Postdoc in Data Science in the area of statistical signal processing and time series aanalysis of greenhouse gas emission data

Job title:

Postdoc in Data Science in the area of statistical signal processing and time series aanalysis of greenhouse gas emission data

Company:

Aarhus Universitet

Job description

Job profileThe Center for Quantitative Genetics and Genomics (QGG), Aarhus University seeks a data science postdoc to work with sensor-based greenhouse gas emission (methane) data from livestock. The position is for two years and starts from 1st October 2024 or as soon as possible thereafter.Purpose and description of the positionThe “green transition” motivates sustainable food production. Among the number of sustainability factors, the level of 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.The position is interdisciplinary and covers the area of statistical signal processing, stochastic processes and time series analysis, mathematical modelling / computational biology and software development. The specific research activities will be adjusted according to a successful candidate’s area of expertise, however the overall focus in the project involves the following tasks and responsibilities.Tasks and responsibilities

• Develop methods of fault detection for snifferes measurement system.
• Develop methods of noise filtering for sniffer-sourced gas emission data.
• Develop a mathematical model of methane emission phenotypes.
• Implementation of developed methods in relevant software.
• Summarize and publish the obtained results in relevant scientific journals.

Who are we and what can we offer?is an international research center with more than 70 employees and visitors from more than 20 nations worldwide. We offer a dynamic research environment where we value ownership, responsibility and a respectful work place culture. We conduct basic and applied research within quantitative genetics and genomics and our research is characterized by a very close collaboration with industry partners. Hence, you will be part of a research environment where results are put practice and are used by industry and in public sector consultancy to facilitate the green transition. QGG is part of , a world class university. The city Aarhus is an exciting place to live with a strong and a high standard of living.Academic qualificationsApplicants should hold (or be expected to hold) a PhD degree in electrical engineering, statistics, physics, applied mathematics, computer science, or other related fields with a strong statistical and programming background.The ideal candidate will

• Have the knowledge and experience, supported by the related scientific publication records, of developing models and/or automated data processing.
• Have some experience in software development.
• Knowledge in statistical signal processing is an advantage but not an absolute requirement.
• Have effective communication skills in written and spoken English, for the presentation of their research to various audiences – from experts to the general public.

Personal qualifications/social skills

• Have good interpersonal skills, ambitious, takes ownership and are scientifically self-motivated and creative.
• Can work both independently and in groups.
• Possess good communication skills, being friendly, helpful and able to contribute to a good work environment.

Place of workThe place of work is C. F. Møllers Allé 3, 8000, Aarhus C, in the centre of the Aarhus University main campus, and neighboring highly related departments.

Contact informationFurther information about the position may be obtained from Center leader and Professor, Mogens S. Lund, e-mail: , phone +45 20751222 or assistant professor, Viktor Milkevych, e-mail: vimi@qgg.au.dk.Application procedureShortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants.Letter of referenceIf you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in question before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline.
Unfortunately, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration.Formalities and salary rangeTechnical Sciences refers to the .The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be foundAppointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the .Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations.Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more . Please find more information about entering and working in Denmark .Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it .The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University’s website.Aarhus UniversityAarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more at

Expected salary

Location

Aarhus, Midtjylland

Job date

Wed, 14 Aug 2024 22:42:01 GMT

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