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Research Assistant (Part Time, Fixed Term)

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Cambridge

AI generated summary

  • You should have experience in image processing, statistical modeling, machine learning, and ideally field data collection. Familiarity with API development and basic web design is a plus.
  • You will process SMAP satellite images, apply mixed-effects models and machine learning, and assist in API development for a digital tool aiding peatland management.

Requirements

  • experience in image processing
  • statistical modelling
  • machine learning
  • Familiarity with field data collection or related environmental sciences is highly desirable
  • experience with API development and basic web design would be advantageous

Responsibilities

  • The successful candidate will contribute to the project through advanced image processing of the Soil Moisture Active Passive (SMAP) satellite product and the application of linear mixed-effects models and machine learning algorithms.
  • These methods will be merged to support the derivation of an analytical equation for water table depth estimation.
  • Additionally, experience with API development and basic web design would be advantageous, as the final product will be delivered as an accessible digital tool for farmers and related researchers.
  • This is a unique opportunity to work at the intersection of data science, environmental modelling, and field research, contributing to a high-impact project aimed at supporting peatland management.

FAQs

What is the duration of the Research Assistant position?

The position is fixed-term for 6 months in the first instance.

What qualifications are required for this role?

The ideal candidate should have experience in image processing, statistical modeling, and machine learning, along with familiarity in field data collection or related environmental sciences.

Is it necessary to have experience with web design for this position?

While not required, experience with API development and basic web design would be advantageous, as the final product will be an accessible digital tool.

How will the work be conducted?

The work will be conducted as part of an interdisciplinary team focusing on the development of a mathematical model for estimating water table depth in global peatlands.

What skills will be primarily utilized in this role?

The primary skills utilized will include advanced image processing of satellite products, application of linear mixed-effects models, and machine learning algorithms.

Are there any specific software or programming languages that the candidate should be familiar with?

While not explicitly mentioned, familiarity with software related to image processing, statistical analysis, and machine learning is expected.

How should I apply for the position?

You can apply by clicking the 'Apply' button on the job listing to register an account with our recruitment system and apply online.

What should I do if I do not hear back after applying?

If you have not received any news from us one month after the closing date, you should consider that your application has not been successful.

What reference number should I include in my application?

Please quote reference PD45801 in your application and any correspondence regarding this vacancy.

Does the University encourage diversity in its applicants?

Yes, the University actively supports equality, diversity, and inclusion and encourages applications from all sections of society.

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