BEMÆRK: Ansøgningsfristen er overskredet
The Center for Quantitative Genetics and Genomics (QGG) is expanding its research activities into two target areas. The first area is digital tools and machine learning applications in animal agriculture, which will involve interdisciplinary projects with experts from engineering, genetics, animal husbandry, and breeding. The second area is the advancement of theoretical and applied aspects of animal breeding plans to address societal needs such as maintaining high production efficiency, enhancing resilience, reducing environmental impact, promoting animal welfare, and preserving biodiversity.
Expected start date and duration of employment
1 January 2024 or as soon as possible thereafter.
Job description
The successful candidates for both positions will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, PhD students, and Postdocs. The primary objective of the research program is to promote sustainable animal breeding programs that address current societal needs and have a positive impact on animal-based food production systems. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition in animal agriculture. Additionally, the candidates will develop and maintain their own independent research program.
High-throughput phenotyping techniques will play a crucial role in enhancing the current breeding goals. These techniques will involve the use of innovative technologies such as imaging, sensors, and omics data to assess phenotypes and develop novel traits. The ideal candidate for the animal phenomics research position should possess a solid background in animal breeding and a strong interest in developing machine-learning methods for predicting phenotypes and analyzing agronomic traits. This offers exciting opportunities to work on the crossroads between developing new data science methods and shaping novel data-driven applications in animal breeding. The research will enable breeders of species such as cattle, pigs, poultry, fish, and insects to make genetic progress in novel and difficult-to-measure traits.
In contrast, the breeding plan research position requires expertise in developing breeding goals, optimizing breeding plans, and creating tools for strategic and operational breeding decisions or conservation genetics. This position will also require the ability to develop a competitive research program in these fields while collaborating with existing research areas within QGG.
The ideal candidate:
- Holds a PhD with a strong background in quantitative genetics and animal breeding with proven research experience in either applying machine-learning methods to computer vision applications, or breeding plan, backed by 2-4 years of relevant postdoctoral experience.
- Has a clear record of accomplishment of scientific impact and high-quality contributions to the field, which may include publications, presentations, book chapters, reports, patents, and scientific outreach activities.
- Demonstrates the ability to develop an independent research program and has a track record to secure research funding.
- Has a record of collaboration with academic and industry partners at regional, national, and international levels.
- Possesses proficiency in various programming languages (e.g., Python, R, and C++).
- Exhibits excellent teamwork skills and has experience collaborating with scientists across different disciplines to tackle real-world problems.
- Possesses effective communication skills and can communicate complex scientific concepts to diverse audiences, whether in academia, industry, or society.
- Shows interest in mentoring junior scientists with diverse skill sets, including research, communication, and career development.
If your research profile does not completely match the descriptions above but you have a theoretical background and are interested in developing one of the research areas mentioned, QGG would like to hear your motivation and future research plan.
Who we are
The Center for Quantitative Genetics and Genomics (QGG) is a vibrant and exciting interdisciplinary center for research and education in quantitative genetics and quantitative genomics. QGG has an international environment with 70 employees and visiting researchers from more than 22 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied to agriculture and precision medicine, population genetics, and integrative genomics. QGG is located at the central campus in Aarhus and at the AU Flakkebjerg campus in newly renovated offices with well-developed research infrastructure, laboratories, equipment, and high-performing computing clusters.
Website
What we offer
- A welcoming and collaborative atmosphere with close working relationships in teams, professionalism, equality and a healthy work-life balance.
- Training and international experience in public-private partnerships.
- Mentoring for career development.
- High-performance computational resources.
- A collaborative environment, in which the candidate will be able to share across research fields such as quantitative genetics, machine learning, bioinformatics, and population genetics and applications in agriculture.
- The position provides excellent possibilities for publications in peer-reviewed journals.
Place of work and area of employment
The place of work is C. F. Møllers Allé 3, 8000, Aarhus Denmark, and the area of employment is Aarhus University with related departments.
Contact information
Head of Center Mogens Sandø Lund, Phone: +45 2075 1222, e-mail: mogens.lund@qgg.au.dk
Deadline
Applications must be received no later than 1 September 2023.
Ensuring gender balance at the Department of QGG is a high priority at Aarhus University, and therefore, we particularly encourage women to apply for this position. No candidate will be given preferential treatment, and all applicants will be assessed on the basis of their qualifications for the position in question.
Technical Sciences Tenure Track
Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified candidates are appointed as Assistant Professors for a period of six years with the prospect of performance- based advancement to a tenured Associate Professorship.
The aim of the Technical Sciences Tenure Track Programme is to:
- attract outstanding talented individuals that are competitive at an international level
- to promote the early development of independent research success early in the career of scientists
- to create transparency in the academic career path
- access to research infrastructure
- capability development, including postgraduate teacher training
- a mentoring programme
- support to develop scientific networks and to secure interdisciplinary research at the highest level
Please refer to the tenure track guidelines for the tenure review criteria and for the tenure review process.
Application procedure
Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the assessment committee if necessary, – the head of department selects the candidates to be evaluated. The selection is made on the basis of an assessment of who of the candidates are most relevant considering the requirements of the advertisement. All applicants will be notified within 6 weeks 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 will receive his/her assessment. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants.
Letter of reference
If 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 range
Technical Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.
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 found here.
Appointment 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 Memorandum on Job Structure for Academic Staff at Danish Universities.
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 here. Please find more information about entering and working in Denmark here.
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 University
Aarhus 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 www.international.au.dk/
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aarhus Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aarhus Universitet, C.F. Møllers Allé 3, 8000 Aarhus C
-Ansøgning:
Ansøgningsfrist: 25-08-2023; - ansøgningsfristen er overskredet
Ved skriftlig henvendelse: https://AU.emply.net/recruitment/vacancyApply.aspx?publishingId=c2a17f2b-ec4e-4259-b7ef-6004e695a7f9
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5863088
