Aufgaben: Mitarbeit bei nationalen und internationalen Forschungsprojekten; Selbstständige Erstellung von Forschungsdesigns; Ausgezeichnete methodische Kenntnisse im Bereich Statistik (komplexe statistische Verfahren und Auswertungen in SPSS); Analyse und Aufbereitung von Datensätzen; Darstellung von Daten in Form von Infographiken; Vertretung des KFV bei (inter)nationalen Konferenzen und Ausschüssen
Anforderungen: Sie verfügen über ein abgeschlossenes sozialwissenschaftliches Studium (z.B. Psychologie, Soziologie) sowie über die Bereitschaft zur Weiterentwicklung bzw. zur Vertiefung in den Themenbereichen der Verkehrssicherheit; Sie haben einschlägige Berufserfahrung und eine Affinität zum Thema Unfallprävention; Sie verfügen über profunde Kenntnisse in wissenschaftlicher Recherchetätigkeit und können komplexe Themenstellungen klar strukturieren, das Wesentliche prägnant zusammenfassen und Ergebnisse praktisch umsetzen; Sie zeichnen sich durch eigenverantwortliche, präzise sowie lösungsorientierte Arbeitsweise aus und verfügen über exzellente MS-Office- und Englischkenntnisse

Aufgaben: Sie sind Teil der Generali IT - und damit Teil des digitalen Vorreiters in der Branche; Sie konzipieren und entwickeln komplexe Webanwendungen; Sie sind beim gesamten Software Lifecycle dabei - bei uns gibt’s keine „Fliessbandarbeit“; Sie erstellen Entscheidungsvorlagen und Projektkonzepte; Sie gestalten die Softwarearchitektur mit
Anforderungen: Sehr gute Kenntnisse in objektorientierter Softwareentwicklung in Java; Mindestens 5 Jahre Erfahrung in professioneller Analyse, Design, Spezifikation und Realisierung von Java-Serveranwendungen; Praxis Know-how in der Arbeit mit Schnittstellen (REST, JSON, XML) sowie in der Verwendung von Open Source-Frameworks wie Hibernate & Spring; Schnelles Verständnis von komplexen, abstrakten internen Frameworks; Kenntnisse zu relationalen Datenbanken (IBM DB2, MariaDB, MS SQL); Sehr gute Deutsch- und Englischkenntnisse

Aufgaben: The candidate will work on the project “Reducing Inequality Within and Across Generations” (RIWAG). The aim of this project is to provide a unified framework for studying and mitigating the economic and demographic consequences of increasing inequality not just in respect to income and wealth but also in respect to health and longevity
Anforderungen: PhD student in one of the following areas: economics, mathematics, actuarial science, or demography; Good skills in any of the following programming languages: Julia, Python, R, Matlab; Good writing skills and fluency in English; Being able and willing to immerse quickly into an ongoing research project

Dauer: 6 y       
Pensum: 100%
Aufgaben: Independent research and publication activity in the field of mathematics education (work on own habilitation desired); Participation in national and international research projects, beside others in the area of multimodality (embodiment) and language in mathematical thinking and learning, as well as inclusive mathematics education; Conducting lectures in the Bachelor and Master studies "Lehramt" mathematics; Collaboration in the supervision of Bachelor's and Master's theses and dissertations; Involvement in the institute's administration and the university's self-government; Collaboration in projects of the educational center "Mathematics and Geometry"
Anforderungen: Completion of a doctoral/Ph.D. program in mathematics education; Proof of teaching experience at secondary level desirable (desirable); Didactic aptitude for independent teaching; Ability to work independently and autonomously; Organizational skills and ability to work in teams; High personal motivation to academic excellence; Reliability, high level of social and communicative skills; Interest in questions of inclusive mathematics education; Basic to good knowledge of German; Very good english skills

