Launch week offerEnds in00h00m00s

Publisher
source

Irene Julca

7 months ago

PhD fellowship/scholarship

PhD positions in plant computational biology, comparative genomics and machine learning at Aarhus University Aarhus University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

PhD fellowship/scholarship at Aarhus University’s Graduate School of Technical Sciences within the Quantitative Genetics and Genomics programme. Salary and terms of employment are in accordance with the applicable collective agreement. No tuition amount is stated; the post is presented as a funded PhD fellowship/scholarship rather than a self-funded place.

Deadline

Expired

Country flag

Country

Denmark

University

Aarhus University

Suggested scholarships

Publisher
source

University

Country flag

Germany

PhD Scholarship (Science and Impact Hub) 2027 — CGIAR++ / German Universities. This post advertises a fully funded doctoral opportunity for research at a German university, with attachment to global CGIAR++ research. The project focus is on agricultural and environmental studies, with a strong computational angle for deploying bioinformatics pipelines on massive crop datasets. Funding includes a EUR 1,800 monthly stipend plus a EUR 25,000 research grant. The deadline shown in the post is 30 Nove...

Computer Science
Environmental Science
Agriculture
+5 more

3 weeks ago

Publisher
source

Marek Mutwil

University of Copenhagen

Country flag

Denmark

These two PhD fellowships are part of the Marie Skłodowska-Curie Doctoral Network Stripes&Stars at the Department of Plant and Environmental Sciences (PLEN), University of Copenhagen . The positions sit within an AI-driven effort to uncover plant metabolic pathways linked to flower and fruit colour, with a particular focus on specialised metabolites such as anthocyanins and other flavonoids in petunia, calibrachoa, poinsettia and bilberry. The two doctoral candidates will form the computational ...

Computer Science
Chemistry
Environmental Science
+9 more

2 days ago

Publisher
source

Human Technopole

Country flag

Italy

Human Technopole (HT) in Milan, Italy, is inviting international applicants to its Fall 2026 call for fully funded PhD positions. The programme is designed for doctoral research in life sciences and related interdisciplinary fields. Research areas listed in the announcement include biotechnology, bioinformatics, computational biology, data science and other connected areas of life-science research. The programme may suit students interested in biological systems, computational methods, data-driv...

Computer Science
Data Science
Biotechnology
+4 more

1 week ago

Publisher
source

Bingjie Li

Aarhus University

Country flag

Denmark

PhD opportunity at Aarhus University, Denmark in the Graduate School of Technical Sciences, within the Quantitative Genetics and Genomics programme. This project is hosted by the Center for Quantitative Genetics and Genomics (QGG), a leading research environment in cattle breeding and quantitative genetics. The PhD will use large-scale phenotypic data from advanced technologies such as the CFIT 3D camera system, developed in collaboration with VikingGenetics, together with feeding parameters and...

Computer Science
Environmental Science
Agriculture
+10 more

2 weeks ago

Publisher
source

University of East Anglia

Country flag

United Kingdom

[Fully funded studentship covering fees, maintenance stipend of £21,805 p.a. for 2026/27, and a research training and support grant (RTSG). Limited studentships available for international applicants with home/international fee difference waived; does not cover visa or health surcharge costs.] PhD Studentship: The Net Effect of Sex on Adaptation at the University of East Anglia explores a fundamental evolutionary question: why is sexual reproduction so widespread, and what is the long-run balanc...

Computer Science
Evolutionary Biology
Population Genetics
+8 more

3 weeks ago

Keywords

Computer Science
Machine Learning
Evolutionary Biology
Agriculture
Deep Learning
Biology
Plant Breeding
Artificial Intelligence
Computational Biology
Comparative Genomics
Statistics
Bioinformatic

About this position

Two PhD positions are open in the Evolution and comparative multi-omics / Computational Genomics Research Lab at Aarhus University, hosted by the Center for Quantitative Genetics and Genomics (QGG) in Denmark. The openings sit within the Quantitative Genetics and Genomics programme at the Graduate School of Technical Sciences and focus on plant genomics, comparative genomics, phylogenomics, bioinformatics, machine learning, and deep learning.

PhD candidate in plant computational biology: this project studies gene duplication, functional divergence, and the evolution of agronomically important traits in domesticated plants. The work combines comparative genomics, evolutionary analyses, and computational approaches across multiple crop species to identify candidate genes relevant for crop research and future breeding.

PhD candidate in comparative genomics and machine learning for plant biology: this project develops computational tools to prioritise candidate genes by integrating evolutionary and functional information. The selected student will work on algorithms, deep learning/AI methods, gene redundancy and pleiotropy, and trait-associated genes such as flowering time and root architecture.

Eligibility highlights include a relevant Master’s degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field; programming experience in Python or R; interest in plant genomics, evolutionary biology, or comparative genomics; and strong English communication skills. Familiarity with machine learning or deep learning is a plus.

Funding: these are PhD fellowship/scholarship positions, with salary and employment terms according to the applicable collective agreement. The post does not mention a tuition waiver or a specific stipend amount.

Deadline: 31 May 2026, 23:59 CEST. Preferred start dates are 1 September 2026 for the plant computational biology project and 1 October 2026 for the comparative genomics and machine learning project.

How to apply: submit the application through the Aarhus University portal linked in the announcement, follow the application guide, and upload the required project description PDF plus mandatory attachments before the deadline. For questions, contact Professor Torben Asp and Assistant Professor Irene Julca at QGG.

Funding details

PhD fellowship/scholarship at Aarhus University’s Graduate School of Technical Sciences within the Quantitative Genetics and Genomics programme. Salary and terms of employment are in accordance with the applicable collective agreement. No tuition amount is stated; the post is presented as a funded PhD fellowship/scholarship rather than a self-funded place.

What's required

Applicants must hold a relevant Master’s degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field. Required or preferred competences include programming in Python or R, familiarity with machine learning or deep learning methods, interest in plant genomics, evolutionary biology, or comparative genomics, and proficient written and spoken English communication skills.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the provider.

Professors

Professor

University Name
Country flag

Denmark

Research Interests

Crop Science

Agronomy

Quantitative Trait Loci (qtl) Mapping

Plant Breeding

Genomic

Assistant Professor

University Name
Country flag

Denmark

Research Interests

Statistics

Cell Biology

Comparative Genomics

Biology

Computer Science

Professor

University Name
Country flag

Denmark

Research Interests

Artificial Intelligence

Statistics

Biology

Comparative Genomics

Evolutionary Biology