Industrial Placement 2025 - Engineering & Observations
at Met Office
Heavitree EX1 3PB, , United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 08 Feb, 2025 | GBP 25606 Annual | 09 Nov, 2024 | N/A | Norway,Signal Processing,Mathematics,R,Data Analysis,Python,Instrumentation,Programming Languages | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
JOB SUMMARY
The Met Office is delighted to open our advertising for a number of Industrial Placements, which will commence from July 2025 until July 2026.
We’re looking for a Network Engineer Industrial Placement to help us make a difference to our planet.
This is an exciting opportunity to join the Met Office on a 12-month Year in Industry placement, developing your skills and knowledge and ensuring you gain the most value possible from your experience with us. You will have the opportunity to network with our cohort of Industrial Placements all over the Met Office and understand what career opportunities we can offer you after you graduate.
As our Observations Research and Development Industrial Placement, the job may be suitable for hybrid working, which is where an employee works part of the week in the office and part of the week from home. This is a voluntary, non-contractual arrangement and the location advertised will be your contractual place of work.
Our opportunity is full time, 37 hours per week. Our people are at the heart of what we do and we’ll do our best to agree a working pattern that works for everyone.
ESSENTIAL CRITERIA, SKILLS AND EXPERIENCE:
- Be an expert by nature in data analysis, signal processing and statistical methods
- Undertaking a degree with strong physics, mathematics of meteorological background
- Be able to apply Machine Learning methods to solve classification problems.
- Demonstrate you can keep evolving by further developing your data analysis skills using programming languages such as Python or R
- Able to demonstrate we’re better together by showing experience of working on a problem as a team
- Ability to setup instrumentation in either a laboratory or outside in the field
Benefits
Alongside your salary of £25,606, Met Office contributes £7,418 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.
NATIONALITY REQUIREMENTS
This job is broadly open to the following groups:
- UK nationals
- nationals of the Republic of Ireland
- nationals of Commonwealth countries who have the right to work in the UK
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
- individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
- Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
Further information on nationality requirements (opens in a new window)
Responsibilities:
KEY DUTIES
- Perform signal processing to extract current intensity and lightning classification from newly developed magnetic loop antennas, with the aid of ML and AI
- Begin integrating routine measurements from the magnetic loop antennas, which you’ll assist deploying into the field, into our larger long range lightning detection network LEELA to further enhance LEELA’s outputs
- Reprocess previous data from LEELA using new and improved algorithms, you have helped develop and study if the lightning strike intensity of individual lightning strikes has changed in the last 5 years
- Perform comparisons of lightning waveforms with lightning mapping date from the state of the are LOw Frequency ARray and from the newly operational Lightning Imager in
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Other Industry
Other
Graduate
Mathematics
Proficient
1
Heavitree EX1 3PB, United Kingdom