detection” implying self-discovery of failure modes using model- and data-driven approaches such as machine learning; You will work closely with experts in the fields of sensor data analysis, computer vision, and machine learning; You will be supervised by Prof. Matthias Scheutz, Director of the Human-Robot Interaction Lab from the Tufts School of Engineering, Boston, USA and by scientists and engineers of the Center and you will interact with experts in the specific domain
Requirements: Master studies in the field of computer science, electrical engineering, mechatronics, mathematics, physics or similar; Good programming skills in C++, Cuda, Python, Matlab or other languages; Experience with machine learning applications (e.g. PyTorch, Tensorflow) and image-processing (e.g. stereo matching, light field, OpenCV) would be an advantage; Interested in reading and writing scientific publications and enjoy application-oriented questions from industry; High level of commitment and team spirit; Excellent knowledge of verbal and written English is mandatory

Duties: Übernahme der Rolle des Aktuars innerhalb des Fachteams „Produktentwicklung Cyber“; Prüfung, Validierung, Weiterentwicklung und Modellierung von aktuariellen Modellen zur Cyber-Versicherung, wie z.B. der PPE (Product Pricing Engine); Entwicklung moderner Ansätze wie Maschine Learning zur Verbesserung der Cyber Tarifierungsmodelle; Kompetenter Kontakt zu Geschäftspartnern wie Risikoträgern und Vertriebspartnern und Schnittstelle zu allen relevanten Unternehmensbereichen
Requirements: Studium der (Wirtschafts-)Mathematik idealerweise mit versicherungs- oder finanzmathematischem Schwerpunkt; Berufserfahrung im Versicherungsumfeld vorzugsweise im aktuariellen Bereich; Spass an komplexen mathematischen Fragestellungen sowie an deren Modellierung und der Prozessgestaltung; Kommunikationsstärke, Engagement und hohe Bereitschaft zur Teamarbeit; Sehr gute Deutsch- und vorzugsweise Englischkenntnisse

Duties: Lead statistical programming activities as Trial Programmer for phase I to IV clinical studies or assigned project-level activities. Co-ordinate activities of all programmers either internally or externally assigned to the study/project work. Make statistical programming recommendations at study level. Contribute to project level standards; Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical programming aspects (timelines, scope), e.g. as member of the Clinical Trial Team (CTT); Review eCRF, discuss data structures and participate in data review activities
Requirements: BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences or related field with Ideally 5+years of work experience in a programming role preferably supporting clinical trials/or in pharmaceutical industry; Good SAS experience and proven skills in the use of SAS within a Statistical Programming environment to develop and validate deliverables. Good experience in contributing to statistical analysis plans and/or constructing technical programming specifications; Good knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs; Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures)