Workload: 100%
Duties: In this PhD project, you will develop a general graph-based framework to (a) facilitate efficient multi-agent communication, (b) enable learning using sparse rewards (i.e. feedback signals that are non-zero only when a goal is achieved), and (c) build a relational representation of the environment. You will be joining a larger research team based at WMG (Warwick Manufacturing Group) at the University of Warwick working on various deep reinforcement learning problems and will support the development of an open-source library of multi-agent tasks with strong connections to industry
Requirements: Candidates should have an MSc in Statistics, Computer Science, Engineering or similar quantitative background and very strong and demonstrable programming skills especially in Python

Duties: We are seeking to appoint a full-time post, either Lecturer or Senior Lecturer in statistics and data science who will contribute to extending the research profile of statistics and data science at Exeter. We have active research programmes in forecast verification, uncertainty quantification in complex numerical models, extremes, statistical modelling, spatial statistics, clinical trials and operational research, with applications in environmental science, climate, healthcare, epidemiology and engineering. We welcome applications not only from people working in these areas, but also from other areas of statistics and data science
Requirements: A PhD or equivalent in Mathematics, Statistics, Computer Science or a related area and have an independent, internationally-recognised research programme in a relevant active field of research; A strong record in attracting funding for research, or demonstrate potential to attract such funding; An active approach to inter-disciplinary and multi-disciplinary research; Enthusiasm for delivering high quality undergraduate programmes; Strong connections and funded projects with business and community partners; Involvement in projects which develop impact

Duties: Our School is a vibrant community committed to delivering excellent teaching that results in the highest levels of student satisfaction. We have an opportunity for a talented Lecturer to deliver inspired undergraduate teaching in the fields of genetics and data science. As well as lecturing and leading seminars and practical classes, you will prepare new teaching material, organise taught modules, encourage excellent admissions to the School through participation in recruitment events and outreach activities, and contribute significantly to student pastoral support
Requirements: Along with a PhD in a related field, you will have expertise in delivering innovative research-led teaching, a dynamic teaching vision, and an enthusiasm for working with students

Duration: 3 y
Duties: Within the context of the MOIRA project, as Marie Curie Researcher in hybrid prognostic methodology for aircraft systems you will contribute to the research activities of the IVHM Centre, especially concerning the specific activities of: developing a novel hybrid prognostic methodology focusing on the assessment of the state of the health of a system. The methodology will integrate physics-based and data-driven prognostics models in order to enhance the prognostic accuracy, robustness and applicability. Dedicated experimental test rigs such as a clogged filter, a machinery fault simulator and a linear actuator failure simulator will be used to obtain reproducible datasets under different operating conditions. Finally, the performance of the developed technique will be evaluated based on the most recent prognostic evaluation metrics
Requirements: You will be educated to undergraduate level in a relevant subject and have experience of engineering research. Experience- knowledge in multi-sensor diagnostics & prognostics engineering is preferred. Selection will be according to the MSCA (Marie Skłodowska-Curie Actions) criteria and payment according to the MSCA rules: not having had main activity or resided in the UK longer than 12 months in the past 3 years immediately before the date of recruitment, not been involved in research for more than 4 years (full time equivalent) starting to count the date this person graduates his/her first MSc degree. With excellent communication skills, you will have expertise in social network analysis and a background in Health & Safety would be an advantage

Duties: This research is part of the SPHERE Interdisciplinary Research Collaboration, which has been developing a sensor platform for the home to diagnose and help manage health and wellbeing conditions since October 2013. Some of the tasks will be: feature detection and tracking; statistical modelling and analysis; applying machine learning and deep learning methodologies; the use of one or more cameras (as well as other sensor modalities), including methods for action recognition and activity analysis; tracking and identifying across multiple rooms
Requirements: PhD in Video Understanding or Multimodal Computer Vision; Prior degree in computer science or mathematics; Detailed knowledge of video understanding state-of-the-art, approaches, datasets and problems; Experience in handling video data, for learning and inference; Experience in modelling deep learning approaches for Video Understanding; Experience and evidence of publishing at high-calibre conferences and journals; Experience in working within a multidisciplinary or cross-disciplinary team; Excellent programming skills (Python); Proficiency in deep learning frameworks (PyTorch); Good publication record in computer vision and/or machine learning; Possess excellent speaking and writing skills in English

