Department: Civil, Environmental & Geomatic Engineering
Workload: 100%
Duties: The Research Fellow in Pipe Flow Fluid Structure Interaction Simulations will work on the EPSRC-funded project “Distributed Fibre-optic Cable Sensing For Buried Pipe Infrastructure”. The postholder will develop strategies to simulate deformation of compliant walls inside a pipe using the method of large-eddy simulation (LES), perform LES at the high-performance cluster at UCL, and will revise and improve fluid-structure interaction algorithms based on the findings. This will involve collaborating closely with the academic partners at University of Sheffield. The postholder will also contribute to the writing of journal and conference papers, to workshop and conference presentations, and to Departmental research, teaching and knowledge transfer activities as required
Minimum Requirements: The successful candidate will have a first degree in civil or mechanical engineering (or a related field) and a PhD in field related to computational fluid mechanics. Excellent knowledge of computational fluid mechanics, specifically LES and/or DNS, and experience of designing, conducting and analysing numerical simulations of turbulent flows, are essential. Excellent knowledge of and experience with Tecplot, Matlab, and/or Paraview, and an ability to work collaboratively and as part of a team in a research community are also essential. Experience with Finite Element Methods for structural calculations, and experience with analysing large-data set using statistical methods would be an advantage

                              

Department: UCL Geography
Duties: The Department of Geography at University College London is expanding its research and teaching initiatives in data science and related areas. To support this growth, the Department invites applications for the position of Lecturer/Associate Professor in Social Data Science. The Department encourages applications both from those trained in Quantitative Social Science (eg Quantitative Human Geography) and from those with expertise in fields such as Computational Social Science, Data Science, Statistics and Computer Science, who would welcome the opportunity to work in a Social Science Department. As well as carrying out research, the successful applicant will play a key role in developing a new MSc in Social and Geographic Data Science in Social and Geographic Data Science, which will bring together teaching on the technological, social and political aspects of social data
Minimum Requirements: The Department seeks applicants in a relevant field such as Computational Social Science, Quantitative human geography, Data Science, Statistics, or Computer Science; Applicants should demonstrate evidence of ability to undertake and publish internationally excellent research that enhance the Departments existing profile and interests. They must also demonstrate an aptitude for teaching at both undergraduate and graduate levels. The Department encourages applicants who have a track record of interdisciplinary collaboration and public engagement are particularly welcome

                              

Department: Computer Science
Duration: 3 y       
Workload: 100%
Duties: The project will take place at the Centre for Medical Image Computing within the Department of Computer Science at UCL, collaborating closely with the Department of Neuroinflammation and the Queen Square Institute of Neurology. The successful candidate will work on novel MRI acquisition and modelling methods to quantify water exchange across the blood brain barrier. Advanced MRI methods will be developed with the aid of optimisation via computational simulations
Minimum Requirements: Applicants should have a completed PhD, or close to obtaining a PhD, in the field of imaging physics or related imaging field. They should have experience of working in MRI physics or computational modelling of imaging signals and of scientific programming. Experience of neuroimaging methods such as diffusion MRI, contrast agent methods, relaxometry, magnetic resonance fingerprinting is desirable

                              

Department: UCL Institute of Ophthalmology
Duration: 2.5 y       
Workload: 100%
Duties: The successful applicant will support research on the development of visual perception and the impact of vision loss in patients of all ages. Their duties will include assisting with subject recruitment (i.e., schools, families, patients), arranging and managing visits to the lab and local schools, assisting with the development and running of specialist laboratory tests of visual cognition and performance (using custom-made computer tasks, eye movement recording, neuroimaging), and collecting data from children and adults with healthy vision and eye disease. The post holder will contribute to experimental design and task development, data collection and analysis, website and social media updating, database and data-storage maintenance manage software and equipment, coordinate lab meetings and journal clubs, help with scientific manuscript preparation, ethics applications, and present at national and international conferences
Minimum Requirements: Applicants should have excellent written and verbal communication skills, strong organisational skills, and be proficient in the use of computer software for handling data (e.g. Microsoft Excel), and have a BSc degree in science. Experience with working with children and/or patients in a hospital, educational or university setting is desirable. Whilst having performed some research and having basic knowledge of programming (e.g., in Matlab) and statistics (in SPSS or R) is also desired, full training will be provided where necessary. An interest in developing software/programming skills is essential. This post is an excellent starting point for a person wishing to develop a career in academia or related careers requiring software skills, analytical skills, and/or clinical experience

                              

