Project Manager research post at UCL, Department of Geography
Full Time: The appointment will be on UCL Grade 9. The salary will be £52,078 per annum, inclusive of London Allowance.
ESRC-funded until the 13th February 2019 in the first instance.
As part of a major investment in the acquisition, management and analysis of Big Data, the ESRC is investing £6 million over five years in the Retail Business Datasafe (RBDS), based at University College London (UCL) in partnership with the University of Liverpool and the University of Oxford. In addition to a freestanding programme of research into the retail sector, the RBDS will work in partnership with the University of Leeds to create the Consumer Data Research Centre (CDRC).
For this post we are seeking a highly-motivated individual with responsibilities for leading the RBDS and coordinating contributions to the CDRC. The Project Manager will be responsible for liaison with RBDS partners in the retail sector and with the Leeds centre, along with responsibilities for managing staffing across the RBDS in London, Liverpool and Oxford. Although the post is based in London, travel to participating sites in the UK will be required.
For further details please contact: Professor Paul Longley (p.longley at ucl.ac.uk)
Closing Date: 11 June 2014
Jobs at Esri UK
The Esri UK Technical Research team is looking for a recent graduate with strong design skills to deliver innovative, well-presented, meaningful maps and infographics to demonstrate the power of geography and build Esri brand awareness.
The role will involve:
* Demonstrating an aptitude to think creatively, identifying innovative areas to exploit the benefits of GIS and showcase Esri technology to the public.
* Building interactive maps, supporting graphics and visualisations that demonstrate the power of geography and the cartographic capabilities of the ArcGIS platform.
* Demonstrating an interest in current affairs and the news, and understanding of how a map can play an important part in telling a story.
* Using desktop publishing packages to create design collateral to support marketing and PR campaigns.
The successful applicant must:
* Be able to act as a subject matter expert in Design and Cartography and related technology.
* Demonstrate excellent communication skills.
* Have a degree in Cartography, GIS, Graphic Design or related subject.
* Be self-motivated and be able to work alone as well as part of a team.
Customer Success Manager: Higher Education
Reporting to the Training and Education Services Manager, Esri UK are seeking to appoint a motivated, organised and energetic individual to join the Education Team. The key responsibilities of the role include:
* Accountable for driving customer success through the use of ArcGIS within the UK Further and Higher Education community, by becoming a trusted GIS advisor to the institution.
* Developing and expanding the use of GIS across the higher education curriculum.
* Owning the Chest Agreement for Esri UK, ensuring it is kept current and aligns to Esri Inc Education Licencing policy whilst delivering value for our customers.
* Identify and close sales opportunities which maximise the use of Esri products within (or outside) the Chest Agreement.
Applicants should have a degree in a relevant subject and will have gained an in-depth knowledge of the practical application of GIS. Applicants must have experience of working in a customer facing environment, have excellent communication skills and be confident in dealing with people at all levels. Knowledge of the UK Further and Higher Education sector is vital to the successful delivery of this role.
If you are interested in exploring the above opportunities in more depth, please email your letter of application and CV to hrteam at esriuk.com.
Your letter of application should demonstrate how you fit this role based on your experience to date. Please include details of your current and expected salary package and give details of your availability both for interview and for employment if your application is successful.
10 principles of citizen science
UCL's Muki Haklay has a great blog post discussing the principles of Citizen Science. Muki and his team have been running a number of citizen science projects including some where the "citizen" collecting the data may be illiterate.
The article presents and discusses the European Citizen Science Association's suggestion for the 10 principles of citizen science. From a cursory glance, they all seem pretty sensible. However, i would perhaps suggest that citizen science projects need not just be measured on their scientific output. They could easily be classed a success if they simple raise awareness in a community of an issue that may directly affect them. Technology is a great way to engage new, often younger, groups and highlight issues to them. Definitely worth a read if you are involved in citizen science in any way as the list could help you to set out you objectives and make you think about how to measure the success and the impact of your project.