Duties: The successful candidate will join an ERC-funded project, led by Professor Andrea Manica, that aims to test hypotheses on drivers of selection for locally adapted genes in humans. The project will take advantage of a novel spatial modelling framework and paleoclimate reconstructions to disentangle complex demographies and heterogeneous selection pressures in space and time. The PDRA will work on model development, but, depending on interest and time, there will be the opportunities to be involved in the application of the models to some of the case studies
Requirements: You should hold a PhD in bioinfomatics, genetics or a relevant subject, and demonstrable skills in coding in C++. Previous experience building population genetics models, ideally with selection, is essential. You will enjoy working with a wide range of people, as part of a team, and be able to organise your time effectively

Duties: The successful candidate will join an ERC-funded project, led by Professor Andrea Manica, that aims to test hypotheses on drivers of selection for locally adapted genes in humans. The project will take advantage of a novel spatial modelling framework and paleoclimate reconstructions to disentangle complex demographies and heterogeneous selection pressures in space and time. The PDRA will help with processing of published genomes (both contemporary and modern) to be used in the modelling. Depending on interest and time, there will be the opportunities to be involved in the modelling of some of the case studies
Requirements: You should hold a PhD in bioinfomatics, genetics or a relevant subject, and demonstrable skills in handling large genomic datasets (but it does not have to be on humans). Previous experience working on selection would be desirable. You will enjoy working with a wide range of people, as part of a team, and be able to organise your time effectively

Duration: 3 y       
Workload: 100%
Duties: This is an exciting opportunity to join the Design, Manufacture and Materials Group within the School of Engineering working on an EPSRC funded project to develop novel bioprinting systems. You will computationally model turbulent reacting multi-phase jet flows in order to gain insight into the behaviour of fluids within the bioprinting process, working closely with experimental researchers to validate models. You will use the insight gained from the models to further develop and optimise the process. You will have access to high performance computing facilities within the School of Engineering to undertake the modelling
Requirements: PhD (Assistant Level) or close to completion of a PhD in a relevant subject (multiphase flows, Volume of Fluids methodology, computational fluid dynamics, turbulence, non-Newtonian fluid flows, applied mathematics, applied physics). First or upper second class honours degree in engineering, applied physics, applied mathematics or a related subject

Duties: The main focus of this post will be on developing, implementing and evaluating a speech coding strategy based on temporal integration for improving speech perception outcomes in people using cochlear implants. The work will be split between the programming of the strategy for cochlear implant research interfaces and designing, running and analysing evaluation studies with cochlear implant listeners. The listening studies will measure speech performance with and without the strategy in terms of speech intelligibility and perceived speech quality. The post-holder will be responsible for implementing and optimising the strategy, as well as for performing and analysing the experimental studies and their publication in scientific journals; this will require technical as well as communication and organisational skills
Requirements: Applicants must have (or be close to obtaining) a PhD. The ideal candidate will have expertise and a strong interest in auditory science and hearing devices as well as some experience in using computational methods (eg speech processing, signal processing, statistics) in high-level programming languages (in particular MATLAB)

