Deadline: January 31, 2020 | Published: January 18, 2020 06:34
Department: UCL Great Ormond Street Institute of Child Health - Population, Policy and Practice Programme
Duration: 3 y
Workload: 100%
Duties: The post holder will be taking forward national observational studies of children diagnosed with uveitis, working as part of a small study team. S/he will have primary responsibility for day-to-day study administration and data collection, perform quantitative research analyses, write scientific reports and support the dissemination of findings from the studies
Minimum Requirements: The postholder must have an undergraduate degree in a relevant health-related discipline, and ideally a Masters degree in epidemiology, statistics or another relevant subject. S/he must have a strong understanding of quantitative research techniques, as well as demonstrable experience of managing research projects, quantitative data analysis and writing up research findings in scientific reports to a high standard. An interest in childrens health and disorders is essential. The successful candidate must have good IT, organisational, administrative and communication skills
Duration: 3 y
Workload: 100%
Duties: The post holder will be taking forward national observational studies of children diagnosed with uveitis, working as part of a small study team. S/he will have primary responsibility for day-to-day study administration and data collection, perform quantitative research analyses, write scientific reports and support the dissemination of findings from the studies
Minimum Requirements: The postholder must have an undergraduate degree in a relevant health-related discipline, and ideally a Masters degree in epidemiology, statistics or another relevant subject. S/he must have a strong understanding of quantitative research techniques, as well as demonstrable experience of managing research projects, quantitative data analysis and writing up research findings in scientific reports to a high standard. An interest in childrens health and disorders is essential. The successful candidate must have good IT, organisational, administrative and communication skills
Deadline: February 2, 2020 | Published: January 17, 2020 12:35
Department: Information Services Division
Workload: 100%
Duties: We are recruiting to a new post, initially funded by Health Data Research (HDR) UK, for someone to lead UCL’s work enabling analysis of the massive sensitive datasets that increasingly are core to health data research. Your work will focus on helping researchers to make the most effective use of the resources available at UCL and elsewhere, for instance helping them prepare their data for analysis, developing new software, or scaling their existing software. This may involve any aspects of data science and AI, from statistics and visualization, through to machine learning and deep learning. You will also be responsible for designing the next generations of our services for health data research, liaising with colleagues across UCL, our partners and HDR UK to ensure our systems and tools are fit for purpose
Minimum Requirements: It is essential that you have either a PhD degree in a computationally based field, or equivalent professional experience. You have a strong understanding of best practices for research software engineering and can lead others to adopt them and stick to them. You can rapidly acquire fluent knowledge of new programming languages, libraries and platforms, and are keen to expand your skills; We are committed to flexible working to support a healthy work-life balance, and can consider both informal and formal arrangements
Workload: 100%
Duties: We are recruiting to a new post, initially funded by Health Data Research (HDR) UK, for someone to lead UCL’s work enabling analysis of the massive sensitive datasets that increasingly are core to health data research. Your work will focus on helping researchers to make the most effective use of the resources available at UCL and elsewhere, for instance helping them prepare their data for analysis, developing new software, or scaling their existing software. This may involve any aspects of data science and AI, from statistics and visualization, through to machine learning and deep learning. You will also be responsible for designing the next generations of our services for health data research, liaising with colleagues across UCL, our partners and HDR UK to ensure our systems and tools are fit for purpose
Minimum Requirements: It is essential that you have either a PhD degree in a computationally based field, or equivalent professional experience. You have a strong understanding of best practices for research software engineering and can lead others to adopt them and stick to them. You can rapidly acquire fluent knowledge of new programming languages, libraries and platforms, and are keen to expand your skills; We are committed to flexible working to support a healthy work-life balance, and can consider both informal and formal arrangements
Published: January 17, 2020 11:42
Workload: 100%
Duties: We’re looking for a passionate Catastrophe Modeller or Exposure Manager to work on and design flood models. You must be skilled in development, writing code, and model validation
Minimum Requirements: 2-6 years proven experience of flood modelling including model validation; Excellent technical skills; Experience with research and development; Excel in advisory or consulting; Good organisational and project management skills, including leading a range of project type; The ability to work independently and as part of a team; An experienced mentor to support the technical development of team members; Excellent written and verbal communication skills to communicate technical concepts to technical and non-technical audiences; A proven record of working under pressure and delivering to deadlines; Excellent technical skills
