Duties: Conduct quantitative analyses for a variety of epidemiology and environmental health-based research project; Lead and contribute to the drafting, revising, and submission of research manuscripts for publication in peer-reviewed journals; Provide mentorship for graduate student trainees, undergraduate assistants, and other research staff; Support data management and other research activities within the lab
Requirements: Must hold a PhD or equivalent in epidemiology, biostatistics, or a related area (e.g., public health, demography, other quantitative sciences); Excellent academic record with evidence of strong research and writing experience; Strong quantitative research skills in data use (e.g., cleaning, linking, visualizations) as well as epidemiological and biostatistical analysis methods (e.g., cross-sectional and longitudinal regression analyses, multilevel modelling, time-series analyses, ecological modelling)

Department: Mathematics
Duties: We are seeking to appoint a Professor/Reader in Mathematical Epidemiology or Mathematical Public Health undertaking high impact research and teaching at the boundary of these two disciplines
Requirements: First degree and post-graduate qualification in a relevant discipline. Possession of a PhD in a relevant subject area or equivalent; Internationally-recognised and active researcher at the interface between predictive modelling and public-health epidemiology, with widely published and cited publications

Duties: Sie sorgen für eine umfassende und engagierte Betreuung der Produkte zur Einkommensabsicherung/Biometrie; Sie kümmern sich um bestehende Produkte und sichern durch marktorientierte Modifikation deren Zukunft; Sie entwickeln neue Produkte und erarbeiten hierfür Konzepte und Ideen; Sie planen zielgruppenspezifische Marketing-Massnahmen und unterstützen bei der Umsetzung von internen und externen Kommunikations- und Schulungsmassnahmen
Requirements: Sie sollten ein Studium der Betriebswirtschaft, Mathematik, Wirtschaftsrecht oder ein vergleichbares Studium mit Erfolg abgeschlossen haben; Optimalerweise können Sie mehrjährige einschlägige Berufserfahrung vorweisen; In jedem Fall setzen wir Verkaufs- und Vertriebsorientierung ebenso voraus wie den sicheren Umgang mit modernen Office-Programmen

Duties: Use statistical techniques and develop novel machine-learning models to generate insights related to the discovery data; Apply data mining to understand relationships between structure and compound properties; Present project outcomes to technical and non-technical audiences
Requirements: MSc in a quantitative field (statistics, data science, mathematics) or life sciences, preferably with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering); Strong understanding of statistics and experience with machine learning; Knowledge of Python and/or R

Duties: Eastern Oregon University (EOU) is seeking a dynamic full-time tenure- track teacher in Mathematics beginning in the fall of 2023
Requirements: Ph.D. in Mathematics, Applied Mathematics, Mathematics Education, Statistics or related degree from a regionally accredited institution or foreign equivalent is required. Evidence of successful experience teaching undergraduate mathematics courses both in person and online is required

Workload: 100%
Duties: The position is available within the “Multi-modal deep learning for biomarker discovery in mass spectrometry imaging data” project. In this research project, we aim at developing and applying machine learning methods, to associate mass spectrometry imaging data with clinical phenotypes to discover novel small molecule tissue biomarkers with characteristic spatial tissue distribution
Requirements: PhD in Computer Vision, Machine Learning, or a closely related field; A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualization; Strong programming skills in Python and C++, coupled with knowledge and experience in computer vision and machine learning frameworks, such as OpenCV, TensorFlow or PyTorch, and CUDA; A passion for applying ML research to real world problems

Duties: The Department of Accounting and Finance at Lancaster University Management School (LUMS) invites applications for PhD Position in Finance. The position combines enrolment into the full-time PhD Program in Finance and teaching-related duties in academic programs offered by the department. You will be working alongside world leading academics in a busy, exciting and innovative department. This post is part of LUMS efforts to further strengthen its academic standing as a world class business school
Requirements: We are interested in recruiting a candidate with research interests in financial econometrics, machine learning, sustainable finance, asset pricing, corporate finance, and other related fields of finance research

