about us

We are looking for a talented and ambitious research colleague to join a pioneering multidisciplinary project at the intersection of arithmetic biology, the environment, statistical modeling and data analysis, where at least one knowledge of these disciplines is required.

It will join a highly influential initiative to develop a predictive mechanical framework for the interpretation of omics spatial data led by Murrel and Murrell Labs in UCL, in cooperation with OlhedE LAB at EPFL. Laboratory is recognized at the international level and has a busy record in the direction after the doctorate and job development, with all former researchers progressing to successful academic or industrial positions.

About the role

This is a unique opportunity for the leadership of the next generation of spatial text analyzes and the development of predictive models for tissue engineering and the cell dynamics of the cell community using tools inspired by ecology and spatial geographical science.

Spatial omics techniques revolutionized our ability to study genes and protein activity inside the tissues with high accuracy, but the current analysis curricula remain largely descriptive. This multidisciplinary project aims to develop mathematical methods that reveal spatial regulation and predict dynamic behaviors in complex tissue systems. Depending on the ideas of environmental science and network theory, you will build new tools for spatial biological processes. This will include:

• Developing the tools of spatial society to identify functional centers and cellular ecosystems in tissues.
• Implementation of dynamic modeling frameworks, combining models based on agent and nerve networks, to simulate tissue responses for disorders.
• Initial models and verification of the authenticity of the open source software tool for analysis of multi -tissue spatial data, which apply across systems including development, inflammation, renewal and cancer. This work will contribute to open source resources with extensive applications through developmental biology, diseases and renewal.

The interviews will take place in November.

The financing of this post is available until December 31, 2026 in the first place.

This role is qualified to work with a hybrid work with at least 60 % on the site.

The job description and person’s specifications can be accessed through the “App” button.

Close date: 02/11/2025 – 23:59 (UK time)

If you have any inquiries about the role, please contact Dr. Maria Serr. If you need reasonable adjustments or more easy formatting to apply to get this task online or have any inquiries about the application process, please contact the human resources official who explains the advertising reference number in the topic line.

About you

You must have:

• Doctorate degree (granted or close to ending) in biology, biomedical information, environment, statistics, applied mathematics, physics or a relevant field.
• Python, R, C/C ++ or similar programming skills, with experience deals with high -dimensional or spatial data.
• Interest in multidisciplinary work combines biology, environment, statistical modeling and data analysis. Knowledge is at least one, but not all, from these disciplines is required.
• A busy record for scientific publishing.
• The experience shown in the development/adaptation of mathematical models or algorithms to analyze biological or environment data, and experience with single or spatial cell data collections.

What we offer

In addition to the exciting opportunities that this role provides, we also offer some great advantages. Visit https://www.ucl.ac.uk/Work-at-ucl/reward-and-nefits To learn more.

Our commitment to equality, diversity and inclusion

You can read more about our commitment to equality, diversity and inclusion here: https://www.ucl.ac.uk/equality-diversity-inkllusion/

Customer Advertising Reference: B02-09563