Duties: We’re looking for a passionate Catastrophe Modeller or Exposure Manager to work on and design flood models. You must be skilled in development, writing code, and model validation
Minimum Requirements: 2-6 years proven experience of flood modelling including model validation; Excellent technical skills; Experience with research and development; Excel in advisory or consulting; Good organisational and project management skills, including leading a range of project type; The ability to work independently and as part of a team; An experienced mentor to support the technical development of team members; Excellent written and verbal communication skills to communicate technical concepts to technical and non-technical audiences; A proven record of working under pressure and delivering to deadlines; Excellent technical skills
Deadline: February 29, 2020 | Published: January 15, 2020 13:49
Department: Gatsby Computational Neuroscience Unit
Duties: We especially seek candidates whose work addresses fundamental problems in the areas of probabilistic or statistical machine learning. However, Unit faculty have freedom to pursue and develop their own lines of research subject to the success of their research endeavours and compatibility with the overall needs and research aims of the Unit. Collaboration within and outside the Unit is essential and supported through the provision of a generous annual travel allowance to support conference, workshop and collaborative research visits
Minimum Requirements: A very strong analytical background in machine learning, mathematics, physics, computer science, statistics and/or engineering. Faculty members are expected to have a detailed knowledge and understanding of the literature in their appointed research fields, be proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques in the service of research goals
Duties: We especially seek candidates whose work addresses fundamental problems in the areas of probabilistic or statistical machine learning. However, Unit faculty have freedom to pursue and develop their own lines of research subject to the success of their research endeavours and compatibility with the overall needs and research aims of the Unit. Collaboration within and outside the Unit is essential and supported through the provision of a generous annual travel allowance to support conference, workshop and collaborative research visits
Minimum Requirements: A very strong analytical background in machine learning, mathematics, physics, computer science, statistics and/or engineering. Faculty members are expected to have a detailed knowledge and understanding of the literature in their appointed research fields, be proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques in the service of research goals
Deadline: February 25, 2020 | Published: January 15, 2020 13:18
Duration: 6 m
Duties: A trainee position is available to join the Polygenic Score Catalog (PGS Catalog) team at the European Bioinformatics Institute (EMBL-EBI). This trainee position will offer the opportunity to learn about and gain practical experience in the extraction of detailed scientific information from published scientific papers into the PGS Catalog.The trainee will also learn about the process of developing a foundational resource to make available data to the scientific community. The trainee will work closely with members of the GWAS Catalog team, benefiting from their knowledge and experience in this area; The intern will work within a team of Scientific Curators at the EMBL-EBI and with other members of the PGSCatalog team based at the Wellcome Trust Sanger Institute and University of Cambridge, supported by Health Data Research UK (HDR-UK). Objectives: Contributing to the extractionand curation of information from published scientific papers for inclusion in the PGS Catalog; Working with EM...
Minimum Requirements: Applicants should have a degree in genetics, biological sciences, (bio)statistics, epidemiology or a related discipline. They should have an in-depth understanding and interest in genetic variation and genomics, with the ability to apply this knowledge in the understanding of scientific research articles. The post holder must show strong self motivation to work both independently and as part of a closely interacting team of international scientists. Skill in delivering a high quality product with attention to detail and within fixed deadlines is essential; Excellent communication and interpersonal skills are a prerequisite
Duties: A trainee position is available to join the Polygenic Score Catalog (PGS Catalog) team at the European Bioinformatics Institute (EMBL-EBI). This trainee position will offer the opportunity to learn about and gain practical experience in the extraction of detailed scientific information from published scientific papers into the PGS Catalog.The trainee will also learn about the process of developing a foundational resource to make available data to the scientific community. The trainee will work closely with members of the GWAS Catalog team, benefiting from their knowledge and experience in this area; The intern will work within a team of Scientific Curators at the EMBL-EBI and with other members of the PGSCatalog team based at the Wellcome Trust Sanger Institute and University of Cambridge, supported by Health Data Research UK (HDR-UK). Objectives: Contributing to the extractionand curation of information from published scientific papers for inclusion in the PGS Catalog; Working with EM...