Duties: Develop experiments on droplet PIV measurements or investigate the droplet capillary flow in the fog net; Participate in planning and performing field work in Morocco; Develop independence and be self-driven to advance with their research project; Collaborate with theoreticians to combine experiments and theory; Work in an interdisciplinary team with expertise in mechanics, physics and biophysics; Follow our PhD program that includes an educational component
Requirements: Master’s degree or equivalent in mechanics, fluid mechanics, physics or applied mathematics; Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system; Excellent written and oral communication skills (English)

Duties: You will perform calculations of the best estimate liabilities and technical provisions for both Reinsurance and Corporate Solutions business for Solvency 2; You will provide support for Finance system transformation projects covering IFRS, local statutory valuation and Solvency 2; You will analyze and implement future changes to the regulatory framework of S2 coming from EIOPA or local regulators. This also means participating in industry-wide consultations for these regulatory changes; You will support and interact with appointed actuaries and actuarial function holders, legal entity CFO's and CROs; You will lead the preparation of actuarial function holder reports
Requirements: University degree in science or related subjects and you possess strong analytical and quantitative skills; Programming skills in R, Python or other related languages would be an advantage; Proficient level of English, any other major language (especially French) is considered as a plus

Duties: The Management Information Systems and Analytics department offer the opportunity for our students to develop an in-depth knowledge of analytics and perspectives of the best principles and practices within the 21st-century world of business. Expected to begin in Fall 2023, this position will be responsible for teaching undergraduate courses including Math Modeling in Business, Operations Management, and Business Analytics, and graduate courses including Data/Text Mining, Predictive Analytics, Prescriptive Analytics, and Big Data Analytics. Student advisement along with departmental, college, and university service is expected
Requirements: ABD or holds a Ph.D. in Business/Data Analytics, Operations Research, Industrial Engineering, Information Systems, or a related field at the time of appointment. ABD will be considered for appointment at a lesser (qualified) rank and salary, upon proof that the applicant’s defense of his/her dissertation will be scheduled within the first year of the appointment. A successful ABD applicant will receive promotion to the rank of Assistant Professor and a salary increment at the start of the semester following verification of the terminal degree completion. An ABD hire will be limited to a one-year appointment, subject to renewal for one year only (2 years maximum)

Duties: To analyse valuation models used and make change if required; Calculation of reserves under different reporting regimes: USGAAP, Market Consistent and statutory; To assist in reserve analyses, explanation and commentary; To suggest valuation assumptions for given line of business; To assist the team-lead in consolidation of regional level results and prepare summary packs for Reserving Committees
Requirements: Highly motivated professional with good progress towards actuarial fellowship exams; 5+ years of experience in reinsurance, life or health insurance products; Experience with market consistent valuation, Statutory basis and/or USGAAP an advantage

Duties: The Faculty of Agricultural, Life and Environmental Sciences (ALES) invites applications for an Assistant Professor tenure-track position in Applied Machine Learning (ML)/Artificial Intelligence (AI) in Land Use Science. Exceptional candidates may be considered for hiring at the rank of Associate Professor
Requirements: Candidates must hold a Ph.D. (or equivalent) in Agricultural, Forestry or Land Use Science with an emphasis on Machine Learning and/or Artificial Intelligence applications

Duties: We are looking for a talented student to be affiliated with one of the following research groups at the department: Algebra and Algebraic Geometry, Several Complex Variables, Geometry and Topology and Operator Algebras. The successful applicant must have research interests and background well aligned with the activity of at least one of these groups, and this should be described in the application
Requirements: Master’s degree or equivalent in Mathematics, on topics closely related to activities in the groups mentioned above; Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system; Fluent oral and written communication skills in English

