Duties: The applicant will initially lead on projects building a UK-wide linked cohort of patients with asthma using data from UK Trusted Research Environments; this work will be piloted in Northern Ireland and will then be expanded to cover other UK nations. This linked data will create a unique resource and will be used for both retrospective and prospective research projects. In parallel, similar linkage will be advance in other disease areas in collaboration with UK Partners in the DP2 programme, with opportunities to lead on specific research programmes in this area
Requirements: Have a relevant PhD in epidemiology, applied mathematics/statistics or related discipline; Substantial relevant experience in quantitative research; Substantial experience of using statistical packages such as STATA to conduct reproducible research

Duties: We are seeking to appoint a Research Associate (Level B) in Ocean Modelling in the Institute for Marine and Antarctic Studies, which is part of College of Sciences and Engineering at the University of Tasmania. This initial fixed term contract will be for three years with funding available for an extension up to the seven year life of the Centre
Requirements: A PhD or equivalent in fluid dynamics, physical oceanography, atmospheric science, applied mathematics or an equivalent field; Demonstrable knowledge of ocean processes and/or air-sea coupling; Demonstrable knowledge of developing/configuring/running ocean and/or coupled climate models

Duties: Research in the subject area of the announcement, including the development of deep neural networks for the analysis of medical data within ongoing research projects. Teaching at the undergraduate, advanced, and doctoral levels (up to 20% of full-time). Supervision doctoral students and master thesis work. Assisting in seeking external research funding. Collaboration with industry and society within ongoing research projects. Administrative tasks related to the above responsibilities are included. Opportunities for participation in higher education pedagogical competence development will be provided
Requirements: You have a doctoral degree in mathematics; You have excellent proficiency in English, both spoken and written; You have extensive experience in research involving the application of machine learning methods and deep neural networks to medical image data; You have documented experience in collaboration with physicians or other researchers in medicine or with clinical staff; Experience in supervising thesis projects and doctoral students; You have significant experience with development environments for deep neural networks such as TensorFlow, Keras, PyTorch, or similar

Duties: Research in Mathematics Education; Recherche im Bereich der Didaktik der Mathematik, mit besonderer Sorgfalt auf den folgenden Aspekten: a) Digitale Praxisgemeinschaften für Mathematiklehrer); b) Dynamische Geometrie-Software; c) Inklusives Mathematik lernen
Requirements: Experienced researcher or 4-10 yrs (Post-Doc)

Duties: The School embodies a broad range of research interests in the areas of applied mathematics, pure mathematics, statistics, and data science. It has particular research strengths in Algebra, Analysis, Number Theory, Bayesian and Monte Carlo Methods, Biomathematics, Biostatistics and Ecology, Combinatorics, Computational Mathematics, Data Science, Dynamical Systems and Integrability, Finance and Risk Analysis, Fractional Calculus, Functional and Harmonic Analysis, Geometry and Mathematical Physics, Nonparametric Statistics, Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, and Stochastic Modelling
Requirements: A PhD in a related discipline, and/or relevant work experience; Proven commitment to proactively keeping up to date with discipline knowledge and developments; Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision

Duties: You will be responsible for undertaking advanced academic study to underpin lectures and class teaching as well as lecture, tutor, (conduct practical classes using laboratory or workshop equipment), and supervise undergraduate and postgraduate students. You will be tasked with managing independent research projects or specific areas of research within a broad programme, to include: developing research questions within a specific context; conducting original research; analysing qualitative and/or quantitative data from a variety of sources, and developing appropriate analytical protocols and techniques to support research. You will also be responsible for liaising with examiners and academic staff regarding student performance and the development of new modules, and with funding bodies, stakeholders, and researchers in related fields to share information and expertise
Requirements: To be successful in this role, you will hold a relevant DPhil degree in a topic related to global health modelling, together with post-qualification experience. You will have expertise in infectious disease modelling and analytical techniques and demonstrate an interest in modelling for global health, and you will have experience with developing and delivering teaching as well as sufficient depth and breadth of knowledge in infectious disease modelling to develop course units

Duties: Research in the field of the third-cycle studies (PhD studies) in mathematics/applied mathematics, institutional duties, which may include: teaching at undergraduate and advanced level in mathematics/applied mathematics, which may involve teaching at the university's two campus locations, Västerås and Eskilstuna, as well as distance teaching. Supervision and co-supervision at undergraduate and advanced level may also be relevant for the position; administration (e.g. course responsibility or program coordination) and development
Requirements: A degree at an advanced level