Minimum Requirements: Applicants should have a degree in genetics, biological sciences, (bio)statistics, epidemiology or a related discipline. They should have an in-depth understanding and interest in genetic variation and genomics, with the ability to apply this knowledge in the understanding of scientific research articles. The post holder must show strong self motivation to work both independently and as part of a closely interacting team of international scientists. Skill in delivering a high quality product with attention to detail and within fixed deadlines is essential; Excellent communication and interpersonal skills are a prerequisite
European Organization for Nuclear Research (CERN); Genève, Belgium, Switzerland, Germany, Finland, France, Netherlands, Sweden, United Kingdom
Deadline: January 31, 2020 | Published: January 14, 2020 11:17
Duties: Welcome to the Marie Sklodowska-Curie Actions As a recent graduate from university or advanced technical institute, you’re no doubt looking for the chance to make your mark. Here it is: we seek lively and inquiring minds with a heightened sense of curiosity to take part in projects of advanced development work, in a broad range of applied sciences and engineering fields. Marie Sklodowska-Curie Actions train young researchers, building the careers of tomorrow’s leaders in research and industry. What could be a better boost for your career than becoming an Early Career Stage Researcher in an Innovative Training Networks project within the framework of the prestigious Marie Sklodowska-Curie programmes?
Minimum Requirements: In order to qualify for a place on the project you will need to meet the following requirements: At the time of recruitment: be in possession of a university degree (MSc) allowing you to embark on a doctorate (candidates who are currently studying for their MSc may apply if they will finish before October 2020, however, the LISA contract cannot begin until the MSc is completed); have a maximum of 4 years of full-time relevant experience, after obtaining your degree (MSc); You cannot be in possession of a PhD; Mobility rule: at the contract start date you must not have resided in the country of the host organization (see host countries of ESR positions above) for 12 months or more in the last 36 months; In the application you may select up to 3 positions of interest. Please make sure that you satisfy the mobility requirements for each of your selected ESR positions. Details of all 15 PhD positions; Candidates of any nationality can apply; Proficiency in English is required
Minimum Requirements: In order to qualify for a place on the project you will need to meet the following requirements: At the time of recruitment: be in possession of a university degree (MSc) allowing you to embark on a doctorate (candidates who are currently studying for their MSc may apply if they will finish before October 2020, however, the LISA contract cannot begin until the MSc is completed); have a maximum of 4 years of full-time relevant experience, after obtaining your degree (MSc); You cannot be in possession of a PhD; Mobility rule: at the contract start date you must not have resided in the country of the host organization (see host countries of ESR positions above) for 12 months or more in the last 36 months; In the application you may select up to 3 positions of interest. Please make sure that you satisfy the mobility requirements for each of your selected ESR positions. Details of all 15 PhD positions; Candidates of any nationality can apply; Proficiency in English is required
Published: January 14, 2020 06:32
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
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
Deadline: January 23, 2020 | Published: January 12, 2020 00:36
Department: Institute for Global Health
Workload: 100%
Duties: An exciting opportunity has arisen in the Institute of Global Health (IGH) for a Lecturer. Applicants should have a background in either health policy, health systems, public health or social science (or a combination of these). The primary focus of this post will be on teaching health policy/health systems/public health/social science to our undergraduate and postgraduate global health students (it is anticipated that 65% of the postholder's time would be devoted to teaching)
Minimum Requirements: The candidate should have a PhD in the area of Global Health related to health systems/health policy/public health/social science, or evidence of an equivalent level of attainment in research publications. A Master's degree in Health Policy, Global Health, Public Health or Social Science. A teaching qualification, such as a postgraduate certiificate of learning and teaching in HE, or the Arena qualification Higher Education Academy; Experience in teaching and research. It is expected that the applicant should have a good track record of teaching in global health, public health, health systems and/or health policy and social sciences as they relate to health. They will be able to demonstrate consistently high levels of student satisfaction with their teaching; In addition to excellent communication and interpersonal skills they will have enthusiasm for the teaching of global health. The highest ethical and professional standards in research and education and a flexible attitude...
Workload: 100%
Duties: An exciting opportunity has arisen in the Institute of Global Health (IGH) for a Lecturer. Applicants should have a background in either health policy, health systems, public health or social science (or a combination of these). The primary focus of this post will be on teaching health policy/health systems/public health/social science to our undergraduate and postgraduate global health students (it is anticipated that 65% of the postholder's time would be devoted to teaching)
Minimum Requirements: The candidate should have a PhD in the area of Global Health related to health systems/health policy/public health/social science, or evidence of an equivalent level of attainment in research publications. A Master's degree in Health Policy, Global Health, Public Health or Social Science. A teaching qualification, such as a postgraduate certiificate of learning and teaching in HE, or the Arena qualification Higher Education Academy; Experience in teaching and research. It is expected that the applicant should have a good track record of teaching in global health, public health, health systems and/or health policy and social sciences as they relate to health. They will be able to demonstrate consistently high levels of student satisfaction with their teaching; In addition to excellent communication and interpersonal skills they will have enthusiasm for the teaching of global health. The highest ethical and professional standards in research and education and a flexible attitude...
