PhD Position in Remote Sensing and Modelling of Polar Clouds

8 Feb 2024
Job Information

Organisation/Company

Utrecht University

Research Field

Physics

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

28 Feb 2024 - 22:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

40.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Are you a researcher aspiring to obtain a PhD degree and interested in working with satellite data and climate models? Then this might be a great job opportunity for you!

Your job
You will start the project with writing code for a fast and seamless on flight track comparison of EarthCARE observations with climate model data. This code will be published as open source, supporting international collaborations. Next, you will improve the representation of clouds in our regional climate model RACMO using the first year of EarthCARE data, in combination with existing observations. In the second half of the project, you will use the expanding set of EarthCARE observations to assess and publish the first accurate cloud climatology over Greenland and how clouds impact the surface mass balance of the Greenland Ice sheet.

This challenging research position requires developing a good understanding of climate modelling and remote sensing. You will work with experts from both fields to become an expert in the remote sensing of clouds, their model representation, and the polar climate. For 15% of your time, you are expected to assist in the teaching at the Department of Physics of Utrecht University.

Requirements
Specific Requirements

We are looking for an enthusiastic PhD candidate with a passion for climate and coding. Besides that:

• You hold a MSc degree in (geo/astro)physics, Earth sciences, engineering, or mathematics.
• You have a keen interest to unravel physical atmospheric processes.
• You possess strong coding skills, reflected by the ability to write new code and to understand existing code.
• You ideally have (some) experience with (regional) climate models, high performance computing and/or remote sensing data analysis.
• You can work independently as well as within a team and with external collaborators.
• Excellent English writing and speaking skills are required for this position.

Additional Information
Benefits

We offer:

• a position for four years;
• a working week of 36 hours and a gross monthly salary between €2,770 and €3,539 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU);
• 8% holiday pay and 8.3% year-end bonus;
• a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.

In addition to the terms of employment laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development , leave schemes and schemes for sports and cultural activities , as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University .

Selection process

As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.

To apply, please send your curriculum vitae, including a letter of motivation, via the ‘apply now’ button.

Additional comments

If you have any questions that you’d like us to answer, please contact Willem Jan van de Berg at [email protected] .

Do you have a question about the application procedure? Please send an email to [email protected] .

Are you an international applicant? Our International Service Desk can answer your questions about living in the Netherlands as international staff .

Website for additional job details

https://www.academictransfer.com/337539/

Work Location(s)

Number of offers available

1

Company/Institute

Universiteit Utrecht

Country

Netherlands

City

Utrecht

Postal Code

3584CC

Street

Princetonplein 5

Geofield

Where to apply

Website

https://www.academictransfer.com/en/337539/phd-position-in-remote-sensing-and-m…

Contact

City

Utrecht

Website

http://www.uu.nl/

Street

Domplein 29

Postal Code

3512 JE

STATUS: EXPIRED