Duties: As a Research Assistant in Epidemiology and Health Data Sciences you will support the analysis and management for studies on our portfolio using routinely collected data mapped to the OMOP Common Data Model. You will contribute to the development of study documentation for our studies, you will use R packages to run a number of pre-specified analyses and you will conduct and support research activities based on your relevant expertise area. You will contribute to publications, scientific reports and journal articles as well as the presentation of data/papers at conferences and other scientific meetings
Requirements: You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses, preferably in R and experience in writing scientific documents, e.g. study reports, manuscripts are essential. As are ability to work within multi-disciplinary teams and independently, good communication skills and excellent team working skills. Experience in the analysis or interpretation of OMOP-mapped data, experience in working with electronic medical records/routinely collected/real world data and experience in generating phenotypes are desirable

Duties: At QGG, we are leading research on genetic analysis and breeding value estimation, particularly focusing on feed efficiency and climate-related traits in dairy cattle. Our ongoing projects aim to integrate these crucial traits into routine genetic evaluations for improved breeding outcomes. The primary responsibility of the selected candidate will involve conducting genetic analyses of feed efficiency data to estimate breeding values, thereby enhancing the breeding goals for dairy cattle. Working collaboratively within our team and with external research partners, the candidate will contribute to ongoing projects focused on feed efficiency and methane emission traits in dairy cattle
Requirements: Ph.D. degree in quantitative genetics, animal breeding, statistics, or a related field; Proficiency in statistical analysis of genetic data related to feed efficiency in dairy cattle and the ability to develop new genetic models; Experience with one or more scripting languages, such as R, Python, or Perl; Involvement in international networks engaged in dairy cattle efficiency research will be advantageous; A strong work ethic and the de

Duration: permanent
Duties: Professorship in Statistical Sciences
Requirements: More Experienced researcher or >10 yrs (Senior)

Duties: The numerical simulation and visualization of volume deformations constitute an active research domain, characterized by numerous open challenges and opportunities. From materials science to engineering applications such as fluid dynamics and medical imaging, the simulation and visualization of volume deformations are essential. The research group Simulations at UiT is offering a PhD position aimed at delving into these complexities. The PhD project consists of the following key aspects. First, it involves investigating volume representation methods, particularly in materials science. This exploration extends to diverse applications, including the simulation and analysis of composite materials and the dynamics of crack propagation
Requirements: This position requires a master’s degree or equivalent in applied computer science or engineering design, with a completed master’s thesis on a relevant topic and any other requirements. If you are near completion of your master’s degree, you may still apply. In addition, knowledge and experience in the following fields are desirable: Algorithms and programming; Computational geometry; Image registration; Digital volume correlation; Material science CAD/CAM software; Artificial intelligence and machine learning methods

Duties: Undertake all statistical tasks for the projects associated to the position, including data management and manipulation, data analysis, and preparation of statistical result reports; Collaborate in enhancing the quality of the statistical aspects of the projects; Foster and maintain sound working relationships and effective communication with the chief investigators and researchers involved in the various projects; Stay abreast of modern biostatistical methods relevant to the specific projects funding the position
Requirements: Master’s/PhD degree in Biostatistics or Statistics; alternatively, a PhD in Epidemiology with strong quantitative component; Proven comprehensive understanding of biostatistical methodology; Experience or extensive experience as an applied biostatistician, evidenced by publications, conference papers, reports, or technical contributions in the health sciences

Duties: The main aim of the project the post-holder will join is to develop, improve and apply models for improving situational awareness and informing data collection in outbreaks via data analysis and forecasting. Including systematic assessment of the predictive ability of any forecasts made, and whether the inclusion of individual, spatial, behavioural or genetic data can improve them. There is considerable freedom for work within the aims of the project and scope for the development and use of state-of-the-art methodology and computation with direct impact on public health
Requirements: The successful applicant will have a postgraduate degree, ideally a doctoral degree in a quantitative discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language for mathematical or statistical modelling, including some experience with R, and be committed to open research and/or software development. Experience in outbreak analysis or model-based forecasting is an advantage