Technische Universität BerlinTU Berlin, University of OxfordTU Berlin; Berlin, Oxford, Germany, United Kingdom
Deadline: January 20, 2020 | Published: January 10, 2020 16:48
Duration: 3 y
Workload: 75%
Duties: Our PhD projects in stochastic analysis span from fundamental mathematical questions to applications in Biology, Data Science and Statistics, Finance, and Physics. Jointly supervised by leading experts from Berlin and Oxford, the Berlin IRTG students will form a team with a similarly large number of students on the Oxford side, supported, e.g., by the Centre for Doctoral Training "Mathematics of Random Systems"
Minimum Requirements: successfully completed university degree (Master, Diplom or equivalent) in Mathematics or closely related disciplines; strong knowledge of stochastic analysis; good command of English or German, together with good academic writing and presentation skills required; the willingness to learn either English or German is expected
Workload: 75%
Duties: Our PhD projects in stochastic analysis span from fundamental mathematical questions to applications in Biology, Data Science and Statistics, Finance, and Physics. Jointly supervised by leading experts from Berlin and Oxford, the Berlin IRTG students will form a team with a similarly large number of students on the Oxford side, supported, e.g., by the Centre for Doctoral Training "Mathematics of Random Systems"
Minimum Requirements: successfully completed university degree (Master, Diplom or equivalent) in Mathematics or closely related disciplines; strong knowledge of stochastic analysis; good command of English or German, together with good academic writing and presentation skills required; the willingness to learn either English or German is expected
Deadline: December 16, 2020 | Published: January 10, 2020 00:43
Department: Physics & Astronomy
Workload: 100%
Duties: The main purpose of this role is to contribute to the undergraduate teaching in physics and astrophysics. The post-holder will undertake a range of teaching duties associated with delivery of our degree programmes. These include module development, leadership and delivery across our curriculum, including lecture, laboratory, computing and project modules
Minimum Requirements: The successful applicant will have a PhD in Physics or a closely related subject, and expertise and experience in teaching a variety of subjects in the areas of Physics and Astrophysics using a range of delivery mechanisms; Candidates should also have excellent written and verbal communication skills
Workload: 100%
Duties: The main purpose of this role is to contribute to the undergraduate teaching in physics and astrophysics. The post-holder will undertake a range of teaching duties associated with delivery of our degree programmes. These include module development, leadership and delivery across our curriculum, including lecture, laboratory, computing and project modules
Minimum Requirements: The successful applicant will have a PhD in Physics or a closely related subject, and expertise and experience in teaching a variety of subjects in the areas of Physics and Astrophysics using a range of delivery mechanisms; Candidates should also have excellent written and verbal communication skills
Deadline: February 8, 2020 | Published: January 9, 2020 11:46
Department: Institute for Global Health
Workload: 100%
Duties: We have an excellent opportunity for a Research Fellow in Health Systems. The aim of the post is to support the development of a journal series in Nigeria, focussed on disease burden and the health system and subsequent dissemination of the outputs. The post-holder will join a team of senior investigators, project management staff and other research fellows and will focus on health systems
Minimum Requirements: Candidates will have an MSc and a PhD in relevant disciplines (e.g. health systems, global health, public health, health economics) or related experience; The post is relevant to MSc awardees and/or post-docs who want to hone their qualitative and quantitive skills relevant to health systems including analysis of political economy, governance, leadership, quality of care, implementation and capacity; The post holder will have experience of information governance, privacy and security issues regarding using confidential health records and administrative datasets in a secure setting; Candidates will have excellent communication skills, written and spoken in English; The post-holder will have the highest ethical and professional standards in research and education; Experience of data management, curation, and linkage methods for large administrative datasets. Skills in at least one statistical software package (eg. STATA, R)
Workload: 100%
Duties: We have an excellent opportunity for a Research Fellow in Health Systems. The aim of the post is to support the development of a journal series in Nigeria, focussed on disease burden and the health system and subsequent dissemination of the outputs. The post-holder will join a team of senior investigators, project management staff and other research fellows and will focus on health systems
Minimum Requirements: Candidates will have an MSc and a PhD in relevant disciplines (e.g. health systems, global health, public health, health economics) or related experience; The post is relevant to MSc awardees and/or post-docs who want to hone their qualitative and quantitive skills relevant to health systems including analysis of political economy, governance, leadership, quality of care, implementation and capacity; The post holder will have experience of information governance, privacy and security issues regarding using confidential health records and administrative datasets in a secure setting; Candidates will have excellent communication skills, written and spoken in English; The post-holder will have the highest ethical and professional standards in research and education; Experience of data management, curation, and linkage methods for large administrative datasets. Skills in at least one statistical software package (eg. STATA, R)
