Part-time academic staff to help with processing and analysis of 4D micro computed tomography images – DTU Physics

We are looking for 1-3 students to help with image treatment and analysis, depending on the number of weekly hours. The project focuses on the analysis of 4D tomographic datasets acquired recently at different synchrotron beamlines. The experiments record the retention nanoparticles (NP) in sandy porous media during injection. 

The focus lies on developing a workflow for 4D image data analysis using python libraries. This involves:

• Preprocessing (denoising).
• Segmentation using different methods, optimization of existing codes to the individual data sets and manual correction.
• Application of different digital volume correlation (DVC) codes to correct for matrix movement and facilitate segmentation of the retained NP phase.
• Analysis of the retained NP phase in terms of spatial distribution, cluster growth and dislocation with time.
• Ultimately application of computational fluid dynamics (CFD) to obtain acting flow forces.

The workflow is currently being developed and depending on progress, and the availability of time and expertise of candidates the tasks will be divided.

Requirements
Python programming skills, familiarity with basic concepts of image data analysis and processing, structured approach for working with very large data sets, power of spatial perception, an interest in environmental science.

Salary and terms of employment
You will be employed as a part-time Academic employee, and salary and terms of employment are in accordance with the Danish Confederation of Professional Associations (AC) or similar.

The start date will be agreed upon with the candidate. We tentatively anticipate 1 July 2023. The position is time limited to the end of November 2023.

The place of work is DTU Lyngby Campus with an average working time of expected 6-30 hours per week, depending on the candidate's availability.

Application and contact
Please submit your online application no later than 16 June 2023 (Danish time). Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates. 

If you would like additional information about the position, please contact programme lead Adrian Alexander Schiefler: [email protected] .

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

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