Duties: Developing and supporting pipelines and analyzing various omics data (scRNA, scTCR, CITE-seq, bulk TCR) to support BioNTech's personalized neoantigen therapies; Investigation of new tools and approaches for NGS data analysis; Support of a data-driven design of mRNA vaccines for infectious diseases; Collaboration with diverse scientific teams (immunology, proteomics scientists, biochemistry) toward the goal of bringing new targets into the clinic; Supporting projects in a multifunctional team setting
Requirements: Minimum requirements; Bachelor’s or Master’s degree in computational biology, bioinformatics, or related fields; Experience working with and analyzing single-cell omics data, e.g., scRNA-seq, scTCR, and CITEseq; Experience with genomics data, for example neoantigen prediction, mutation calling, variant allele frequency analysis; Proficiency with Python or R

Duties: Collaborate closely with both the data analytics team and an assigned team within Annuity Solutions to understand their processes and decisions and propose how application of data analytics may positively influence decision-making; Gather data from established general data sources such as AnnuityHQ using Dataiku and SQL, consulting data experts, dictionaries, and self-designed check to affirm that the data is appropriate and relevant to the decision; Establish new data connections and refine existing data sources, through partnership with data experts across the enterprise, to amplify the potential for applying data analytics within Annuity Solutions
Requirements: 5+ years of actuarial experience with FSA or additional experience with ASA or equivalent; Ability to think critically and identify and solve potential challenges; Strong interpersonal and written communication skills

Duties: The PhD stipend will run a state of the art volcano aerosol chemistry-climate model, systematically varying eruption source parameters (i.e., volatiles, altitude, season) for past eruptions in the northern and southern hemisphere extratropics, to constrain the uncertain volcanic forcing and the climate and environmental response. Different initial ocean-sea ice states will be set-up, which are crucial for the model response. The model data will be analysed and compared with available and pilot paleo proxy data and with other available model runs. The climatic impacts will be assessed, both on the atmospheric and oceanic circulation
Requirements: Master’s degree or equivalent in Climate or Environmental Sciences or in related fields fulfilling the grade requirements; Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system; Candidates with research experience and background in volcano climate or climate modelling will be given priority

Duties: The position is mostly intended within the areas of stochastic analysis, stochastic calculus, stochastic control, optimal stopping, stochastic partial differential equations. These areas will be prioritized. The focus is on the development of original mathematical methods aimed at the modelling of complicated phenomena arising in applications both from natural and social sciences, this includes research within risk and control problems from engineering as well as from finance, energy finance, sustainable economics, insurance. To study such models, techniques from both deterministic and stochastic analysis as well as numerical analysis will be developed and used
Requirements: Master’s degree or equivalent in Mathematics; Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system; A documented background at Master level in one or more of the following areas: stochastic analysis, (stochastic partial) differential equations, numerical analysis, probability, and mathematical statistics

Duties: Begleitung der IT-Security Awareness Kampagne; Bearbeiten von IT-Security Incidents; Erkennen und bearbeiten von Phishing-E-Mails; Mitarbeit im Bereich IT-Forensik; Entwicklung von IT-Security Prozessen; Unterstützung in der Durchführung von IT-Security Projekten
Requirements: Laufendes Studium mit Schwerpunkt IT-Security, Wirtschaftsinformatik, Informatik oder ein vergleichbarer Studiengang (mind. 3 Bachelorsemester); Erste Einblicke in IT-Sicherheitsthemen von Vorteil; Selbstständige und strukturierte Arbeitsweise; Bereitschaft 20 Wochenstunden zu unterstützen (auch HomeOffice möglich)

Duties: Develops an expert opinion on the calculation methods and governance procedures embedded in various company models; Establishes effective working relationships throughout the organization, both at the corporate level and within the businesses; Assists in the calculation and implementation of risk appetite, which incorporates in-force and new business projections across a variety of market scenarios and business sensitivities; Participates or leads workgroups by evaluating issues and problems of strategic significance to Lincoln Financial Group, especially via risk appetite; Consults with Investments and Risk leaders on strategic and risk related issues and problems; Facilities model risk assessment discussions and analyses with risk groups throughout the organization
Requirements: Bachelor's degree is required, preferably in math, business or other quantitative field; FSA and/or Chartered Enterprise Risk Analyst designation; Advanced degree in financial engineering; PhD level degree in a quantitative field; FRM/PRM/CQF designations; CFA designation; 10+ years of financial analysis, engineering, capital markets, modeling, planning and forecasting

