Vacancies

The project will focus on validating an automated image recognition algorithm developed in Met Éireann to digitise pluviograph paper charts. Pluviograph charts are generated by instruments measuring rainfall accumulations. Met Éireann holds these historical charts from weather stations across Ireland and they are potentially a valuable source of precipitation timeseries data particularly at sub-daily resolution.
Extracting usable information from these charts can involve a labour-intensive process of examining the charts by hand and recording threshold exceedances at various sub-daily durations. The methodology followed by the researcher in this project will involve intensive scanning of the images, validation of the image recognition technique created for the equivalent of the paper chart to allow detailed analysis of rainfall profiles. Generated data will be used for the study of rainfall extremes, historical trends and the effect of the changing climate on precipitation patterns.

Project Aims:
1. Near-Real-Time Quality Control:
Implement parallelized QC routines to enable near-real-time validation of rain gauge data.

2.Automated Heavy Rainfall Identification:
Adapt existing methods to objectively delineate areas of intense rainfall using thresholding and spatial connectivity algorithms.

3.High-Performance Spatial Analysis:
Optimize current spatial analysis workflows to efficiently handle high-resolution radar data in real time.

The final outcome will be a scalable and robust framework capable of integrating radar and gauge data efficiently. The system will be demonstrated by automatically identifying and analysing the ten largest daily rainfall events over a recent two-year period, supporting rapid climate diagnostics and improved real-time flood forecasting.

Skills required:
Applications are welcome from 3rd and 4th year undergraduate students and to postgraduate students at the MSc and PhD level.

Location
The intern will be required to attend Met Éireann’s headquarters twice a week, with the option for blended (remote) working on the remaining days, in line with the practices of their assigned division. For the Climate Services Division, the designated anchor days are Tuesday and Thursday.

Renumeration
Interns will be paid on point 1 of the Temporary Clerical Officer scale €596.11 per week.

Applications
The closing date for applications is Friday, 6th February 2026 at 5pm.

Additional Information
Application Form

Applicants should submit completed application forms to internships@met.ie

Advertising Date
05/01/2026

Closing Date for Applications
06/02/2026 at 5pm

With this internship, you will play an important part in the ongoing project Assessment of Ireland’s Climate Extremes. This project involves assessing and verifying Ireland’s monthly and annual climate extreme records, communicating the findings to stakeholders and other researchers, and presenting the work at international conferences and publishing it in peer-reviewed journals.
In some cases, such as those records from the 21st century, the modern time series and many analysis products are already digitised and easily available. In the case of older records, such as those in the 1800s or early 20th century, some data rescue work may be required. Assessment of the records will involve you doing some/all the following:

• scanning and digitising historical weather and climate records (possibly taking preliminary steps in testing the use of AI-OCR models in this process)
• a thorough data exploration, including tables, plots, maps and statistical modelling (ideally using R)
• review of the synoptic situation at the time of the record using all available resources
• reporting regularly to your supervisors to update them on progress and get feedback
• synthesising your findings clearly in a final report

Project Aims:
The expected deliverable will be a final report synthesising the findings.

The outcomes will be that all relevant work and analysis done will feed into the longer-term project of assessing Ireland’s climate extremes. In addition to producing a final report, the interns will present this work to all staff at a special seminar in August, building valuable communication skills.
Interns will be acknowledged in any publications produced including their analysis. The outcome will be a scalable and robust framework capable of integrating radar and gauge data efficiently. The system will be demonstrated by automatically identifying and analysing the ten largest daily rainfall events over a recent two-year period, supporting rapid climate diagnostics and improved real-time flood forecasting.

Skills Required / Desired

• Excellent programming skills, ideally in R and/or Python
• Background in maths, statistics, applied maths, or related discipline
• Very good oral and written communication skills
• Applications are welcome from 3rd and 4th year undergraduate students and to postgraduate students at the MSc and PhD level

Location
The intern will be required to attend Met Éireann’s headquarters twice a week, with the option for blended (remote) working on the remaining days, in line with the practices of their assigned division. For the Climate Services Division, the designated anchor days are Tuesday and Thursday.

Renumeration
Interns will be paid on point 1 of the Temporary Clerical Officer scale €596.11 per week.

Applications
The closing date for applications is Friday, 6th February 2026 at 5pm.