Duties: You will investigate how new integrated data resources can be harnessed to identify problems across health and social care systems, target interventions and evaluate progress in addressing them. This will include the Northwest London Discover database, containing linked health and social care data for 2.3 million residents, providing a wealth of information valuable in improving health outcomes. You will be responsible for designing, conducting and writing up of statistical and/or machine learning analyses and research projects in line with the objectives of the Information Intelligence theme and the ARC programme. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data. You will also deliver technical training on data and statistical topics for the ARC programme at programme and project level
Requirements: Master’s Degree/PhD in statistics, mathematics, bioinformatics or a closely related discipline, or equivalent research, industrial or commercial experience; Knowledge of statistics, machine learning and data science, applied health research; Knowledge of research methods and statistical procedures; Extensive practical experience in a broad range of techniques including generalised linear models, multi-level models, survival analyses, time series analysis, dimension reduction techniques, clustering methods and other statistical and machine learning methods; Ability to create and evaluate statistical models, and ability to select and deploy appropriate approaches to handling missing data

Department: Healthcare Improvement Studies Institute
Duration: 2+y       
Workload: 70-100%
Duties: We are seeking a highly motivated Research Assistant who will assist the research team in the collection and analysis of qualitative and/or quantitative data, the conduct of literature reviews and the preparation of data summaries. Contribution to publications will be encouraged
Requirements: master's degree in a relevant social or health science or related field, or have equivalent practical experience. They will have a good knowledge of qualitative and/or quantitative research methods and techniques and excellent communication skills

Duration: -1y       
Workload: 100%
Duties: The department of Meteorology is looking for a Postdoctoral Research Assistant (Data Assimilation). The successful candidate will be part of the 6 scientists strong CUNDA team related to the European Research Council Advanced Investigator grant by Prof Van Leeuwen, working on causal discovery in high-dimensional nonlinear systems using advanced data assimilation. This post is focussed on the data assimilation part
Requirements: A PhD in a quantitative science of mathematics; Knowledge of advanced data assimilation techniques, ideally weak-constraint 4DVar; Experience running and analysing data assimilation experiments; Strong team working skills

Duties: St John’s College invites applications for up to four Research Fellowships, tenable for up to four years from 1 October 2022. These prestigious Fellowships offer an opportunity to carry out independent research in a stimulating and supportive academic environment
Requirements: Applications will be accepted from a graduate of any university within or outside the United Kingdom. The College welcomes applications from all academic disciplines, and it seeks to elect a diverse community of Research Fellows. Successful candidates are normally post-doctoral researchers who have been awarded their PhD within the last two years or are graduate students in the latter stages of their research leading to a PhD. Candidates holding a fellowship or other post-doctoral stipend awarded by a Research Council or other similar body may apply

Duration: 3 y
Duties: The overall aim of the project is to define formal knowledge representation and develop reasoning algorithms for Safety Assessment methods based on one of the functional modelling approach called Multilevel Flow Modelling (MFM). Current research in MFM at DTU Electrical Engineering is about developing MFM based reasoning algorithms and software tools for the analysis of causes and consequences of disturbances in industrial plants like oil and gas production plants
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. We are searching for applicants that with one (or more) of the following background: General Automation or Process control; Safety Engineering; Artificial Intelligence (rule based systems and knowledge representation)

Duties: Als zentraler IT Dienstleister der Universität Bonn betreibt das Hochschulrechenzentrum (HRZ) ein System zum Identitätsmanagement auf Basis der Software GOsa. Weiterentwicklung, Betrieb und Ausbau dieses Systems und der dazugehörigen Services (LDAP, Radius, Shibboleth u.a.) sind zentrale Aufgaben. Für diesen Bereich sucht das Hochschulrechenzentrum der Universität Bonn Unterstützung, insbesondere im Hinblick auf die in den nächsten Jahren anstehende Erweiterung des Identitätsmanagements
Requirements: ein erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium vorzugsweise der Informatik oder angrenzender Fächer; fundierte Kenntnisse im Bereich Identitätsmanagement; Erfahrung mit projektübergreifender Abstimmung von Massnahmen; sehr gute Kenntnisse im Bereich der Linux Serveradministration; gute Kenntnisse im Bereich der Authentifizierungs und Verzeichnisdienste (OpenLDAP, Radius, Kerberos, Shibboleth); idealerweise Erfahrung in der Programmierung mit einer Skriptsprache sowie in SQL