Duties: Quantitatively and qualitatively modelling risk. Building new tools. Analysing data. Validating models. Mathematical modelling. Software development. Present solutions, write reports and gather work specifications on project. Build up skills and expertise that can be shared and leveraged within the firm
Minimum Requirements: Minimum Master’s or PhD in Physics, Mathematics, Financial Mathematics, Computer Science or any other related quantitative science with a high mathematical content and with excellent grades. English language proficiency. Possess significant IT knowledge coupled with strong programming skills. Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling. Ability to work well in a team. Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients. Work experience in trading, treasury or risk management may be an additional advantage

                              

Department: School of Management
Duration: 1+y       
Workload: part-time
Duties: We are seeking a Research Assistant with a strong quantitative background in statistics to support UCL School of Management faculty on a variety of research projects. The Research Assistant will work with several professors on different stages of research projects, including literature reviews, study design, data collection, data cleaning, and data analysis. The type of empirical data will vary from longitudinal survey data to experimental data
Minimum Requirements: The ideal candidate will have familiarity with advanced statistical techniques, as well as experience using Stata software. Previous coursework or experience in the social sciences (e.g., economics, management, sociology, psychology, epidemiology, or statistics) is preferred; The faculty have an additional need for skills in web-based programming (e.g. website design and development, experience with wordpress plug-ins, Qualtrics HTML). We are interested in hearing from applicants who have both statistical and web programming skills, as well as candidates who have only one of these skill-sets, in which case more than one research assistant may be hired

                              

Department: Arts and Sciences
Workload: 13%
Duties: This module, an interdisciplinary introduction to game theory - is a bridge between the world of mathematics and science and the world of the humanities and the social and historical sciences. Students are introduced to game theory as a descriptive tool that is not bound by the topics of any single discipline. The power of game theory as a descriptive theory has historically been enhanced by various disciplines, which over the years have contributed new solution concepts. The most influential discoveries made in philosophy, politics, economics, finance, war studies, biology, psychology, law and history will be discussed; As well as leading the module, the postholder will be responsible for recruiting PGTAs for the module, updating attendance registers, marking formative and summative assessments and attending departmental meetings
Minimum Requirements: Candidates must have a higher degree in the relevant field. They must also have experience in university teaching and assessment within this specific field of study; Depending upon experience, this appointment may also be made at Senior Teaching Fellow level

                              

Department: Dept of Medical Physics & Biomedical Engineering - Magnetic Resonance Imaging Group
Duration: 2+y       
Workload: 100%
Duties: develop quantitative susceptibility mapping (QSM) to measure oxygenation in Prostate Cancer and lead a study comparing QSM and histology in prostate cancer patients
Minimum Requirements: It is expected that the successful candidate would have a first degree in Physics, Maths or Engineering. Applicants must have a PhD, or be about to submit a PhD, in MRI Physics or a related subject. A strong background in MRI Physics and expertise in computer programming in high-level languages (e.g. Matlab, C/C, IDL or Python) are essential

                              

Duties: Tutoring in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics, Calculator Technical Assistance, GMAT & SAT, Others; you pay 150 CHF, Euro or US$ for your advert to appear on www.all-acad.com/Tutoring for one year

                              

Duties: Would you like to contribute your creativity to an international team of scientists from all disciplines focusing on basic research in the area of molecular life sciences?
Minimum Requirements: We invite candidates with background in Biology, Chemistry, Physics, Mathematics, Computer Science, Engineering and Molecular Medicine to apply

                              

Duration: 3 y
Duties: You will be a be a member of the EMBL-EBI Eukaryotic Annotation Team. Under the supervision of the Team Leader, will operationally lead our contribution to the Alliance of Genome Resource, WormBase, and WormBase ParaSite. You will work closely with peers at international partner sites to ensure that the overall goals of these projects are met. Your specific responsibilities will include: Management of a team of 5-7 bioinformaticians, developers and curators; Management of the development of genomics data analysis and integration pipelines for the Alliance of Genome Resources and WormBase; Leadership of the curation effort for the reference genome and annotation for C. elegans and selected other nematodes; Project management for the provision of parasitic worm genomics data via the Ensembl platform; Engagement with relevant scientific communities; Writing reports and scientific articles; Representing the project(s) at meetings and conferences
Minimum Requirements: You will ideally hold a PhD or equivalent in Molecular Biology, Bioinformatics or related field with demonstrated experience in model organism genomics. Applicants with a MSc and appropriate experience will also be considered; Broad knowledge of genomics and its application to the understanding of model organisms; Experience with genome annotation tools and workflows; Practical experience with using databases for modelling complex biological data (knowledge of graph databases will be considered a plus); Proficiency in at least one programming language (e.g. Perl or Python); Excellent written and verbal communication skills

                              

