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Post Doctoral Researcher

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NUI Galway

6d ago

  • Job
    Full-time
    Entry Level
  • Data
    Research & Development
  • Galway
  • 17d left

AI generated summary

  • You need a PhD in Earth Observation Science, Remote Sensing, Physics, Astronomy, or Applied Mathematics, plus strong skills in applied computing and data analytics.
  • You will develop machine learning models to infer soil moisture from SAR data, create moisture index maps, archive data, and build a GUI/API for accessing these maps.

Requirements

  • PhD in Earth Observation Science, Remote Sensing, Physics, Astronomy or Applied Mathematics
  • Solid background in both applied computing applications and in data analytics

Responsibilities

  • The successful candidate will work as part of the AI Team of the TAPAS project in the development and application of machine learning based models to infer soil moisture from earth observation synthetic aperture radar (SAR) data, and to use this information to identify anomalies in soil moisture in biomass production.
  • The position involves working with the AI Team Lead to deliver a working prototype platform that generates moisture index maps at multiple spatial and temporal scales for specific sites under scrutiny by the TAPAS team.
  • Such work will involve the development of deep learning models and associated statistical methodologies to derive below ground soil moisture estimates from SAR data, the generation and archiving of the resulting global/local maps, and the development of a GUI/API system to facilitate access to these data for interested third parties.

FAQs

What is the duration of the Postdoctoral Researcher position?

The position is available from November 11th, 2024, to December 19th, 2024, with the possibility of extension under negotiation.

What are the required qualifications for this position?

Candidates must have a PhD in Earth Observation Science, Remote Sensing, Physics, Astronomy, or Applied Mathematics, along with a solid background in applied computing applications and data analytics.

What will the successful candidate be working on?

The successful candidate will work on developing and applying machine learning models to infer soil moisture from synthetic aperture radar (SAR) data and will help identify anomalies in soil moisture related to biomass production.

What is the salary range for this position?

The salary for the Postdoctoral Researcher is on a scale of €44,346 to €56,764 per annum, subject to the project’s funding limitations.

When is the deadline for applications?

The closing date for receipt of applications is 17:00 (Irish Time) on 24th October 2024.

Will the Postdoctoral Researcher be involved in data management?

Yes, the candidate will be involved in the generation and archiving of global/local moisture index maps and the development of a GUI/API system for data access.

Who will the successful candidate be working with?

The successful candidate will work as part of the AI Team of the TAPAS project and will collaborate closely with the AI Team Lead.

Is there a review process for the job description and requirements?

Yes, applicants are encouraged to review the full job description for further details and essential requirements.

Is prior experience in machine learning required for the position?

While specific prior experience in machine learning is not mentioned, a solid background in applied computing and data analytics is essential, which may include experience in machine learning methodologies.

Can I apply if my PhD is not in one of the specified fields?

It is advisable to have a PhD in the specified fields (Earth Observation Science, Remote Sensing, Physics, Astronomy, or Applied Mathematics) to meet the qualifications for the position.

NUI Galway

Ollscoil na Gaillimhe | University of Galway - The Sunday Times University of the Year 2022 and a registered charity.

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Mission & Purpose

The University of Galway is a leading higher education institution that offers a wide range of undergraduate and postgraduate programs across various disciplines. Their ultimate mission is to advance knowledge through innovative research and high-quality teaching, fostering intellectual and personal growth among students. Their purpose is to contribute to societal development by producing skilled graduates, conducting impactful research, and engaging with communities to address global challenges and drive progress.