Workload: 100%
Duties: die eigenständige und zuverlässige Umsetzung von Projekten der Geschäftsstelle; Unterstützung beim Website Relaunch und bei der Optimierung und Weiterentwicklung der Cluster-Website; Schaffung der technischen Voraussetzungen zur Umsetzung innovativer digitaler Formate (virtuelle showrooms, virtuelle field sites etc.); Strategische Weiterentwicklung und Umsetzung digitaler Formate und Projekte; Konzipierung und Umsetzung digitaler Marketingmassnahmen
Requirements: Abgeschlossenes wissenschaftliches Hochschulstudium; Erfahrungen in der Konzepterstellung, strategischen Planung und Umsetzung von digitalen Projekten/Website-Relaunchs; Vertiefte Kenntnisse in Website-Funktionalitäten und -Design, wie z.B. Usability; Fundierte Kenntnisse über Internettechnologien, Webentwicklungsmethoden, Content Management Systeme, speziell Wordpress; Basiswissen in HTML und CSS sowie den Produktionsprozessen einer Website; Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift

Workload: 60-90%
Duties: Neue Funktionalitäten, Services, Workflows und Innovationen im Fiori-Launchpad prüfen, einbinden und ausrollen; SAP Basis-Betrieb in Zusammenarbeit mit dem externen Betriebspartner sicherstellen, die Workflow-Umgebung betreuen und die Benutzer-Berechtigungsdaten verwalten; Release- sowie Supportpackage-Upgrades in Abstimmung mit der internen IT und externen Partnern planen, koordinieren und durchführen; Betrieb und Support für die gesamte Systemlandschaft inklusive Schnittstellen zu Umsystemen sicherstellen; Lösungen im Rahmen des Betriebs oder in Projekten (inkl. Dokumentation) erarbeiten
Requirements: Abgeschlossene Ausbildung im Bereich Informatik oder Wirtschaftsinformatik, Weiterbildung im Bereich Betriebswirtschaft oder Projektmanagement von Vorteil; Erfahrungen in der Schnittmenge zwischen integrierten Geschäftsprozessen, SAP-Basis Betrieb und IT-Infrastruktur; Teamplayer*in mit einer grossen Portion Neugierde ergänzt mit einem guten Gespür für Design, Usability und User Experience (UX); Offene ziel- und lösungsorientierte Persönlichkeit mit hohen Qualitätsansprüchen und Freude an kreativen und einfachen Lösungsansätzen; Stilsicheres Deutsch in Wort und Schrift, Französischkenntnisse von Vorteil

Duties: Sie arbeiten mit räumlichen und statistischen Daten sowie neusten Klimamodellen, um Klimaauswirkungen zu analysieren und fundierte Anpassungsmassnahmen und Strategien an den Schnittstellen zu Energie, Mobilität und Verhalten abzuleiten; Sie tragen dazu bei, unsere Modelle zu erweitern und zu verbessern und legen Wert auf die Qualität und Dokumentation Ihrer Modelle und Ergebnisse; Sie übernehmen Verantwortung für die Durchführung von Projektaufgaben und arbeiten zusammen mit Kolleg*innen an laufenden Forschungs- und Auftragsprojekten
Requirements: Als Ingenious Partner* zeichnet Sie aus: Abgeschlossenes technisches oder naturwissenschaftliches Studium (mindestens MSc.), vorzugsweise mit Planungs- und/oder Modellierungsbezug (z.B. Geoinformatik, Meteorologie, Raumplanung); Gutes Verständnis von stadtklimatischen Themen und Interaktionen in städtischen und regionalen Systemen; Erste Erfahrung in der Verwendung von Klimadaten und Mikroklimamodellen (zum Beispiel ENVI-met, Rhino/Grasshopper) von Vorteil; Interesse an Programmiersprachen (z.B. Python, R, oder vergleichbar); Kommunikations- und Teamfähigkeit; Sehr gute Sprachkenntnisse in Deutsch und Englisch in Wort & Schrift