Aufgaben: Developing workflows and programming code for modeling of species distributions under global change scenarios, in particular changes in agricultural and forest management; Large geo-spatial data preparation for spatial planning and assessment of protected area effectiveness; Ecological modeling for land use and climate impact assessments; Leading the dissemination of project results via high-quality journal publications and conference presentations; Contribute to the organization of project-related workshops and/or webinars; Support all project partners and group members in the drafting of reports, grant proposals and other scientific outputs as need arises
Anforderungen: PhD or equivalent experience in statistics, computer science, engineering, environmental science, or ecology with experience in using statistical or machine learning methods with large datasets; Fluent in at least one scientific coding language (R, Python, C++). Previous experience in developing scientific software for ecological research (e.g., Python libraries, R-packages) highly desirable; Experience in parallel computing, collaborative coding and version control (e.g., Git) advantageous; Advanced geo-spatial analyses in R. Knowledge of Google Earth engine advantageous

Aufgaben: Develop and implement cutting-edge image analysis tools; Develop new genomics data analysis procedures; Expand the open-source software platform HiCognition; Build robust data processing pipelines that transform high-throughput experimental data into actionable knowledge; Train and help biologists analyze their imaging and genomics data
Anforderungen: Applicants should hold a degree (BSc, MSc, or Ph.D.) in Computer Science, Biology (with demonstrable strong computational skills), Physics, or related disciplines; They should be proficient in image analysis, machine learning, and software development (preferentially Python); They should have the ability to develop customized analysis pipelines from raw data processing to visualizations; Candidates are expected to be fluent in English and have good communication- and interpersonal skills such that they become an integral part of our team; Experience with Conda, Docker, and HPC clusters is a plus

Aufgaben: As part of our interdisciplinary team, you will support us in developing our digital Behaviour Change platform and some individual frontend parts; After the initial requirements and state-of-the-art analysis, you will apply your architecture design and backend development skills to conceptualize and technically specify a modular, microservice-based backend platform. During the design phase, you will involve our long-standing development experts to help you to optimize the platform architecture towards different application areas; As the key person in the development process, you will implement, maintain, extend and optimize the platform and ensure uptime utilizing the necessary server and cloud infrastructure. You will incorporate elaborated behavioral change and interaction models within new research projects and develop the necessary modules and microservices; You will participate in international research and consortium meetings and support writing project documentation, research pr...
Anforderungen: University degree in Computer Science with a specialization in Software Engineering, Data Science, Media and Human-Centered Computing, Logic and Computation, or other related field of study; Practical experience in backend and microservice development; Very good knowledge in architecture design, frameworks and modules, and backend development; Ability to work in a team, willingness to work independently and responsibly; Enthusiasm for innovation, unconventional solutions, creativity, and visionary power; Very good English knowledge, both in spoken and written, German knowledge is an advantage

Dauer: 4 m       
Pensum: 100%
Aufgaben: Mitwirkung in laufenden Projekten und Vorhaben der Abteilung; Juristische Recherchetätigkeit im Bereich der Data Governance; Mitwirkung an Innovations- und Automatisierungsvorhaben; Erstellung von Dokumentationen und Präsentationen
Anforderungen: Laufendes Bachelor-/Masterstudium aus dem Bereich der Rechtswissenschaften oder Wirtschaftswissenschaften ist unbedingt erforderlich; Grundkenntnisse der österreichischen Bankenlandschaft; Teamfähigkeit, Genauigkeit, Belastbarkeit und Flexibilität; Sehr gute MS-Office-Anwenderkenntnisse; Bereits absolvierte Praktika im Rechts- bzw. Finanzbereich von Vorteil