Additional Information
Application Form

Applicants should submit completed application forms to internships@met.ie

Advertising Date
05/01/2026

Closing Date for Applications
06/02/2026 at 5pm

The Met Éireann communications unit is always looking to create/ adapt content for social media, educational purposes and outreach events. The freshness and social media expertise of young creators would be a great asset for our activities.
The intern would work with the team on whatever may be the priorities at the time of joining (e.g. Bloom, Ploughing or other timely events, weather warnings graphics, 90th Anniversary activities, etc).
In addition, ad hoc involvement in terms of support to events organisation and/or communication campaign may be required and beneficial for the intern to have a broader overview of the work of the corporate communication unit, and learn about different scientific topics (from weather forecasting and climate science to research, AI, radar or other).

Project Aims:

• Suite of graphics / animated / video material as required by the topic in question.
• Support to events / campaigns organisation.
• Routine collaboration and engagement with colleagues of other divisions and with their work

Skills Required / Desired

• Content creation, graphic design
• Video editing using different tools (e.g. InShot, Adobe suite, Davinci resolve…) (not all required, but experience in more than one tool desirable).
• Social media management skills
• Ability to communicate and engage with colleagues and other audiences
• Interest in scientific topics, science-based services
• Ability to extract relevant information from large sets of info and communicate it with impact
• Attention to detail
• Ability to think outside the box (desired)
• Applications are welcome from 3rd and 4th year undergraduate students and to postgraduate students at the MSc and PhD level

Location
The intern will be required to attend Met Éireann’s headquarters twice a week, with the option for blended (remote) working on the remaining days, in line with the practices of their assigned division.

Renumeration
Interns will be paid on point 1 of the Temporary Clerical Officer scale €596.11 per week.

Applications
The closing date for applications is Friday, 6th February 2026 at 5pm.

Additional Information
Application Form

Applicants should submit completed application forms to internships@met.ie

Advertising Date
05/01/2026

Closing Date for Applications
06/02/2026 at 5pm

Accurate and timely characterization of heavy rainfall is fundamental for hydrological forecasting, flood management, and climate analysis. While dense rain gauge networks provide high accuracy point measurements, they often fail to capture the spatial variability of intense rainfall events. Conversely, weather radar offers broad spatial coverage but can suffer from measurement uncertainties. Integrating these two complementary data sources is therefore essential.
However, conventional approaches for rain gauge quality control (QC) are largely manual and time-consuming, often taking months to complete — rendering them unsuitable for real-time applications such as flood warnings. Similarly, establishing a robust quantitative relationship between radar reflectivity and ground-truth rainfall is a computationally intensive spatial regression problem, limiting its operational use.
Although established methods exist for QC, radar–gauge integration, and rainfall characterization, their high computational cost restricts their application in near-real-time workflows. For instance, geostatistical techniques are considered the gold standard for radar–gauge merging, but they rely on slow serial processing. Manual delineation of heavy rainfall regions is also subjective and not scalable.

Project Aims:
1. Near-Real-Time Quality Control:
Implement parallelized QC routines to enable near-real-time validation of rain gauge data.

2. Automated Heavy Rainfall Identification:
Adapt existing methods to objectively delineate areas of intense rainfall using thresholding and spatial connectivity algorithms.

3.High-Performance Spatial Analysis:
Optimize current spatial analysis workflows to efficiently handle high-resolution radar data in real time.

The final outcome will be a scalable and robust framework capable of integrating radar and gauge data efficiently. The system will be demonstrated by automatically identifying and analysing the ten largest daily rainfall events over a recent two-year period, supporting rapid climate diagnostics and improved real-time flood forecasting.

Skills required:
Applications are welcome from 3rd and 4th year undergraduate students and to postgraduate students at the MSc and PhD level

Location
The intern will be required to attend Met Éireann’s headquarters twice a week, with the option for blended (remote) working on the remaining days, in line with the practices of their assigned division. For the Climate Services Division, the designated anchor days are Tuesday and Thursday.

Renumeration
Interns will be paid on point 1 of the Temporary Clerical Officer scale €596.11 per week.

Applications
The closing date for applications is Friday, 6th February 2026 at 5pm.