Workload: 80-100%
Duties: Beraten der Organisationseinheiten bezüglich ihrer digitalen Transformationsvorhaben; Erheben der Kundenanforderungen sowie Unterstützen bei der Erstellung von Spezifikationen und Dokumentationen auf Basis der Kundenanforderungen; Analysieren der Geschäftsprozesse in der IST Situation und Transformation in ein neues Zielbild - durch Benchmarking, Process Mining oder komplett neuen Ansätzen; Bestimmen der geeigneten Umsetzungsinstrumente, bspw. Workflowmanagement-, Vorgangsmanagement- (Case Management), Servicemanagement-, iBPMS- oder RPA-Tools; Neugestalten und Vereinfachen unserer Arbeitsprozesse; Koordinieren und Steuern der Erfüllung der Kundenanforderungen; Kommunizieren mit internen und externen Interessensgruppen sowie Schulung von Personen, welche die Ergebnisse technisch umsetzen oder im Betrieb nutzen
Requirements: Erfolgsnachweis in der Prozessdigitalisierung, im Prozess Redesign, in der Automatisierung und/oder im Lean-Management; Kenntnisse der Möglichkeiten und Limitation von Umsetzungsinstrumenten; Ausgeprägte Business Orientierung und ganzheitliches und konzeptionelles Denken in einem heterogenen und z.T. agilen Umfeld; Umsetzungsorientierte, pragmatische Persönlichkeit mit einer «can-do» Mentalität und einer partnerschaftlichen, lösungsorientierten Arbeitsweise; Begeisterungsfähigkeit für die anspruchsvolle Neugestaltung und Vereinfachung unserer Arbeitsprozesse gepaart mit einer gesunde Portion Geduld, Durchhaltewille und Beharrlichkeit; Teamfähigkeit, kommunikatives Flair sowie sicheres Beratungs- und Überzeugungsvermögen in der Interaktion mit Stakeholdern sowie Kollegen und Kolleginnen aus den Fachbereichen und der ICT; Wirtschaftsinformatikstudium und/oder Weiterbildung in Business Process Engineering von Vorteil

Duties: Statistical analyses in line with moderation and mediation analyses using R; Examine a processed dataset of spellings for evidence of transfer effects from German to French and/or French to German
Requirements: Very good knowledge of statistical methods and interest in exploring data; Interest in language acquisition and transfer as well as learning; Very good command of English or German, the languages of communication in the research group; Some knowledge in German and French, the languages under study

Duties: Research on the integration of 5G NR with Non-Terrestrial Networks (NTN) focused on: MIMO, Beamforming, Precoding; Ultra-reliable and low-latency communications; Mobile edge computing; 5G and Health Regulations; Beyond-Line-Of-Sight control of 5G-assisted UAVs; Demonstration of SDR-based 5G-nodes prototypes; Opening his/her research line in synergy with the currents research projects
Requirements: A Ph.D. degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications; A proven record of accomplishment in the areas of Terrestrial Wireless Communications with a focus on physical layers of LTE and 5G NR; Knowledge of higher-layer signaling processes in LTE and 5G protocol

Duties: Im Rahmen des „Regionalen Zukunftszentrum Nord“ arbeitet das OFFIS - zusammen mit anderen norddeutschen Akteuren - am Aufbau eines Kompetenzzentrums zur Unterstützung von Unternehmen bei der digitalen Transformation und der Einführung von menschenzentrierter künstlicher Intelligenz. Sie beraten hierbei Partner und Unternehmen in technischen Fragen zu KI-Themen und erarbeiten mit den Projektpartnern Konzepte und Methoden, um dieses Wissen möglichst effizient den Mitarbeitenden eines Unternehmen zu vermitteln
Requirements: Abgeschlossener Master in Informatik oder einem informatiknahen Fachgebiet; Erfahrung im Bereich der Künstlichen Intelligenz (Algorithmen und Methoden); Interesse und Bereitschaft zur Einarbeitung in neue Digitalisierungstrends; Selbstständige und sorgfältige Arbeitsweise; Ausgeprägte Kommunikationsfähigkeit in Wort und Schrift; Sehr gute Deutschkenntnisse für direkte Abstimmungen mit den Industriepartnern