Aufgaben: Leads the Data Operations and System Engineering Activities around UNIQA’s Big Data & Ingest applications; Develops Infrastructure-as-Code (IaC) artifacts, CICD & automation; Implements Change Data Capture pipelines enabling UNIQA using real time data feeds; Embraces the DataOps/DevOps methodology and improves our routines and procedures; Determines requirements for operating and running systems which process on large data sets; Operates & Monitors Data Processing systems (consisting mainly of the Cloudera, On-Prem, AWS & Azure); Works in a highly motivated interdisciplinary System Engineers team with different Business stakeholders, Architects, Data Engineers, and Data Scientists from both Business and IT
Anforderungen: High Proficiency in Operation Skills (Linux) for Middleware Technology Stacks like Cloudera Data Platform/Hortonworks, Enterprise Application Servers (WebSphere/JBoss/Geronimo/etc…); High Proficiency in of Java Development in Enterprise-grade environments and Scripting (UNIX Shell, Perl, PHP, Python or similar) und DevOps Tools (GIT, Jenkins/Hudson, Docker, Openshift/Kubernetes); 3 years experience on operating Apps using Cloud Infrastructure Provider APIs & Management Consoles (e.g. Azure/AWS/Google); Experience in the configuration of CICD and IaC (Jenkins, Ansible/Kubernetes/TerraForm); Know-How in Networking & IT Security area (Networks and Network segments, Firewalls, PKIs and Certificates, Kerberos, Load-Balancing, etc.) and Know-How for Web-Service Interfaces (REST, SOAP); Know-How in Job Scheduling & Job Automation (e.g. Automic); Excellent oral and written communication skills, in German and English (Slovak, Bulgarian, Hungarian as a plus)

Aufgaben: Strukturiertes und schrittweises Onboarding durch erfahrenes Kollegium; Möglichkeit im Homeoffice zu arbeiten; Erstellung von Ad Hoc Auswertungen und von automatisierten Regelreports; Mitarbeit bei der Erstellung und Weitereinwicklung von internen Standards (fachliche Dokumentation & Programmierrichtlinien); Eine abwechslungsreiche Tätigkeit mit wenig Routineaufgaben
Anforderungen: Erfahrung mit SAS EGUIDE; Gute SAS Base Programmkenntnisse; Bereitschaft zur Weiterentwicklung; Von Vorteil: Grundkenntnisse der SAS Makrosprache; SQL- und/oder Power BI- Grundkenntnisse; Excel VBA Grundkenntnisse; Erste Erfahrungen mit Dokumentationsstandards oder Programmierrichtlinien

Aufgaben: You work close with the Use-Case Teams (Data Agile Release Train, Innovation, International Countries) to bring our Data Engineering and Architecture to the next level; As the Lead for Data Platforms, you work close with business and on dedicated use-cases to create awareness for data and respective skills; You support the use-case execution by bringing new insights and innovative ideas to solve tough engineering and architecture problems; You create new architectural standards with the use-case teams and our Enterprise Architecture; As the Data Platform Lead, you evolve the data strategy in this field; You partner with business units and corporate functions to understand needs and translate them to data technology solutions; You ensure that UNIQA’s Data Products have standardized Data Formats and expose APIs
Anforderungen: Track record in computer science or a quantitative field; Hands on experience in building solutions using Cloud-based data solutions such as: Azure Synapse, AWS RedShift, Databricks, Snowflake or others; Good knowledge of Azure or AWS solutions and deployments; Experience with SQL, GIT, PowerShell and DevOps; Experience with Big Data (Cloudera, Hortonworks); Very good command of the English language

Aufgaben: Sie entwickeln und optimieren KI-Algorithmen für die Bereiche Umwelterkennung, Umweltmodellierung und Prozessplanung, um Roboter von morgen mit kognitiven Fähigkeiten auszustatten; Als Forschungs- und Entwicklungsingenieur*in arbeiten Sie in einem agilen Team und begleiten Projekte von der Konzeption bis zum lauffähigen Gesamtsystem; Sie unterstützen bei der Vorbereitung und Durchführung interdisziplinärer, nationaler und internationaler Projekte; Als kompetente/r Ansprechpartner*in präsentieren Sie die Ergebnisse in Publikations- und Vortragstätigkeiten
Anforderungen: Abgeschlossenes Studium in Informatik, Elektrotechnik oder einer verwandten Fachrichtung; Erfahrungen in der Forschung auf einem der folgenden Gebiete: Machine Learning, Computer Vision, Robotik; Kenntnisse in einer oder mehreren Sprachen z. B. C++, Python, C# oder Java; Enthusiasmus für neue Technologien; Analytisches Denkvermögen, strukturierte und sorgfältige Arbeitsweise; Erfahrung in der Projektbearbeitung, Kenntnisse in den für Ihren Arbeitsbereich relevanten Softwaretools sowie fundierte Englischkenntnisse in Wort und Schrift setzen wir voraus

