Jobs within The Data Lab
The Data Lab aims to ensure equality of opportunity and welcomes applications from everyone irrespective of age, disability, gender identity, sexual orientation, religion, belief or race. Flexible working arrangements can be discussed. Appointment will be based on merit alone.
There are currently no vacancies within The Data Lab.
Jobs in Scotland
Unless indicated otherwise, the following opportunities are offered by organisations external to The Data Lab. If you are interested or have any questions regarding any of these vacancies, please contact the offering organisation directly.
Data Engineering Director – BlackRock
BlackRock is a leader in investment management, risk management and advisory services for institutional and retail clients worldwide! As of July 17, 2020, BlackRock’s AUM was $7.3 trillion, making it the largest asset manager globally. BlackRock helps clients meet their goals and overcome challenges with a variety of products that include separate accounts, mutual funds, iShares® (exchange-traded funds), and other pooled investment vehicles. BlackRock also offers risk management, advisory and enterprise investment system services to a broad base of institutional investors through BlackRock Solutions®. Headquartered in New York City, the firm has approximately 16,000 employees in more than 30 countries and a major presence in key global markets, including North and South America, Europe, Asia, Australia, the Middle East and Africa!
When BlackRock was started in 1988, its founders envisioned a company that combined the best of financial services with groundbreaking technology. They envisioned a company that would provide financial services to clients as well as technology services to other financial firms. The result of their vision is Aladdin, our industry leading, end-to-end investment management platform. Data is at the heart of Aladdin and of everything we do. The DataOps Engineering team is responsible for building and maintaining a cutting-edge data platform that provides quality data for Investors, Operations Teams, Data Scientists, and all users of the platform.
Research Associate/Assistant/Fellow in BLE Proximity Sensing
3 short-term roles available, to start ASAP. Contact Ana Basiri directly for more information. (firstname.lastname@example.org).
College of Science and Engineering, School of Geographical and Earth Sciences
Grade: 6, 7 (depending on experience and qualifications) full/part-time or hourly basis.
Starting Date: ASAP
Funding Duration: 2 months initially with possible extensions up to a year
To make an impactful contribution to the United Kingdom National Health (NHS) contact
tracing app (NHSx) and examine different scenarios and environment (indoor, outdoor), model
Bluetooth Low Energy (BLE) signal attenuation, movement models the device holders may
have. The researcher is expected to work with the NHSx technical team and government
advisor. The team is based in Glasgow’s College of Science and Engineering, but closely
works with Professor Mark Briers and the Alan Turing Institute team and Professor Jon
Crowcroft at the University of Cambridge. The successful applicant reports to Professor Ana
The successful candidate will be expected to:
• Have a strong background in Bayesian statistics (ideally some experience with Kalman Filtering
for movement/positioning data)
• Have experience with positioning/proximity signals, ideally BLE
• Ideally have experience in movement modelling and trajectory data mining
• Model the attenuation and patterns of movements using BLE observations
• Produce reports in the forms of academic papers but also as evidence to policymakers
• Have extensive experience with programming in Python,
Research Fellow/ Associate/Assistant in Crowdsourced Geospatial Data Science
Vacancy Ref: 039704
Salary: Grade 6/7/8 £29,176 – £32,817 /£35,845 – £40,322 per annum
To make a leading contribution to the UKRI Future Leaders Fellowship project and establishing the new research theme in Geospatial Data Science within the College of Science and Engineering. The research associate/assistant will work with Professor Ana Basiri and the team to create crowdsourcing platforms and study motivations and needs of ‘crowd’.
The successful candidate will be expected to:
We are seeking a person skilled in at least two of the following areas: computer programming, statistics and data science, social science, who is likely to have a background (ideally PhD) in mathematics, statistics, social science, geography, human factor, or computer sciences, or a cognate scientific area. Ideally, the person would have expertise in crowdsourcing platforms, mapping, mobile and web application development, simulation tools, and would know how to measure, minimise, and impute missing geospatial data through statistical and machine learning models leading to good/best practices for crowd engagement strategies.
The successful applicant will work closely with the Indicative data science project team at the University of Glasgow (PI: Professor Ana Basiri), and also the external partners at University College London (UCL), Ordnance Survey GB, Alan Turing Institute, Uber, Leibniz Institute of Ecological Urban and Regional, BIM Academy, University of Nottingham, Maynooth University.
This post is full time with funding up to 2 years in the first instance
Closing Date: 13 August 2020
Our web front-end is built using React. The server consists primarily of Node.js services, backed by PostgreSQL and Redis, exposing GraphQL APIs, and deployed in Docker on AWS. Other clients include a ReactNative mobile app, and REST integrations with 3rd party services.
To apply, send your CV to email@example.com for the attention of Adam Dallis