PostDoc position in probabilistic machine Learning

Are you passionate about probabilistic machine learning and its potential to address real-world scientific challenges? At Aalborg University, Denmark, we invite you to join a collaborative project at the intersection of advanced probabilistic machine learning and microbial bioscience. This position offers a unique opportunity for developing novel probabilistic ML methods with a view towards bioinformatics and modeling of the complex microbial communities that shape our word.

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 such as sequenced microbial DNA fragments coupled with auxiliary environmental data. 

The position is initially for one year, with the possibility of an extension for up to 2 years based on mutual agreement.

Starting date: August 15th, 2025, or soon thereafter.
   
Your work tasks     
This position is part of the VILLUM Synergy project “Illuminating microbial dark matter through data science”, an exciting cross-disciplinary probabilistic machine learning project with applications in bioscience. As part of the project, you will be involved in

• Conducting original research in probabilistic machine learning, within the topics mentioned above, focusing on generative and Bayesian models relying on methods ranging from mathematics, algorithmic design, to implementation, and experimentation. 
• Analyzing large-scale environmental datasets to recover and explore microbial genomes. 
• Collaborating with researchers in computer science and biosciences to produce original and high-impact research. 
• Publishing your findings in top-tier international conferences and journals within machine learning and computer science.    

Your competencies    

• PhD in computer science, statistics, 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).

Qualification requirements 
Appointment as postdoc requires academic qualifications at PhD level.  
 
Who we are     
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. For more information see Visit Aalborg  .

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. 

The department has a strong profile within artificial intelligence and machine learning. The AI-ML team at the department is a multidisciplinary group of researchers working on various aspects of AI and machine learning. The group gathers more than 40 researchers, covering diverse aspects of machine learning ranging from methodological developments to application-oriented research. 

For further information, please contact Abdulkadir Celikkanat (abce@cs.aau.dk), Katja Hose (khose@cs.aau.dk), Andres Masegosa (arma@cs.aau.dk), or Thomas Dyhre Nielsen (tdn@cs.aau.dk).

How to apply  
Your application must include the following:

• Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
• Curriculum Vitae (CV)
• Diplomas  
• List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of five publications. If you are applying for a position at The Faculty of Social Sciences and Humanities (SSH), you must submit a co-author statement, see template for co-author statement
• Dissemination qualifications, including participation on committees or boards, participation in organisations etc.
• Additional qualifications in relation to the position
• References/recommendations

 You can read more about the requirements for your application here.    
The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University's website.  
Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position.  
  
Further information   
Read more about our recruitment process here   
The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.  
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.    
 
Salary and terms of employment  
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 (in Danish) and protocol on certain terms of employment of academic staff at universities (in Danish). 
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) (in Danish) and protocol on certain terms of employment of academic staff at universities (in Danish). 
 
Aalborg University is an international workplace with more than 3,700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers, students, and public and private companies. This is how we achieve insights, new solutions to societal problems, and knowledge that changes the world. Our main campus is in Aalborg, but we also have campuses in Esbjerg and Copenhagen.