Department: Division of Surgery and Interventional Science - Research Department of Orthopaedics and Musculoskeletal Science
Duration: 9 m
Duties: will be working as part of a team to develop our smart wheelchair platform. You will primarily be working in ROS (robot operating system) to implement shared control strategies on a commercially available wheelchair that we have instrumented with a suite of sensors. You will be responsible for writing, testing, documenting and maintaining code
Minimum Requirements: The successful candidate must hold a degree in Engineering, Computer Science, Physics or equivalent experience. Technical writing and presentation skills (write documentation, specifications, operation manuals), experience in programme (C/C, Python or equivalent), experience in using or knowledge of version control systems (e.g. Git) and knowledge of mobile robotics (e.g. sensing, path planning, control, etc) are all essential

                              

Duties: Day to day operation of the capital setting process and internal model runs; Assist in the production of regulatory returns such as the LCR and PRA Risk Information templates; Liaise with key stakeholders including underwriting, exposure management, finance and operations to coordinate the capital setting process; Analyse and where necessary challenge output from Internal Model and work to identify reasons for changes in capital requirements; Support regulatory compliance and Solvency II initiatives, including Lloyd’s Minimum Standards, on-going development and maintenance of the validation process, governance, documentation, use test activities, Internal Model documentation and the ORSA
Minimum Requirements: Part qualified actuary with prior knowledge of capital modelling techniques with experience of the Lloyd’s market; Strong communication skills with ability to explain complex issues to non-actuarial staff; Strong understanding of Solvency II requirements; Strong ReMetrica experience, or failing that, Igloo; Excellent computer skills including MS Excel

                              

Duties: Our client is seeking a new Global Information Manager with strong technical skills to join their dynamic and exciting statistics and analytics team. The role focuses on people management, requiring someone to lead, coach and encourage the personal development of team members, the delivery of client projects (ongoing and ad-hoc) whilst maintaining statistical databases for over 180 countries, and furthering our own new and innovative data strategy
Minimum Requirements: Experience in people management with a drive to grow the professional and technical expertise of the team; Good understanding of data management concepts; Experience in interpreting insurance financial statements, understanding of insurance financial information, such as financial statements, company accounts, and other sector data. Understanding of wider insurance business information, such as economic data, demographic data, political events etc; Experience in analysing insurance financial data, such as company profit and loss results, balance sheets, underwriting statements, using industry knowledge; Advanced knowledge of MS Excel; Data Visualisation knowledge; Knowledge of BI tools (e.g. PowerBI); SQL knowledge

                              

Duties: Design and delivery of high quality financial crime reporting to improve operational financial crime activity, identify priorities for control enhancement and ensure reduction of financial loss. Technical expertise in data manipulation to increase fraud detection rates and undertake bespoke analysis to identify undetected fraud or control weaknesses. Reporting to Financial Insight Crime Manager
Minimum Requirements: Knowledge of fraud/financial crime risk management for both insider and external fraud preferable; Technical knowledge of general insurance across underwriting and claims and the metrics used by other business areas including Underwriting, Corporate Analysis, Operations and Claims; Technical data analysis skills (experience of intermediate/advanced MS Access, MS Excel, SQL, business objects, ACL/IDEA etc.); Track record of delivering high quality data analysis and reporting; Technical knowledge of insurance fraud, ‘Hunter’/‘SIRA’/‘CIFAS’ detection systems and i2 link charting advantageous

                              

Duties: Our client iscurrently looking for a Senior Actuarial Analyst based in our London office for a mixed Reserving/Pricing role within the Actuarial Motor team. The team are responsible for reserving, pricing, capital modelling, monitoring and forecasting of the company’s lines of business. You will be working closely with other departments, including Underwriting, Finance and Claims, therefore be a confident communicator and able to work well as part of a team
Minimum Requirements: A degree level mathematics/statistics or equivalent; Experience in reserving and/or pricing of general insurance lines ideally Motor based; Part/nearly qualified actuary with a minimum of 3 years of relevant work experience; A high level of understanding of modern actuarial and statistical modelling techniques is essential; Claims Reserving software, for example ResQ; Database and programming packages, for example SAS

                              

Duties: We are working with a leading UK direct insurer to find a Senior Claims Analyst to provide analytical and insight support to the Senior Claims management team, the Reserving function, the Technical Pricing team, the Finance department and the Operational Executive team

                              

Duties: The Senior Capital Analyst will support the Capital Manager who is responsible for partnering with the relevant parts of the business to address capital management questions and running our client’s capital integrated model to produce relevant output. The capital integrated model produces regulatory and economic capital numbers for risk carriers, business units and for the group as a whole in addition to providing information to support numerous business decisions
Minimum Requirements: Experience in the non-life insurance industry essential; Good understanding of the fundamental concepts of general insurance; Very strong analytical ability combined with a pragmatic and logical approach to problem-solving; Experience in using and interpreting results of capital models essential; Knowledge of internal model, regulatory standard formula and rating agency requirements; Making good progress towards achieving a relevant professional qualification such as Actuarial Exams or CII