Published: January 9, 2020 08:04
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
Deadline: February 7, 2020 | Published: January 8, 2020 16:53
Department: Institute for Global Health
Duration: 1 y
Workload: 100%
Duties: We have an excellent opportunity for a Research Fellow in Health Systems. The aim of the post is to support the development of a journal series in Nigeria, focussed on disease burden and the health system and subsequent dissemination of the outputs. The post-holder will join a team of senior investigators, project management staff and other research fellows and will focus on health systems
Minimum Requirements: Candidates will have an MSc and a PhD in relevant disciplines (e.g. health systems, global health, public health, health economics) or related experience; The post holder will have experience of information governance, privacy and security issues regarding using confidential health records and administrative datasets in a secure setting. The highest ethical and professional standards in research and education; Candidates will have excellent communication skills, written and spoken in English; Experience in writing, presenting and explaining technical and/or scientific reports to a wide range of scientific and lay audiences. Training and experience with qualitiative data analysis, including interview techniques, coding and thematic content analysis. Skills in at least one statistical software package (eg. STATA, R); Experience of working on developing country health system analysis project; A willingness and ability to travel approx between 2-4 months per annum is essential. In addition...
Duration: 1 y
Workload: 100%
Duties: We have an excellent opportunity for a Research Fellow in Health Systems. The aim of the post is to support the development of a journal series in Nigeria, focussed on disease burden and the health system and subsequent dissemination of the outputs. The post-holder will join a team of senior investigators, project management staff and other research fellows and will focus on health systems
Minimum Requirements: Candidates will have an MSc and a PhD in relevant disciplines (e.g. health systems, global health, public health, health economics) or related experience; The post holder will have experience of information governance, privacy and security issues regarding using confidential health records and administrative datasets in a secure setting. The highest ethical and professional standards in research and education; Candidates will have excellent communication skills, written and spoken in English; Experience in writing, presenting and explaining technical and/or scientific reports to a wide range of scientific and lay audiences. Training and experience with qualitiative data analysis, including interview techniques, coding and thematic content analysis. Skills in at least one statistical software package (eg. STATA, R); Experience of working on developing country health system analysis project; A willingness and ability to travel approx between 2-4 months per annum is essential. In addition...
Deadline: February 6, 2020 | Published: January 8, 2020 16:51
Department: Division of Surgery and Interventional Science - Department of Targeted Intervention
Duties: The postholder will be part of the new center in 3D models of health and disease and help develop strategic research in regenerative medicine within the Division and beyond. The postholder is expected to strengthen the existing regenerative medicine network across disciplines. The professor will contribute to the research culture and profile of the Campus Department and Division
Minimum Requirements: The postholder must possess a Higher academic degree e.g. PhD, or evidence of an equivalent level of attainment in research publications, an internationally excellent record of scholarly publication that will make a positive contribution to the REF 2021 submission and an awareness of Higher Education issues and possible implications for the department. Track record of high quality original research and extensive publications in high quality peer-reviewed scientific journals and conferences, an active research profile at international level with a continuing track record of external research grant funding and the ability to communicate with colleagues within and outside the Department of Targeted Intervention and 3D models of health and disease: this includes general liaison and also postgraduate teaching are all essential
Duties: The postholder will be part of the new center in 3D models of health and disease and help develop strategic research in regenerative medicine within the Division and beyond. The postholder is expected to strengthen the existing regenerative medicine network across disciplines. The professor will contribute to the research culture and profile of the Campus Department and Division
Minimum Requirements: The postholder must possess a Higher academic degree e.g. PhD, or evidence of an equivalent level of attainment in research publications, an internationally excellent record of scholarly publication that will make a positive contribution to the REF 2021 submission and an awareness of Higher Education issues and possible implications for the department. Track record of high quality original research and extensive publications in high quality peer-reviewed scientific journals and conferences, an active research profile at international level with a continuing track record of external research grant funding and the ability to communicate with colleagues within and outside the Department of Targeted Intervention and 3D models of health and disease: this includes general liaison and also postgraduate teaching are all essential