Abteilung: Johann Radon Institute for Computational and Applied Mathematics (RICAM)
Pensum: 100%
Aufgaben: The full-time position is affiliated with the "Inverse Problems and Mathematical Imaging" Group (led by Professor Otmar Scherzer) at RICAM, located in Linz/Austria. The hired person will work on applications of data driven methods to tomographic problems, in particular microscopic imaging
Anforderungen: Doctorate in Mathematics with focus on Mathematical Modeling, Mathematics of Microscopic Imaging, Mathematics of Computation or a closely related field is required; Strong background in Mathematical Tomography or Regularization; Expert knowledge in either one of the following topics Mathematical Tomography, Integral Geometry, Regularization Theory, Iterative Algorithms is preferential; English skills needed

Aufgaben: Support work to improve and extend the analysis of the impacts of air pollution on human health, quantifying mortality as well as morbidity from both ambient and household air pollution (the focus will be on impacts due to exposure to particulate matter, nitrogen dioxide, and ozone); Work on the interpretation of available data and methods, their integration in the current GAINS integrated assessment framework, as well as co-lead the further development of the model with that respect; Active involvement with partners in collaborating teams and institutions (mostly developing world and international organizations like UNEP, CCAC, EU)
Anforderungen: An advanced university degree (PhD, Master's, or equivalent) in a relevant subject, and a strong research-oriented background in environmental health, environmental epidemiology, demography, health economics, statistics, or related fields; Demonstrated experience in assessment and analysis of health data and their use in modeling approaches for burden of disease, morbidity, or economic valuation calculations; Proficiency with state-of-the-art methodologies for assessing health impacts of (ambient and household) air pollution and/or other environmental risks in terms of mortality and morbidity

Aufgaben: Our group studies how genomes are packed inside cell nuclei. We want to uncover the specific patterns of genome folding, physical principles and biological mechanisms that drive this folding and its importance for the fundamental genome functions
Anforderungen: Ideal applicants should have a strong background in physics, math, CS, or computational biology

Abteilung: Johann Radon Institute for Computational and Applied Mathematics (RICAM)
Pensum: 100%
Aufgaben: The successful candidate is affiliated with the "Optimization and Optimal Control" Group at RICAM and is expected to take a decisive role in the developments of the group’s research activities. As a junior group leader, the candidate is not only expected to advance the own research topic but also to contribute to the definition of research directions of the group and to the formulation, submission, and management of research proposals
Anforderungen: Doctorate related to the above requirements; Strong background and research profile in partial differential equations, control, and optimization; Strong background and research profile in numerical mathematics and computing; Experience with third party funding is welcome; English skills are needed

Pensum: 100%
Aufgaben: Fachliche Konzeption von Modellen, Methoden, Prozessen sowie Design und Umsetzung technologischer Lösungen in allen Wirtschaftsbereichen und im Public-Sektor: Einsatz von Data-Science-Methoden; Betriebswirtschaftliche Analysen und Simulationen; Konzeption, Implementierung und Validierung mathematischer Modelle; Verwendung moderner Technologien wie Machine Learning oder Big Data Lösungen; Agile Full-Stack-Programmierung von anspruchsvollen Lösungen; Fachliche Analyse und Umsetzung regulatorischer Vorgaben; Analyse, Konzeption und Digitalisierung von Prozessen; Auswahl, Parametrisierung und Integration von Systemen
Anforderungen: Herausragender Universitätsabschluss (Master/Promotion) in Physik, Mathematik, Informatik oder Natur-, Ingenieur- oder Wirtschaftswissenschaften mit entsprechend quantitativ, analytisch oder technologisch ausgerichteter Vertiefungsrichtung; Überdurchschnittliche mathematische Fähigkeiten und hohes Technologieverständnis; Exzellente Kommunikationsfähigkeiten, hohe Teamfähigkeit sowie grosse Einsatzfreude; Bereitschaft zur permanenten Weiterentwicklung und Erarbeitung neuer Themenfelder; Sehr gute Deutsch- und Englischkenntnisse

