PostDoc position in probabilistic machine Learning for microbial genomics (2025-224-06186)

PostDoc position in probabilistic machine Learning for microbial genomics (2025-224-06186)

Are you interested in exploring probabilistic machine learning to tackle important challenges in bioscience? Aalborg University, Denmark, invites you to join a collaborative project where probabilistic machine learning meets bioscience to address critical environmental issues and explore the complexities of microbial communities.
At the Technical Faculty of IT and Design, Department of Computer Science, a position as Postdoc is open for appointment from 15. March, 2025 or soon hereafter. The postdoc position is initially for one year, with the possibility of an extension for up to 2 years based on mutual agreement.

Jobbeskrivelse
We are seeking a highly motivated post-doctoral researcher to develop scalable probabilistic machine learning models and algorithms for representation learning, uncertainty quantification, and model interpretability over large, heterogeneous datasets. These include sequenced microbial DNA fragments enriched with auxiliary environmental data, providing exciting opportunities for novel research.

This position is part of the VILLUM Synergy project:“Illuminating microbial dark matter through data science”. You will be part of an exciting cross-disciplinary project combining probabilistic machine learning and bioscience, with a focus on methods for improving our understanding of the microbial communities in our environments. These communities play a vital role in most processes in the biosphere and are essential for solving present and future environmental challenges.

What you’ll do

• Design and implement probabilistic machine learning techniques, focusing on generative and Bayesian models.

• Analyze large-scale environmental datasets to recover and explore microbial genomes.

• Collaborate with researchers in computer science and biosciences to produce high-impact research.

• Publish your findings in top-tier international conferences and journals within machine learning and computer science.

We’re looking for a candidate with:

• PhD in computer science, bioinformatics, data science, or a closely related field.

• Expertise in probabilistic machine learning, optionally generative and Bayesian models.

• A strong publication record in relevant fields.

• Solid programming skills and a collaborative mindset.

• Excellent communication skills in English(written and oral).

Experience in interdisciplinary research is a plus!

Why Aalborg University?

The Computer Science Department at Aalborg University takes a leading international position within data management and verification. It is a very young university(1974) but with a strong international profile in Mathematics, Computer Science& Engineering, also hosting the two most highly cited Computer Scientists of the country. According to the most recent US News and World Ranking, Aalborg University ranks 4th in the world within the field of Engineering. According to a 2018 MIT report, Aalborg University is considered to have the 4th best engineering program in the world.

Why Aalborg?

Aalborg is a lively city with numerous cultural attractions. The area features relatively low cost of living, clean air, beautiful forests and beaches, and very good transportation infrastructure. A recent report on European cities ranks Aalborg highest:http://ec.europa.eu/regional_policy/sources/docgener/studies/pdf/urban/survey2013_en.pdf . For more information, see https://www.visitaalborg.com/ .

Qualification requirements
Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

• A motivated text wherein the reasons for applying, qualifications in relation to the position.

• A current curriculum vitae

• Copies of relevant diplomas(Master of Science and PhD- both in english).

• Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications

• Additional qualifications in relation to the position.

• Personal data.

The applications are only to be submitted online by using the"Apply online" button below.

Assessment
The assessment of candidates for the position will be carried out by qualified experts.

Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not.

When the hiring process is completed, a final rejection will be sent to the applicants who are not considered for the position.

Contact information
You may obtain further professional information from:

Professor Katja Hose([email protected]), Associate Professor Andres Masegosa([email protected]), or Professor Thomas Dyhre Nielsen([email protected]).

For further information concerning the application procedure please contact HR by [email protected]
Information regarding guidelines, ministerial circular in force and procedures can be seenhere.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.

Løn og ansættelsesvilkår
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities. Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state(AC collective agreement)(only in Danish) and circular concerning protocol on certain terms of employment of academic staff at universities(only in Danish).

Ansøgningsfrist
2025-02-09

Ref. nummer
2025-224-06186

Afdeling
Department of Computer Science