Research Fellow in weather forecast postprocessing with Machine Learning - School of Geography, Earth and Environmental SciencesGrade 7

Research Fellow in weather forecast postprocessing with Machine Learning - School of Geography, Earth and Environmental SciencesGrade 7

Full-Time 36130 - 45413 € / year (est.) No home office possible
Dr Jobs

At a Glance

  • Tasks: Develop and test Machine Learning methods for improving weather forecasts in India.
  • Company: Join the University of Birmingham, a diverse and inclusive institution committed to innovation and sustainability.
  • Benefits: Enjoy a competitive salary, potential for progression, and opportunities for international travel.
  • Other info: Contribute to research funding bids and supervise students while promoting equality and diversity.
  • Why this job: Make a real impact on weather forecasting while collaborating with experts in a supportive environment.
  • Qualifications: PhD or nearing completion in a quantitative field; strong programming and analytical skills required.

The predicted salary is between 36130 - 45413 € per year.

DescriptionPosition DetailsSchool of Geography Earth and Environmental SciencesLocation: University of Birmingham Edgbaston Birmingham UKFull time starting salary is normally in the range 36130 to 45413 with potential progression once in post to 48149Grade: 7Full Time Fixed Term contract for one year with a possibility of an extension for one more yearClosing date: 14th September 2025UK and International travel may be required for this role.BackgroundThis post willadvance the application of Machine Learning (ML) in weather forecasting and hydrological Research Fellow will develop ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation predictions and to generate hydrological forecasts.Role SummaryImplement and test different ML architectures for postprocessing precipitation forecasts over India.Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing skill for heavy precipitation.Develop ML methods to predict hydrological variables from the weather forecasts.Publish the results in high-quality journals and present them at conferences.Contribute to generating fundingMain DutiesThe responsibilities may include some but not all of the responsibilities outlined below.Implement and test different Artificial Neural Network (ANN) architectures such as convolutional and encoder-decoder ANNs for postprocessing ensemble precipitationforecasts over India from the National Centre for Medium Range Weather Forecasting (NCMRWF) global ensemble prediction system (NEPS-G).Develop innovative specifications of input and output of postprocessing that account for the stochastic nature of precipitation and for systematic location errors in the original forecasts.Apply Interpretable AI concepts to make the postprocessing transparent and to improve the understanding of processes during heavy precipitation events over India.Implement the ML postprocessing methods on high performance computing systems in a way that is suitable for operational use.Implement and test different ML architectures such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and Kerala from the NEPS-G ensemble weatherforecasts.Develop research objectives and proposals for own or joint research with assistance of a mentor if requiredContribute to writing bids for research fundingApply knowledge in a way which develops new intellectual understandingDisseminate research findings for publication research seminars etcSupervise students on research related work and provide guidance to PhD students where appropriate to the disciplineContribute to developing new models techniques and methodsUndertake management/administration arising from researchContribute to Departmental/School research-related activities and research-related administrationContribute to enterprise business development and/or public engagement activities of manifest benefit to the College and the University often under supervision of a project leaderPresent research outputs including drafting academic publications or parts thereof for example at seminars and as postersProvide guidance as required to support staff and any students who may be assisting with the researchDeal with problems that may affect the achievement of research objectives and deadlinesPromotes equality and values diversity acting as a role model and fostering an inclusive working culture.Person SpecificationPhD or close to completion in a relevant quantitative field e.g. meteorology machine learning climate science physics mathematics statistics or related fields.Evidence of good understanding (or capacity to develop understanding) of statistics and ML.Evidence of a good understanding (or capacity to develop understanding) of meteorological processes and numerical weather prediction and preferably specific knowledge related to monsoon precipitation.Experience working with large meteorological datasets.Good programming skills in languages such as Python MATLAB or R.Familiarity with UNIX/LINUX.High level analytical capability.Ability to communicate complex information clearly.Ability to assess resource requirements and use resources effectively.Understanding of and ability to contribute to broader management/administration processes.Contribute to the planning and organising of the research programme and/or specific research project.Co-ordinate own work with others to avoid conflict or duplication of effort.Knowledge of the protected characteristics of the Equality Act 2010 and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly.Informal enquiries to Martin Widmann email: We believe there is no such thing as a typical member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability which is a key part of our strategy. You can find out more about our work to create a fairer university for everyoneon our website. Key Skills Bioinformatics,Genetics,R,Biochemistry,Cell Biology,Research Experience,Statistical Software,Cell Culture,Molecular Biology,Data Analysis Skills,Flow Cytometry,Microscopy Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 36130 - 45413