Aufgaben: In this role, you will develop and implement complex algorithms for the analysis of OMICS data and prediction of medical outcomes; You will be conducting scientific research that applies artificial intelligence/deep learning informed computational biology strategies to topics of biomarker development; You will conceptualize, write grant proposals, and develop scientific methods and will lead competitive applied research projects in the field based on your own ideas; While being responsible for the management of small to middle-sized projects, you will have the chance to interact with external collaborators and advise our national and international project partners; You will mentor and supervise junior researchers and students; You publish your research results in peer-reviewed journals and will present them at conferences
Anforderungen: Higher Degree (preferably PhD) in Biological Sciences, Computational Biology, Bioinformatics, or any other related field; 3-5 years working experience in a similar environment; Considerable knowledge and technical skills associated with the development of complex pipelines for the analysis of omics data predominantly (epi)genomics, transcriptomics and immunomics; Publication track record with an emphasis on biomedical research topics; Strong background in statistics and artificial intelligence/deep learning, proficiency in R and Python, as well use of high-performance computing for scientific research; Profound analytical and problem-solving skills; Willingness to write grant proposals and publications; Ability to work independently and as part of a team; Excellent verbal and written communication skills

Aufgaben: Empirical analysis on community-level decision-making on disaster and climate risks (involving statistical analysis and survey-based methods); Research on the co-production of local knowledge and decision-making strategies, involving international travel to Alliance communities; Scenario-informed decision-making, such as through using adaptation pathways; Analysis of applicable and promising implementation and policy options including constraints, barriers and limits to adaptation; Application of monitoring & evaluation methods for understanding effectiveness and efficiency of risk management interventions
Anforderungen: A Master’s or PhD degree (or equivalent) in the social sciences, economics, statistics, geography or other relevant field(s); An understanding of the literature regarding current issues related to decision-making on disaster risk management, climate change and resilience is highly desirable; Strong English communication and writing skills are necessary, and proficiency in other languages is welcome

Aufgaben: Entwicklung von Strategien, fachliche Konzeption der zugehörigen Modelle, Methoden und Prozesse bis hin zur professionellen Implementierung der Lösung: Verwendung moderner Technologien wie Machine Learning oder Text Analytics in AI-nahen Anwendungen; Einsatz von Data-Science-Methoden für Simulationen und Vorhersagen im Zuge der fortschreitenden Digitalisierung; Konzeption, Implementierung und Validierung finanzmathematischer Modelle im Risikomanagement, Finanzcontrolling oder Treasury; Entwicklung und Umsetzung von IT-Governance, Risk- und Compliance-Konzepten; Design und Implementierung individueller IT-Systeme und IT-Architekturen
Anforderungen: Herausragender Universitätsabschluss (Master/Promotion) in Physik, Mathematik, Informatik oder Natur-, Ingenieurs- oder Wirtschaftswissenschaften mit entsprechend quantitativ, analytisch oder technologisch ausgerichteter Vertiefungsrichtung; Überdurchschnittliche mathematische Fähigkeiten und hohes Technologieverständnis; Hohes Mass an Flexibilität und Belastbarkeit aufgrund der wechselnden Einsatzorte in Österreich und weltweit; Exzellente Kommunikationsfähigkeiten, hohe Teamfähigkeit sowie grosse Einsatzfreude; Bereitschaft zur permanenten Weiterentwicklung und Erarbeitung neuer Themenfelder; Sehr gute Deutsch- und Englischkenntnisse

Abteilung: Johann Radon Institute for Computational and Applied Mathematics (RICAM)
Pensum: 100%
Aufgaben: The hired person should work on problems in Information-Based Complexity, Approximation Theory, and related subjects
Anforderungen: Completed doctorate in mathematics or applied mathematics; Strong background in fields related numerical analysis, in particular Information-Based Complexity, Approximation Theory, and Multivariate Algorithms; Experience in mathematical research at an internationally competitive level, in publishing results in internationally refereed journals of high quality, and in giving scientific presentations at international conferences and workshops; Strong skills of English