Workload: 80-100%
Duties: Fachlich kompetente und zuvorkommende Beratung unserer Kliniken und Zentren; Planung und Beschaffung von medizintechnischen Investitionsgütern; Projektleitung sowie Projektmitarbeit bei Beschaffungsprojekten der Kliniken; Betreuung und Weiterentwicklung von vernetzten medizintechnischen Applikationen und Systemen; Mitarbeit bei der Instandsetzung und -haltung von medizintechnischen Geräten
Requirements: Technische Grundausbildung sowie Studium/Weiterbildung mit Fachrichtung Medizintechnik, Systemtechnik, Elektronik, Mechatronik, Informatik oder Vergleichbares; Mehrjährige Berufserfahrung in der Projektleitung und -mitarbeit; Technische IT- und Netzwerkkenntnisse; Ausgeprägte analytische und konzeptionelle Fähigkeiten sowie selbstständige und initiative Arbeitsweise; Hohe Sozialkompetenz mit ausgeprägtem Dienstleistungsverhalten sowie Freude am Umgang mit Menschen und Technik

Duties: As a Java/Kubernetes Engineer in the Information Technology (IT) Department, Database Services (DB) group your main activities will consist of: Operation of production CERN Java applications, Oracle Restful Data Services (ORDS) deployed to Kubernetes (OpenStack Magnum); Maintenance and continuous developments of the Kubernetes based platform; Development of Apache Tomcat and Oracle WebLogic components like Docker images, monitoring, logging and authentication plugins; Provide advice and support of Tomcat, WebLogic as well as general Java web application design to developer communities. Share domain and technical expertise, providing technical mentorship and specific training to peers; Encourage adoptions of new cloud-based technologies among developers
Requirements: Master's degree or equivalent relevant experience in the field of information technologies or a related field. or a related field. Experience: The successful candidate should have demonstrated experience in the following fields: Operation of production Kubernetes environments supporting thousands of users; Extensive experience with Docker, Kubernetes and container orchestration engines with a focus on Java web applications deployments; Technical and troubleshooting skills with Linux and web components, especially load balancers, Ingress controller, HAProxy, Apache HTTPD or equivalent; Practical experience with Java application servers like Apache Tomcat, Oracle WebLogic server or WildFly; Practical knowledge of scripting languages like Python and Bash

Duties: Konzeption, Einführung, Weiterentwicklung und Betreuung der Systeme rund um das Thema digitale Zusammenarbeit, wie z. B. Kollaborationssystem, Intranet, Video- und Webkonferenzsysteme, Chatsysteme; Anforderungsmanagement: Bedarf und Wünsche der Fachbereiche Erheben, Spezifizieren und Prüfen als Schnittstelle zwischen Anwendern und der IT; Beratung und Schulung der Anwender für einen effizienten Einsatz der Systeme im Arbeitsalltag; Administration/Benutzerschutz und Betreuung bei technischen Fragen; Erfassung von Trends
Requirements: Erfolgreich abgeschlossenes BWL-Studium und Affinität zur IT oder mehrere Jahre Erfahrung bei den Aufgaben eines Business Analysten; Gute Kenntnisse über marktübliche Kommunikations-/Kollaborationstools oder dem starken Willen, sich diese schnell anzueignen; Geübter Umgang mit Standardbüroanwendungen wie z. B. PowerPoint, Word, Excel; Gute analytische und konzeptionelle Fähigkeiten, Kreativität und Spass an der Lösung komplexer Probleme; Starke Neigung zu projektorientierter Arbeit, verbunden mit einem hohen Mass an Kommunikations-und Teamfähigkeit