PhD Studentship in GIS/Remote Sensing/Climate Change/Health
PhD Studentship available at Manchester Metropolitan University. Climate change can have profound effects on the epidemiology of human disease where the underlying transmission is mediated through ecological change. This proposed work will seek to utilise a blended approach of remote sensing, GIS and environmental modelling with climate change scenarios to simulate potential ecosystem change in Tanzania.
Project Aim and Objectives
The central aim of this study is to develop a spatial model that predicts the impacts of climate change on ecosystem components associated with human health. The objectives of this study are:
• To identify the most suitable approach for environmental modelling at a regional scale. This includes the assessment of the influence of spatial scales on environmental models.
• To develop a predictive model capable of simulating ecosystem change. This step would require the creation of an environmental model either within a GIS framework – or ‘standalone’ but linked to a GIS for visualization and further decision making. This model should then be able to simulate future ecosystem conditions based on numerous climate scenarios.
• To research the necessary range of future environmental parameters in the context of climate change scenarios.
• To implement a range of ecosystem parameter predictions based on future climate change scenarios.
• An assessment of the validity and usefulness of ecosystem modelling and prediction for health. First, an objective assessment of how well the model manages to make predictions (simulations) of environmental parameters associated with disease and health. Secondly, given the quality and utility of these simulations, how can they be used for improving health?
Specific qualifications, skills, knowledge and experience applicants should have:
The proposed work will require skills and experience of a range of GIS and image processing software (e.g. Erdas Imagine, ArcGIS and QGIS) and modelling packages such as ‘R’ and MatLab. Experience of working with large datasets related to remotely sensed, climatic and environmental parameters as well as their statistical analysis using tools such as SPSS is required. The work requires the formulation of an environmental predictive model including climatic and meteorological components. Programming skills would be advantageous in order to write the necessary model and ensure it operates within a GIS framework effectively. Knowledge of how to gather and process large amounts of data as well as ensure it is ingested into a model framework is required. Knowledge of how the application of algorithms to produce new information as well as incorporate climate model output in the form of ensemble simulations would be required. Knowledge of model impact analysis and validation using the statistical approaches of accuracy, skill, reliability and robustness would be advantageous. Knowledge of biological/epidemiological disease factors and climate change within the tropics would be an advantage. A willingness to travel, possibly overseas and undertake fieldwork is required. Previous experience and skills in field data collection is required.
Closing Date: Friday 6th June
Spatial Analysis for Landscape Ecologists - workshop
This workshop provides an opportunity for postgraduates to be introduced to the spatial data and software packages which are available for landscape-scale research. There will be interactive discussions and a look at some examples of how GIS and spatial analysis is currently being used in scientific research at postgraduate level and beyond.
Day 1 – Spatial Data and Software
- Obtaining spatial data online
- Open source vs. license only data
- When is it worth creating your own data?
- Discussion: our experiences / pro’s and con’s
- FRAGSTATS for analysing landscape patterns
- Conefor and ArcGIS connectivity modelling
Day 2 – GIS in Scientific Research
- Guest speakers from Forest Research, University of Aberdeen and
- Centre for Ecology & Hydrology (CEH)
- A chance to see and discuss how GIS is used in scientific research from both the academic and commercial perspectives
- Introducing the new RangeShifter software
Date: TBC (mid July 2014)
Location: University of Reading
Fee*: £45 (ialeUK members), £80 (non-members) *Includes: Course, tea & coffee, 2x lunch, 1x dinner.
Date May 15, 2014
UCL CASA maps almost 2,000 years of London's history
The Guardian reports on how researchers at UCL's Centre for Advanced Spatial Analysis (CASA) collated vast datasets to map the capital's transformation from first-century Londinium to modern megacity.
The visualisation, originally created for the Almost Lost exhibition, explores the development of the city through the evolution of the road network and preserved buildings.
The full article about this project is available on The Guardian via the link below.
