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Post-Doctoral Fellow in Machine Learning for Molecular Prediction of Inflammatory Bowel Disease

Ledig stilling

Post-Doctoral Fellow in Machine Learning for Molecular Prediction of Inflammatory Bowel Disease

København

Ansøgningsfrist: 27.07.2026

  • Afdeling: Department of Clinical Medicine

  • Ref. nummer: 2026/885

  • Ansættelsestype: Fuldtid

København

Ansøgningsfrist: 27.07.2026

Afdeling: Department of Clinical Medicine

Ref. nummer: 2026/885

Ansættelsestype: Fuldtid

Ledig stilling

Post-Doctoral Fellow in Machine Learning for Molecular Prediction of Inflammatory Bowel Disease

København

Ansøgningsfrist: 27.07.2026

  • Afdeling: Department of Clinical Medicine

  • Ref. nummer: 2026/885

  • Ansættelsestype: Fuldtid

København

Ansøgningsfrist: 27.07.2026

Afdeling: Department of Clinical Medicine

Ref. nummer: 2026/885

Ansættelsestype: Fuldtid

The National Center of Excellence for Molecular Prediction of Inflammatory Bowel Disease (PREDICT), based at Department of Clinical Medicine, Aalborg University (AAU) in Copenhagen, is looking to recruit a talented researcher for a 2-year, full-time postdoc in machine learning from 1 October or soon thereafter.

 

Your work tasks

We are looking to recruit an excellent postdoctoral fellow to apply machine learning to rich molecular data and uncover the molecular basis of IBD. The successful candidate will build prediction models from high-dimensional molecular measurements, with a particular focus on proteomics, to identify early markers of disease onset and progression. The role centers on three connected themes: using molecular data for prediction, integrating signals across molecular modalities into multi-omic models, and drawing on genetics to test whether the resulting signals are causal. 

The postdoctoral fellow will play a key role in multiple research projects, with responsibilities including study design, data analysis, manuscript preparation, presenting findings at international conferences, and mentoring students.

 

Your competencies

The ideal candidate has:

A PhD in machine learning, computer science, bioinformatics, computational biology or biostatistics Proven expertise in machine learning applied to molecular or other high-dimensional data Experience working with IBD or other immune-mediated diseases is desirable Familiarity with molecular data and multi-omic integration A history of high-quality publications Excellent writing and communication skills in English A proactive mindset and the ability to work both independently and collaboratively Strong teamwork and interpersonal skills Experience using genetic data (e.g., Mendelian randomization or related approaches) to assess causality is preferred but not required.

 

Qualification requirements

Appointment as postdoc requires academic qualifications at PhD level.

Who we are

PREDICT is at the forefront of international research to unravel the cause and prognosis of inflammatory bowel diseases (IBD), which are chronic and disabling conditions affecting millions of people worldwide. The Center is composed of clinicians, epidemiologists, laboratory, and data scientists working with collaborators nationally and internationally to push the boundaries of precision medicine research and create real-world impact in IBD. We have state-of-the-art facilities within the center and this means through PREDICT you will be part of a well-funded research environment equipped with the latest technologies, unique data, and a world leading network of collaborators.

 

About the Department of Clinical Medicine

The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and conducts research within the clinical specialties. Read more about the Department of Clinical Medicine here

We offer

We offer an exciting postdoc position in a dynamic, informal, high-performing environment with dedicated, friendly colleagues.

 

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 (master's degree diploma and PhD diploma) 
  • 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. 
  • Documentation of teaching qualifications if relevant.
  • 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. 

 

Do you have any questions? 

If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.    

 

Further information 

Website: PREDICT

LinkedIn: The National Center of Excellence for Molecular Prediction of Inflammatory Bowel Disease

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) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish). 

There is a mutual probationary period of 3 months for the position.

Aalborg University - Knowledge for the world
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.

Contacts

  • Aleksejs Sazonovs: alesaz@dcm.aau.dk

Ansættelsestype

Full time

Ref. nummer

2026/885

Ansøgningsfrist

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