Duties: You will have the opportunity to carry out academic research in an English-speaking environment. The focus of our group is on central banking, financial market and bank regulation, and the economics of banking. Teaching duties may be carried out in German or English; PhD position: The position will entail a performance review after one year after which the position can be extended to a total of 4 years; Postdoc position: The position is initially issued for two years, after which a performance review will decide on a further extension
Requirements: For the PhD position, you hold a Masters degree in Economics, Finance, Mathematics, Engineering, or a related field. For the PostDoc position you hold a PhD in Economics or Finance or a closely related field. You have good knowledge in programming in R or Python or other languages. You are fluent in written and spoken English. Knowledge of German is not a formal requirement but an asset

Department: Engineering; Aerospace Engineering
Duties: In the framework of the research activities for space surveillance and space debris observation and cataloguing, it is of key importance to comprehend and simulate in-orbit fragmentation events. Observation data need to be integrated, in particular for sub-cm size classes, by fragmentation models capable to represent the complexity of such events. The research activity will focus on the implementation and optimization of codes for numerical simulations and on their validation with observation and/or experimental data. The research fellow will be in support to the experimental activities related to fragmentation studies; ing-ind/05 - impianti e sistemi aerospaziali
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: Procedure selettive per la chiamata di n. 7 Professori di prima fascia
Requirements: Attività didattica in Informatica, in qualunque corso di laurea in corsi sia di base che di tipo avanzato. Ricerca scientifica in Informatica. Partecipazione all'organizzazione delle attività scientifiche, didattiche e dipartimentali

Workload: 80-100%
Duties: Assist the Property underwriters in pricing and Nat Cat modelling of European treaty reinsurance, with a focus on the peak treaty renewal period at the end of the year; Quantitative analysis of client claims information, exposures and portfolios; Support annual portfolio accumulation process with our pricing actuaries; Participate actively in Munich Re Group internal and external Nat Cat and pricing projects
Requirements: University degree in quantitative field or natural sciences; Good analytical skills and a flair for numbers; Advanced user of Microsoft Office (especially Excel); Experience in statistics and probabilistic modelling; Knowledge in natural hazards and/or Nat Cat Modelling would be a plus; Programming experience desirable (R, Python, SQL, Excel power tools)

Duration: 6 m       
Workload: 100%
Duties: Wirke bei der Konzeption und Entwicklung von Lösungen und Produkten für die Datenanalyse, -berichterstattung und -visualisierung im Bereich Audit und Assurance mit; Erkenne, Erörtere und Untersuche die herausfordernde Geschäftsprobleme von unseren Kund*innen und Wirtschaftsprüfer*innen; Erhalte Einblicke in verschiedene Geschäftsprozesse, IT-Systeme und Datenmodelle unserer nationalen und internationalen Kunden; Unterstütze unser Team bei der Integration unserer Lösungen in bestehende Geschäftsprozesse unserer Kunden; Interagiere mit Kunden verschiedener Branchen und Funktionsbereichen (Marketing, Vertrieb, Betrieb, Finanzen)
Requirements: Mindestens zwei abgeschlossene Semester in einer wirtschaftlichen oder technischen Studienrichtung; Grosses Interesse an der Analyse und Bewertung von Geschäftsdaten, IT-Umgebungen und Business-Prozessen; Wille, dir einen fundierten Einblick in die vielfältige Datenwelt unserer nationalen und internationalen Kundschaft zu erarbeiten; Ausgeprägte Eigeninitiative, gute analytische Fähigkeiten mit Anspruch auf höchste Qualitätsstandards; Erste relevante Berufserfahrung von Vorteil; Fliessende Deutsch- und Englischkenntnisse

Duties: The Department of Mathematics and Statistics at Skidmore College invites applications for a full-time Visiting Assistant Professor or Visiting Lecturer for the 2024-25 academic year. This is a one-year position. The position involves teaching 18 contact hours per year, which is typically a 3: 2 course load
Requirements: A doctorate (or ABD status) in statistics, biostatistics, or a closely related field is required for the Visiting Assistant Professor position. A master’s degree in statistics, biostatistics, or a closely related field is required for the Visiting Lecturer position. Preference will be given to candidates with teaching experience. The successful candidate will be able to teach entry-level courses in our statistics curriculum, including our introductory statistics and statistical methods courses