Horizon Digital Economy Research Institute - PhD Studentships
The Horizon Digital Economy Research Institute, based at the University of Nottingham, is looking to recruit a number of enthusiastic PhD students for the next academic year.
They are interested in students from a wide variety of backgrounds including computer science, engineering, human factors, psychology, sociology, business, geography, social science and the arts, providing they have an excellent first degree and can demonstrate an enthusiasm for interdisciplinary research. These students will benefit from:
- A fully-funded four-year PhD programme that integrates a leading-edge research project with research training in interdisciplinary skills.
- At least one internship with one of our partners.
- An enhanced stipend of £16,000 per annum as well as a personal laptop.
While we are open to prospective student’s own ideas in this area, we have been working closely with our partners on priority themes for this current round of recruitment which include:
- Communities, identities and place
- Curating travellers’ identities
- Digital identities for personalised media experiences
- Introducing a social perspective to future digital identity products
- Data analytics for digital identity
- The contextual footprint at work
- Augmenting fast-moving consumer goods in the home to support sustainable living
- Personal data to encourage wellbeing.
Closing Date: Friday, 30th May 2014
Date May 15, 2014
PhD post: Geospatial and Semantic Technologies and Data Mining (ARIADNE Project)
The VU University Amsterdam's Spatial Information Laboratory (SPINlab) and Network Institute (NI) are searching for a PhD candidate that focuses on semantic technologies, data mining and Geospatial technologies in the context of the ARIADNE Project focused on the field of Archaeology. The ARIADNE Project is in close collaboration with the Faculty of Archaeology Leiden University.
The ARIADNE Project aims to bring together and integrate existing archaeological research data infrastructures to enable researchers to use powerful technologies as an integral component of the archaeological research methodology. The last 20 years has produced a large and growing corpus of digital archaeological data about different time periods, sub domains and regions. The main problem with the available digital archaeological datasets is that these are far from homogeneous. The main challenge for the ARIADNE project is to develop tools and integrate infrastructures which enables archaeologists to search spatially and temporal through the rich datasets.
Within ARIADNE, the PhD candidate will work on a work package that is focused on text mining and data mining. Since spatial context and location are vital components in archaeological research the PhD student will primary focus on the relationship between geospatial and semantic technologies.
The candidate will work for 20% of his/her time in Leiden and 80% in Amsterdam.
You preferably should have the following qualifications:
• Master in Geographic Information Systems, Computer Sciences, Archaeology, e-Humanities or other related studies;
• Interest in and knowledge of semantic technologies and linked data;
• Interest in and knowledge of data mining, information extraction or machine learning;
• Interest in and knowledge of Geographic Information Systems;
• Fluency in spoken English and excellent written and verbal communication skills; and
• Willingness and proven ability to work in a team and to liaise with colleagues in an international and interdisciplinary research environment.
Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae, copy of Master Thesis, list of M.Sc. or M.A. courses and grades and addresses of two referees. Applications, mentioning the vacancy number in the e-mail header and only accepted via e-mail only, should be submitted before 22 May 2014.
The gross salary will be € 2083,00 gross per month in the first year and rising up to € 2664,00 gross per month in the fourth year (salary scale 85) based on a full-time employment.
More information about the post, the ARIADNE Project and contact details can be found via link below.
New Zealand push ahead with open data
The New Zealand government have just announced that they will make the large collection of aerial images available online. The images were collected with public funding and will be made available through the LINZ Data Service. The images cover around 95% of New Zealand and should help stimulate economic growth.Date May 14, 2014
Google Maps adds public transport data for UK
Spotted on the BBC News website this morning, Google has added public transport data to its Google Maps service for Great Britain. Google maps will now be able to provide routing information that uses public transport and provide users with information about what to catch and when.
This is a significant amount of data and should increase the usefulness of what is already a really quite useful service. It builds on previous attempts by Google to provide such a service across the UK which suffered from some patches where data was unavailable.