Research Fellow in weather forecast postprocessing with Machine Learning - School of Geography, Earth and Environmental SciencesGrade 7 employer: Dr Jobs

The University of Birmingham is an exceptional employer, offering a vibrant and inclusive work culture that values diversity and innovation. As a Research Fellow in the School of Geography, Earth and Environmental Sciences, you will have access to cutting-edge resources and opportunities for professional growth, including mentorship and collaboration on impactful research projects. Located in the heart of Birmingham, the university provides a supportive environment where your contributions to advancing machine learning in weather forecasting can thrive, alongside a commitment to sustainability and community engagement.

Dr Jobs

Contact Detail:

Dr Jobs Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Fellow in weather forecast postprocessing with Machine Learning - School of Geography, Earth and Environmental SciencesGrade 7

Tip Number 1

Familiarise yourself with the latest advancements in Machine Learning, particularly in the context of weather forecasting. This will not only help you understand the role better but also allow you to engage in meaningful discussions during interviews.

Tip Number 2

Network with professionals in the field of meteorology and machine learning. Attend relevant conferences or webinars where you can meet potential colleagues and mentors who can provide insights into the role and the research environment at the University of Birmingham.

Tip Number 3

Prepare to discuss your experience with large meteorological datasets and programming skills in Python, MATLAB, or R. Be ready to share specific examples of how you've applied these skills in past projects or research.

Tip Number 4

Showcase your understanding of the monsoon precipitation processes, especially in relation to India. This knowledge will demonstrate your commitment to the role and your ability to contribute effectively to the research objectives.

We think you need these skills to ace Research Fellow in weather forecast postprocessing with Machine Learning - School of Geography, Earth and Environmental SciencesGrade 7

PhD or close to completion in a relevant quantitative field
Strong understanding of Machine Learning techniques
Experience with Artificial Neural Networks (ANNs)
Proficiency in programming languages such as Python, MATLAB, or R
Familiarity with UNIX/LINUX operating systems
Ability to work with large meteorological datasets
High level analytical capability

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in machine learning, meteorology, and programming. Emphasise any projects or research that align with the role's focus on weather forecasting and hydrological predictions.

Craft a Strong Cover Letter:In your cover letter, express your passion for the field and how your background makes you a suitable candidate. Mention specific skills related to ML architectures and your understanding of meteorological processes.

Showcase Research Experience:Detail any previous research experience, especially if it involves large datasets or machine learning applications. Highlight publications or presentations at conferences to demonstrate your ability to disseminate research findings.

Highlight Technical Skills:Clearly list your programming skills, particularly in Python, MATLAB, or R, as well as your familiarity with UNIX/LINUX systems. This will show that you have the technical expertise required for the role.

How to prepare for a job interview at Dr Jobs

Showcase Your ML Knowledge

Be prepared to discuss your understanding of Machine Learning, particularly in the context of weather forecasting. Highlight any relevant projects or research you've conducted, especially those involving Artificial Neural Networks or similar architectures.

Demonstrate Statistical Acumen

Since the role requires a solid grasp of statistics, be ready to explain statistical concepts and how they apply to meteorological data. You might want to prepare examples of how you've used statistical methods in previous work or studies.

Familiarity with Meteorological Processes

Make sure you can articulate your understanding of meteorological processes, especially related to monsoon precipitation. Discuss any experience you have with large meteorological datasets and how you've worked with them in the past.

Prepare for Technical Questions

Expect technical questions related to programming languages like Python, MATLAB, or R. Brush up on your coding skills and be ready to solve problems or discuss algorithms that are relevant to the role.