Additional Information
Application Form

Applicants should submit completed application forms to internships@met.ie

Advertising Date
05/01/2026

Closing Date for Applications
06/02/2026 at 5pm

The intern will contribute to climate research by working directly with global and regional climate models, with a particular focus on the North Atlantic and Ireland. They will support data analysis activities, including evaluating model performance against observational and reanalysis datasets, assessing projected climate extremes, and exploring the physical processes driving climate change. As part of the modelling workflow, the intern will gain hands-on experience running and analysing climate simulations, while also assisting with aspects of model development such as performance tuning. The role will additionally involve researching and testing innovative techniques and methodologies to enhance climate modelling capabilities and improve scientific understanding of future climate behaviour.

Project Aims:
The internships will aid and assist the climate modelling unit’s ongoing work, including in the areas of analysis, model development and research. They will also develop the student’s knowledge and skills in the area of climate modelling and climate research, and will serve to build capacity in this area nationally in the form of training future scientists and potential future Met Éireann staff

Skills Required / Desired
Strong programming and analytic skills are required, for example in Python, R and similar high-level languages. A background or familiarity with meteorology, oceanography or climate science would be beneficial but not strictly necessary.
Applications are welcome from 3rd and 4th year undergraduate students and to postgraduate students at the MSc and PhD level

Location
The intern will be required to attend Met Éireann’s headquarters twice a week, with the option for blended (remote) working on the remaining days, in line with the practices of their assigned division. For the Research & Applications Division, the designated anchor days are Tuesday and Thursday.

Renumeration
Interns will be paid on point 1 of the Temporary Clerical Officer scale €596.11 per week.

Applications
The closing date for applications is Friday, 6th February 2026 at 5pm.

Additional Information
Application Form

Applicants should submit completed application forms to internships@met.ie

Please note: only applications submitted on the official application form will be considered.

Advertising Date
05/01/2026

Closing Date for Applications
06/02/2026 at 5pm

The intern will contribute to climate research by working directly with global and regional climate models, with a particular focus on the North Atlantic and Ireland. They will support data analysis activities, including evaluating model performance against observational and reanalysis datasets, assessing projected climate extremes, and exploring the physical processes driving climate change. As part of the modelling workflow, the intern will gain hands-on experience running and analysing climate simulations, while also assisting with aspects of model development such as performance tuning. The role will additionally involve researching and testing innovative techniques and methodologies to enhance climate modelling capabilities and improve scientific understanding of future climate behaviour.

Project Aims:
The purpose of this project is to investigate the use of Met Éireann’s gridded observations products (GOP) for rainfall and temperature, as produced by the Climate Services Division (CSD), in the verification of our operational numerical weather prediction (NWP) model. The main goal is to rigorously assess the suitability of these observations for NWP verification and, if appropriate, enhance the existing NWP verification over Ireland by integrating them into the operational system. This project would build upon previous work into this topic carried out in the Research and Applications Division (see NWP Note 2024/02) and would involve the following tasks. The initial focus would be on rainfall verification with an extension to temperature verification if time allows.

• Review existing in-house tools for the comparison of NWP forecasts and GOP.
• Implement and assess several spatial verification scores using the GOP.
• Extend the previous work on United Weather Centres-West (UWC-W) reforecast rainfall verification to the full reforecast period.
• Compare verification results when using the “official” (full quality control) and “near real-time”
  (minimal quality control) GOP.
• Assess the integration of the observation data into the existing UWC-W verification infrastructure.
• If deemed appropriate, operationalise verification against the GOP in UWC-W.
• If deemed appropriate, develop an interactive visualisation tool to display gridded observation verification results for developers and forecasters

Skills Required / Desired
Applications are welcome from 3rd and 4th year undergraduate students and to postgraduate students at the MSc and PhD level

Required:

• Familiar with R (preferable) and/or Python.
• Experience with data processing, analysis, visualisation and basic statistics.
• Undergraduate

Desired:

• Familiar with Linux/Unix environment

Renumeration
Interns will be paid on point 1 of the Temporary Clerical Officer scale €596.11 per week.

Location
The intern will be required to attend Met Éireann’s headquarters twice a week, with the option for blended (remote) working on the remaining days, in line with the practices of their assigned division. For the Research & Applications Division, the designated anchor days are Tuesday and Thursday.

Applications
The closing date for applications is Friday, 6th February 2026 at 5pm.

Additional Information
Application Form

Applicants should submit completed application forms to internships@met.ie

Advertising Date
05/01/2026

Closing Date for Applications
06/02/2026 at 5pm