Deadline: February 7, 2020 | Published: January 8, 2020 16:45
Department: BARTLETT SCHOOL of ENVIRONMENT, ENERGY & RESOURCES - Energy Institute
Duration: 2 y
Workload: 100%
Duties: The UCL Energy Institute’s MaaSLab sits within a wider transport and energy group encompassing work on aviation and surface transport. Started in 2016, MaaSLab focuses on urban transport and explores new mobility concepts, such as Mobility as a Service, and new technologies such as automated vehicles, and drones. Its expertise lies on transport and behavioural models, survey design and innovative data collection techniques, big data handling and visualization, new mobility service design and business models. MaaSLab hosts a number of funded PhD studentships working closely alongside the research grant and enterprise activities. MaaSLab has several research projects on the aforementioned topics, while also working closely with industry and public authorities to make sure that the innovative solutions and methods are utilized in real-life and have an impact on society
Minimum Requirements: Essential Criteria: Postgraduate degree (MSc or equivalent) in computer science, software engineering, data science, applied mathematics, transport engineering, physics, or related fields - PhD, near to completion, or commensurate research or industry experience in computer science, software engineering, data science, mathematics, or related fields Desirable Criteria: Knowledge of transport modelling theory (e.g. transport simulation models, dynamic travel behaviour modelling for new on-demand mobility services, traffic simulation, etc.)
Duration: 2 y
Workload: 100%
Duties: The UCL Energy Institute’s MaaSLab sits within a wider transport and energy group encompassing work on aviation and surface transport. Started in 2016, MaaSLab focuses on urban transport and explores new mobility concepts, such as Mobility as a Service, and new technologies such as automated vehicles, and drones. Its expertise lies on transport and behavioural models, survey design and innovative data collection techniques, big data handling and visualization, new mobility service design and business models. MaaSLab hosts a number of funded PhD studentships working closely alongside the research grant and enterprise activities. MaaSLab has several research projects on the aforementioned topics, while also working closely with industry and public authorities to make sure that the innovative solutions and methods are utilized in real-life and have an impact on society
Minimum Requirements: Essential Criteria: Postgraduate degree (MSc or equivalent) in computer science, software engineering, data science, applied mathematics, transport engineering, physics, or related fields - PhD, near to completion, or commensurate research or industry experience in computer science, software engineering, data science, mathematics, or related fields Desirable Criteria: Knowledge of transport modelling theory (e.g. transport simulation models, dynamic travel behaviour modelling for new on-demand mobility services, traffic simulation, etc.)
Deadline: January 31, 2020 | Published: January 7, 2020 06:14
Department: Division of Biosciences - Research Department of Cell and Developmental Biology
Duration: 2 y
Workload: 100%
Duties: A Research Fellow position is available in the group of Prof Chris Barnes at UCL to develop statistical tools for the inference of dynamical models from next generation sequencing data. This is in the context of cancer evolution, microbial systems biology and microbiome engineering. The successful individual will become an active member of both the Computational Systems and Synthetic Biology group and UCL Genetics Institute, and contribute to the development of cutting-edge computational research in life-sciences. In addition to designing and conducting the research, the successful candidates will write and communicate results as scientific papers and in scientific presentations at national and international conferences
Minimum Requirements: A PhD (or about to submit) in systems of quantitative biology and an undergraduate degree in the physical sciences, mathematics, statistics, engineering or another quantitative discipline are essential. Experience in developing statistical inference algorithms is essential, as is experience in analyzing large datasets using compute clusters/cloud computing. Computational statistics skills (eg Bayesian approaches, machine learning) are essential, as well as mathematical modelling skills (ODEs and stochastic processes) and computer programming skills (including low level languages such as C/C)
Duration: 2 y
Workload: 100%
Duties: A Research Fellow position is available in the group of Prof Chris Barnes at UCL to develop statistical tools for the inference of dynamical models from next generation sequencing data. This is in the context of cancer evolution, microbial systems biology and microbiome engineering. The successful individual will become an active member of both the Computational Systems and Synthetic Biology group and UCL Genetics Institute, and contribute to the development of cutting-edge computational research in life-sciences. In addition to designing and conducting the research, the successful candidates will write and communicate results as scientific papers and in scientific presentations at national and international conferences
Minimum Requirements: A PhD (or about to submit) in systems of quantitative biology and an undergraduate degree in the physical sciences, mathematics, statistics, engineering or another quantitative discipline are essential. Experience in developing statistical inference algorithms is essential, as is experience in analyzing large datasets using compute clusters/cloud computing. Computational statistics skills (eg Bayesian approaches, machine learning) are essential, as well as mathematical modelling skills (ODEs and stochastic processes) and computer programming skills (including low level languages such as C/C)