                              

Duties: A fantastic opportunity has arisen for a Nearly or Newly qualified Actuary to join a leading Global Insurers life consulting team as a Business Change Actuary. This role delivers change across both local and global teams and works in collaboration with the Chief Life Actuary, Executives and Head Office
Minimum Requirements: Senior student or newly qualified fellow of IFoA, with two or more years’ experience of working in an life actuarial team, and some experience of working in an actuarial life assurance reporting team; Commercially aware with experience of the life insurance industry, including an understanding of the regulatory developments; Experience of reporting procedures, processes and operating controls for a robust delivery of reliable and accurate financial reporting to auditable standards; Good written communication skills

                              

Department: Department of Civil, Environmental and Geomatic Engineering
Duration: 4 y 100% or 6 y part-time
Duties: investigate how ventilation and movement of people contribute to the deposition of pathogens in the hospital environment. This project is a collaboration between UCL Civil, Environmental and Geomatic Engineering (UCL CEGE), and Great Ormond Street Hospital for Children (GOSH)
Minimum Requirements: honours degree (1st Class or 2: 1 minimum) in any of the following disciplines: Mechanical, Civil/Environmental, Chemical Engineering, Mathematics, Physics or a related discipline, and have a good grasp of fundamentals of fluid mechanics

                              

Duties: to generate evidence and develop value communications in the field of health economics covering disease burden, clinical trials, health-related quality of life and cost-effectiveness evaluations
Minimum Requirements: Minimum of three years’ experience in the field of HTA/SLR/HEOR ▪ Management of project budgets, timelines and resource requirements ▪ Proven ability to lead teams of scientists ▪ Proven breadth of experience across multiple project types and disease areas or depth/specialism in a discipline

                              

Duties: to lead a range of health economics and outcomes research projects
Minimum Requirements: Higher degree (PhD or MSc) in health economics or related discipline, or psychometrics ▪ Ability to work independently but also as part of a cross-functional team ▪ Strong knowledge of health economics and methodologies for the analysis of patient-reported outcomes (e.g. utility measurement, analysis and development of patient reported outcome measures, costing studies) ▪ Experience of designing and implementing health economics and/or PRO studies ▪ Good knowledge of HTA methods and processes

                              

Duties: to lead the development of health economic models and lead or support a range of health economics projects. The main responsibilities of the role include developing economic models and conducting health economics analyses. Additional responsibilities include: ▪ Internal and external day-to-day management of projects; ▪ Ability to work independently but also as part of a cross-functional team; ▪ Study design development and implementation across a variety of therapeutic areas; ▪ Drafting reports and contributing to HTA submissions; ▪ Client management
Minimum Requirements: Higher degree (PhD or MSc) in health economics, economic modelling or related discipline ▪ Strong knowledge of decision analytic modelling, including a range of modelling approaches ▪ Good knowledge of health economics and HTA methodologies and processes ▪ Significant experience of developing health economic models for HTA purposes: conceptualisation, design and implementation ▪ A strong understanding of the global payer environment, including coverage and reimbursement and pricing

                              

Duties: The Head of Economic Modelling will be a key member of our senior management team and will lead our growing team of talented economic modellers. The successful candidate will have proven project and people leadership skills and extensive experience in developing health economic models for health technology assessment (HTA)
Minimum Requirements: Higher degree (PhD or MSc) in health economics, economic modelling or related discipline ▪ Excellent or substantial knowledge of decision analytic modelling, including a range of modelling approaches ▪ Substantial experience of developing health economic models for HTA purposes: conceptualisation, design and implementation ▪ Nationally or internationally recognised as an expert in health economic modelling: a role model for the PHMR modelling team (for the Director level only) ▪ Strong or excellent knowledge of a range of health economics methodologies (e.g. utility measurement, clinical trial design, resource use measurement) ▪ Strong or excellent knowledge of HTA methodologies and processes

                              

Department: Department of Civil, Environmental and Geomatic Engineering
Duration: 4 y
Duties: three broad areas of research: engineered and engineering systems resilience; sustainable innovation toward zero harm; and anticipatory infrastructure services leveraging next generation technologies for real-time, autonomous decision making. These research topics provide opportunities to examine current and future infrastructures from a trans-disciplinary and complex systems perspective. You will gain experience of using mixed methods leveraging both quantitative and qualitative data and you will extend your modelling skills to include novel mechanisms for knowledge identification and autonomy. Multiple social, environmental and economic impacts are possible from these research topics, such as reducing poverty due to lack of infrastructure services (e.g. mobility, heating); improving air quality; and maintaining service provision despite weather extremes
Minimum Requirements: 1st class or upper 2nd class bachelors or a masters degree in engineering, physics, maths or computer science