Aufgaben: Contribute to the analysis of energy policies, emission reduction targets, and national energy plans within the context of broader sustainable development goals (including equitable access to modern energy services, mitigating air and water pollution, reducing waste and material use, etc., ); Develop new methodologies, models/modules, and innovative model-linkage frameworks for an integrated assessment of national energy transformations including emerging challenges/solutions in this field; Collaborate with team members to co-develop an open-source integrated assessment modeling framework (MESSAGEix), and apply/adjust the tool to respond to different research questions pertinent to national and regional energy transformations
Anforderungen: PhD degree (or equivalent) or master’s degree (or equivalent) plus research experience in a related field in energy economics, energy engineering, operations research and systems analysis, or related field; Systematic understanding of and hands-on experience with energy system optimization models and/or integrated assessment modeling would be important; Domain knowledge on energy transitions, their enablers and barriers in both energy supply and demand sectors, and the role of energy policy, markets, and technological change, in the context of climate change mitigation and sustainable development

Aufgaben: Support and enhance IIASA CatSim modeling for public sector disaster and climate risk stress-testing (using Matlab and Python programming languages); Model impacts of implemented or planned risk reduction measures on government’s fiscal position; Assess different scenarios of climate and disaster risk financing strategies in terms of their impact on resilience; Generate recommendations on Smart Support to maximize the broader resilience impact of public sector climate and disaster risk financing strategies; Publish (single and co-authored papers) in relevant journals/books and other media (e.g., press, internet), and present research results in international fora
Anforderungen: A Master’s degree (or equivalent) in economics, statistics, mathematics, geography or other relevant field(s); Programming and modeling expertise with e.g., MATLAB and Python is essential; An understanding of the literature regarding current issues related to decision-making on disaster risk management, climate change and resilience is highly desirable; An understanding of the literature regarding current issues related to decision-making on disaster risk management, climate change and resilience is highly desirable

Aufgaben: Act as the main point of contact between OpenGeoHub and IIASA for the OpenEarthMonitor project; Build processing workflows for forest, and land-use monitoring; Contribute to geo-wiki applications and datasets; Coordinate and support the collection of In-situ crowdsourced reference datasets and other auxiliary data needed for the project; Contribute to new projects using crowdsourced data to improve crop and crop yield information, as well as other reference data
Anforderungen: An advanced university degree (PhD or Master's) in remote sensing (optical, radar, lidar); Experience in research topics related to Google Earth Engine, QGIS, Python, or open source software that allows for processing of remotely sensed images and management of GIS databases; Demonstrated research experience in optical-based remote sensing techniques; Excellent organizational skills and the capacity to deliver on allocated tasks and respond to deadlines in a timely manner

Aufgaben: Sie leiten und gestalten Forschungs- und Entwicklungsprojekte; Sie akquirieren spannende Kundenprojekte und Förderprojekte und überzeugen Projektpartner von unseren Lösungen; Ihre Lösungsansätze orientieren sich an den Anforderungen der Industrie und sind technologisch und wissenschaftlich an der Spitze; Sie übernehmen gerne Verantwortung in Projekten und für Themenbereiche; Sie führen interdisziplinäre Teams als Projektleiter/in und erreichen erfolgreich die gesteckten Ziele
Anforderungen: Abgeschlossenes Studium der Informatik, Mathematik, Elektrotechnik, Physik oder verwandter Studienrichtungen; Erfahrung im Bereich Computer Vision bzw. Bildverarbeitung, insbesondere im Entwurf komplexer Anwendungen; Praxis in der Entwicklung von System- und Softwarearchitekturen für Machine Vision Anwendungen; Erfahrung im erfolgreichen Einwerben von Kunden- und Förderprojekten; Gute Vernetzung in der Machine Vision Forschung und/oder Industrie; Mehrjährige Erfahrung in der Projekt- und Teamleitung; Ausdrucks- und Präsentationsfähigkeit in Wort und Schrift in englischer Sprache