Deadline: March 31, 2020 | Published: January 6, 2020 11:14
Department: Department of Chemical Engineering
Duration: 4 y
Duties: Within the Product & Process Systems Engineering group, the Chemical Engineering Department is seeking an enthusiastic and dedicated post-graduate student to research how to incorporate uncertainty consideration related to the optimisation of process & energy systems engineering via novel data-driven and machine learning methods. Expertise in mathematical modelling & optimisation is essential, as well as a good understanding of machine learning techniques is desirable
Minimum Requirements: The successful applicant will have a 1st class MSc/MEng (or equivalent) in an area pertinent to the subject area, e.g. Chemical Engineering, Operations Research, Computer Science, Mathematics
Duration: 4 y
Duties: Within the Product & Process Systems Engineering group, the Chemical Engineering Department is seeking an enthusiastic and dedicated post-graduate student to research how to incorporate uncertainty consideration related to the optimisation of process & energy systems engineering via novel data-driven and machine learning methods. Expertise in mathematical modelling & optimisation is essential, as well as a good understanding of machine learning techniques is desirable
Minimum Requirements: The successful applicant will have a 1st class MSc/MEng (or equivalent) in an area pertinent to the subject area, e.g. Chemical Engineering, Operations Research, Computer Science, Mathematics
Deadline: January 30, 2020 | Published: January 6, 2020 11:10
Department: Computer Science
Duration: 1 y
Duties: The Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) invites applications for research scientists and engineers with a strong background in sensor-based localization (e. g. sensor calibration, 3D reconstruction, SLAM, multi-modal registration) and software engineering to develop tools for assisted navigation with medical imaging devices
Minimum Requirements: This is an exciting opportunity for enthusiastic candidates with excellent technical skills and track record to join an internationally leading research group. We require outstanding research engineers with in-depth technical skills in computational methods, imaging, robotics, and software development; You will need to work closely with colleagues from within our lab as well as associated with collaborators, such as so excellent teamwork and communication skills will be required
Duration: 1 y
Duties: The Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) invites applications for research scientists and engineers with a strong background in sensor-based localization (e. g. sensor calibration, 3D reconstruction, SLAM, multi-modal registration) and software engineering to develop tools for assisted navigation with medical imaging devices
Minimum Requirements: This is an exciting opportunity for enthusiastic candidates with excellent technical skills and track record to join an internationally leading research group. We require outstanding research engineers with in-depth technical skills in computational methods, imaging, robotics, and software development; You will need to work closely with colleagues from within our lab as well as associated with collaborators, such as so excellent teamwork and communication skills will be required
Deadline: January 31, 2020 | Published: January 3, 2020 14:09
Department: Bartlett Centre for Advanced Spatial Analysis (CASA)
Duration: 2 y
Workload: 100%
Duties: The successful candidate will collaborate directly with academics and policy-makers in Colombia and China to maximise relevance and impact. The post-holder will also attend an annual retreat with other postdoctoral researchers from around the world, and will have an opportunity to spend time within a partner research institution (Medellin and/or Beijing) as appropriate to their research project
Minimum Requirements: We are seeking a person skilled in mathematical modelling, network science, statistics and spatial interaction models who is likely to have a PhD in applied mathematics; We are looking for an individual to build spatial interaction models for the relevant countries, and interrogate questions primarily related to migration, terrorism and economic impacts; The person should have existing in-depth expertise in research at the interface of migration and terrorism, with some experience of research concerning the economic drivers and impacts of migration; Previous experience working with local stakeholders and policymakers is essential; Expertise in database creation and manipulation, high level programming languages, and a thorough knowledge of spatial interaction models is also essential
Duration: 2 y
Workload: 100%
Duties: The successful candidate will collaborate directly with academics and policy-makers in Colombia and China to maximise relevance and impact. The post-holder will also attend an annual retreat with other postdoctoral researchers from around the world, and will have an opportunity to spend time within a partner research institution (Medellin and/or Beijing) as appropriate to their research project
Minimum Requirements: We are seeking a person skilled in mathematical modelling, network science, statistics and spatial interaction models who is likely to have a PhD in applied mathematics; We are looking for an individual to build spatial interaction models for the relevant countries, and interrogate questions primarily related to migration, terrorism and economic impacts; The person should have existing in-depth expertise in research at the interface of migration and terrorism, with some experience of research concerning the economic drivers and impacts of migration; Previous experience working with local stakeholders and policymakers is essential; Expertise in database creation and manipulation, high level programming languages, and a thorough knowledge of spatial interaction models is also essential