Duties: As a comprehensive university offering a wide range of high-quality educational opportunities, the University of Basel attracts students from Switzerland and the entire world, offering them outstanding studying conditions as they work towards their bachelor’s, master’s or PhD degrees. Today, the University of Basel has around 13000 students from over a hundred nations, including 3000 PhD students. The University of Basel has seven faculties covering a wide spectrum of academic disciplines. In international rankings, the University of Basel is regularly placed among the 100 top universities in the world thanks to its research achievements
Requirements: We crawl all higher jobs in research, teaching and administration at Universität Basel automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: Developing and training machine learning (ML) models capable of accurately reproducing the complex PES of perovskites, including the parts responsible for long-range ion transport; Publication of articles in scientific papers and giving talks at international conferences
Requirements: A Ph.D. degree in Data Science and Machine Learning, Physics, or Chemistry; Knowledge of Machine Learning methods and methods of Computational Chemistry; Strong skills in coding and employing HPC facilities; Fluent written and verbal communication skills in English

Duties: Post-quantum security of proof systems; Generalization to Quantum Proof Systems; Participate in teaching tasks and Ph.D. and M.Sc. student supervisions; Collaboration with writing progress reports
Requirements: A Ph.D. degree in Computer Science, Mathematics with the focus on Cryptography and its intersection with Quantum Computation & Information; Experience working on computational assumptions, which are believed to be quantum-secure, is a plus; Experience working on quantum-secure proof systems is a plus; Competitive research record in cryptography or Quantum Computation & Information

Duties: Entwicklung und Weiterentwicklung von innovativen Versicherungsprodukten der Lebens- und; Sachsparte mit einem Fokus auf Versicherungsdokumente; Mitarbeit in einem crossfunktionalen, agil arbeitenden Team (ADU), die Aufgabensteuerung erfolgt zeitgemäss durch das Framework SAFe; Zusammenarbeit mit Jurist: innen und weiteren Expert: innen; Aufbau von tiefem Produkt-Know-How, um übergreifende Fragestellungen beantworten zu können und sicherzustellen, dass regulatorische Anforderungen erfüllt werden; Erstellung von Forecast- und Planungsrechnungen sowie Zulieferung von Daten zu Quartals- und Jahresabschlüssen
Requirements: Abgeschlossenes Studium der (Wirtschafts-)Mathematik oder ähnliche Qualifikationen; Kenntnisse auf den Gebieten der Versicherungs-/Finanzwirtschaft und Motivation zur aktuariellen Weiterbildung (DAV-Mitgliedschaft vorhanden oder angestrebt); Interesse an juristischen Fragestellungen aus Produktsicht; Schnelle Auffassungsgabe, sehr gute analytische Fähigkeiten, strukturiertes Arbeiten und Durchsetzungsvermögen; Spass und Motivation an Arbeit im agilen Umfeld in Verbindung mit Teamfähigkeit; Selbständigkeit, Initiative sowie Einsatzbereitschaft und Verantwortungsbewusstsein; Souveräner Umgang mit MS Office (Fokus Excel); Sehr gute Deutschkenntnisse mit Freude an der präzisen Anwendung der Sprache

Duties: The successful candidate will have the opportunity to pursue a Ph.D. in Computer Science in the context of secure and privacy information extraction and processing, in the context of navigation of robots in indoor environments. The candidate will be required to perform the following tasks: Contribute to the project's success; Carry out research in the field of secure and privacy information extraction and processing; Disseminate results through scientific publications; Present results in well-known international conferences and workshops
Requirements: Master’s degree in Computer Science, Applied Mathematics, or, any related field; Programming skills, e.g., Python, C++, etc

Duties: Research and build high-impact end-to-end machine learning systems for customer growth; Drive the design of scalable ML solutions in production; Coordinate the work of applied scientists and machine learning engineers providing research guidance and mentorship; Promote and role-model best practices of data science, engineering, and communication throughout the organization; Mentor engineers and data scientists across the org; Navigate existing ML and AI research and apply it to solve business problems
Requirements: M.S or B.S.in a Computer Science/Statistics/Data Science or related field; 10+ years of building products with Machine Learning and Personalization; Deep understanding of statistics and ML and AI fundamentals; Deep knowledge in multiple ML methodologies, such as LLMs, Foundation Models, Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization