Academic employee position for the Center for Quantitative Genetics and Genomics (QGG) - Vacancy at Aarhus University

Purpose and description of the position:

The “green transition” motivates sustainable food production. Among the number of sustainability factors, the level of livestock-derived methane emissions is one of the key factors to drive the climate change. To ensure sustainability in relation to methane emissions from dairy cattle, continuous emissions monitoring and diverse emission mitigation strategies are of great interest.
In this context, a sniffers-based gas emission measurement technique plays a crucial role. Unfortunately, the quality and reliability of acquired data from sniffers are of great concern due to the faults associated with the technique’s hardware and data pipeline. A number of factors and their interplay form a complex unpredictable system of emission variations leading to an embedded noise that is constantly appearing in sniffer-sourced records.


The aim of this position is to advance the sniffers technique to allow high-capacity and high-quality operations and results. In particular, develop and validate a fully automated pipeline, enabling effective monitoring and treatment of methane emission records from sniffers, with software modules performing equipment faults detection, data filtering and quality control, to provide condensed reliable phenotypes records ready for quantitative genetic analysis, breeding value estimation and design of emission mitigation strategies.

Tasks and responsibilities:

 Using the developed at QGG software perform regular gas emission data processing and management.

• Keep track of the gas emission data updates and a status of on-site devices (sniffers) using the internal QGG software.
• Develop an automated data processing pipeline for HPC (linux-based) environment.
• Contribute to the QGG internal database development.
• Contribute to development of necessary database interfaces allowed an automated data insertion/extraction as well as data pre- and post-processing services.
• Contribute to the development of various QGG based software products.

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