Duties: Position as PhD Research Fellow in Statistics available at the section for Statistics and Data Science, Department of Mathematics, University of Oslo
Requirements: Master’s degree or equivalent in Statistics (or related fields with proven statistical competence)

Duties: You will join a team of climate scientists at the University of Leeds to work on the new NERC StratClust project. You will work with Dr Amanda Maycock to investigate the impact of the strong stratospheric polar vortex in winter 2021/22 on observed surface weather and climate extremes. In particular, StratClust aims to investigate the role of the polar vortex in the extremely stormy period during February 2022. To achieve this, you will analyse subseasonal-to-seasonal hindcast datasets and bespoke simulations where stratospheric conditions are constrained to follow observations. You will work collaboratively with scientists at the UK Met Office who will conduct simulations for the project
Requirements: You will have, or be close to obtaining, a PhD in the field of Atmospheric, Ocean or Climate Science and have extensive experience of using models and observations to study weather and climate processes. You will have knowledge of atmospheric dynamics. You will have evidence of a strong commitment to publishing scientific results at an international level

Duties: Serve as the quantitative developer to build new capabilities and maintain existing code infrastructure of our Asset Liability Modeling platform; Partner with sector specialists, investment accounting, asset data & research teams to expand the company’s modeling capabilities, that includes a broad spectrum of the investment universe ranging from corporate bonds and structured products to alternative investment and derivatives; Research of new quantitative modeling methods for stochastic modeling of assets and liabilities with embedded optionality; Calibration and valuation of Stochastic at Risk measures related to Surplus and Free Surplus; Maintenance and enhanced automation of production processes, including generation of economic scenarios
Requirements: Excellent programming skills in objected oriented and procedural languages such as Python/MATLAB/R/C++/VB.Net/C#. Familiarity with both relational and object databases; Strong quantitative skills, with a degree in a technical field like Mathematics, Computer Science, or Financial Engineering. Advanced degree is a strong plus; 5+ years of experience building models, preferably targeted at financial instruments, insurance products or capital markets

Duties: The main activities of the post holder will be to lead and grow our portfolio of applied and methodology research focused on the use of biomarkers to predict health and economic outcomes and behaviours and enrich health econometric evaluation. The role will be developed as part of the expanding remit of the Leeds Biomedical Research Centre within and beyond its original Musculoskeletal Disease area of research translation
Requirements: We are particularly interested in candidates with an interest in applying modern predictive and econometric methods to leverage biomarkers and electronic health records for informing treatment decisions in routine practice

Duties: Develop and deploy AI models for large- and medium-scale ‘omics and/or imaging datasets; Work closely with drug development and clinical teams to address key scientific questions in translational oncology research using pre-clinical, clinical and real-world evidence datasets; Demonstrate value of machine learning techniques in the context of biomarker and target identification, patient selection and clinical trial design
Requirements: PhD in Machine Learning, Computer Science, Bioinformatics or a related field; At least 3 years’ experience working with deep learning frameworks (Pytorch/Keras/others), knowledge of architectures, limitations and pitfalls; Strong Python and R programming skills; Experience working with multi-modal patient data (‘omics as well as histology and clinical data), knowledge of biological sciences, preferably with regards to oncology

Duties: The section is seeking a highly dedicated and innovative researcher with the necessary qualifications for an associate professorship, specifically in the fields of geometry and topology (including algebraic topology, geometric topology, algebraic K-theory, motivic homotopy theory, differential geometry, and Floer homology)
Requirements: The successful applicant must have completed a PhD Mathematics and have a strong scientific track record within the area of geometry and topology. Expertise in the aforementioned subfields of geometry and topology is preferred, but is not required