Deadline: January 22, 2020 | Published: December 27, 2019 11:23
Department: Applied Health Research - NIHR ARC North Thames
Duration: 1.5 y
Workload: 100%
Duties: The research fellow will work on a project using linked NHS and local council data to: 1. Advance understanding of social variations in care use for people with multi-morbidity, in order to inform equitable planning or provision of care; 2. To advance the field of data science across health and care systems for example by developing code, making recommendations about the collection, collation and storage of routinely collected data to better support such analyses in future
Minimum Requirements: Applicants should have a PhD in data science, statistics, a related field with a substantive quantitative component, or in a related area with less quantitative emphasis, but with equivalent experience in applying statistics in the context of population health research using routine data
Duration: 1.5 y
Workload: 100%
Duties: The research fellow will work on a project using linked NHS and local council data to: 1. Advance understanding of social variations in care use for people with multi-morbidity, in order to inform equitable planning or provision of care; 2. To advance the field of data science across health and care systems for example by developing code, making recommendations about the collection, collation and storage of routinely collected data to better support such analyses in future
Minimum Requirements: Applicants should have a PhD in data science, statistics, a related field with a substantive quantitative component, or in a related area with less quantitative emphasis, but with equivalent experience in applying statistics in the context of population health research using routine data
Published: December 23, 2019 00:12
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
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
Published: December 23, 2019 00:12
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
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
Published: December 23, 2019 00:12
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
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
Published: December 23, 2019 00:11
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
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
Deadline: June 30, 2020 | Published: October 21, 2019 10:31
Department: Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre for Neural Circuits and Behaviour
Duties: GCNU & SWC seek to recruit an outstanding scientist with an interdisciplinary background working at the interface of machine learning and neuroscience or related areas. We are looking for someone who will conduct creative and innovative research to deliver breakthroughs at the interface of the 2 fields that contribute to an algorithmic understanding of perception, action or learning. The successful applicant will have exciting research plans, and be keen to participate in collaborative and cooperative science. The Research Group Leader will receive generous core funding, including salary and stipend support for research staff and students. Extensive high-performance computational resources are available in-house, with funds available for expansion if needed. If desired, support for experimental work will also be available, including equipment and customised laboratory space, supported by state-of-the-art facilities such as prototyping and fabrication, imaging, virology and histolog...
Minimum Requirements: Applicants can come from all independent career stages They need to have a PhD in neuroscience, machine learning or a related field and postdoctoral research experience at the time of application. They will be expected to have a detailed knowledge and understanding of the literature in their research fields, be proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques The ability to build strong collaborative working relationships and an understanding of the mission and research environment of GCNU and SWC is essential
Duties: GCNU & SWC seek to recruit an outstanding scientist with an interdisciplinary background working at the interface of machine learning and neuroscience or related areas. We are looking for someone who will conduct creative and innovative research to deliver breakthroughs at the interface of the 2 fields that contribute to an algorithmic understanding of perception, action or learning. The successful applicant will have exciting research plans, and be keen to participate in collaborative and cooperative science. The Research Group Leader will receive generous core funding, including salary and stipend support for research staff and students. Extensive high-performance computational resources are available in-house, with funds available for expansion if needed. If desired, support for experimental work will also be available, including equipment and customised laboratory space, supported by state-of-the-art facilities such as prototyping and fabrication, imaging, virology and histolog...
Minimum Requirements: Applicants can come from all independent career stages They need to have a PhD in neuroscience, machine learning or a related field and postdoctoral research experience at the time of application. They will be expected to have a detailed knowledge and understanding of the literature in their research fields, be proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques The ability to build strong collaborative working relationships and an understanding of the mission and research environment of GCNU and SWC is essential