PhD in the analysis of the acid-base and electrolyte properties of blood in relation to pre-analytical errors
Role highlights
Full Time
Permanent
Intern
On-site
This PhD position focuses on the analysis of acid-base and electrolyte properties of blood, particularly addressing pre-analytical errors affecting blood measurements such as those from blood gas analyzers. The role requires strong expertise in mathematical modeling and experimental data collection related to blood chemistry changes caused by pre-analytical factors. Candidates should have a master's degree with a background in mathematics, engineering, or preferably biomedical engineering; medical degree holders with demonstrated mathematical modeling skills are also considered. The position involves conducting experimental work in international laboratories and collaborating within an international research group to apply mathematical models in clinical settings. There is potential to develop digital software solutions aimed at identifying and compensating for measurement errors. The role demands proficiency in experimental biomedical research, mathematical and computational modeling, and interdisciplinary collaboration, particularly between biomedical science and engineering domains. Eligibility for enrollment in the Doctoral School in Medicine, Biomedical Science and Technology is required. The candidate should be prepared to engage in research that combines clinical problem-solving with quantitative analysis and software development, contributing to advancements in respiratory and critical care diagnostics. This opportunity is situated within a research-intensive university environment that values diversity and international cooperation.
About the role
Role Summary
- PhD stipend available at the Faculty of Medicine, Department of Health Science and Technology, Aalborg University
- Part of the Biomedical Science and Engineering research programme
- Start date: March 1, 2026 or soon thereafter
- 3-year position within the respiratory and critical care group (rcare)
- Collaboration with Roche Diagnostics International
Responsibilities
- Address clinical problems related to errors in blood measurement, especially with blood gas analysers
- Collect experimental data on changes in blood due to pre-analytical errors
- Build mathematical models to describe these changes
- Potential development of digital software solutions for error identification and compensation
- Conduct experimental work in international laboratories
- Integrate into an international research group applying mathematical models clinically
Requirements
- Master’s degree with a mathematical/engineering background (preferably Biomedical Engineering)
- Candidates with medical degrees considered if they demonstrate mathematical modelling skills
- Must be eligible for enrolment as a PhD student at the Doctoral School in Medicine, Biomedical Science and Technology
Application Materials
- Application (max 2 pages) stating interest, motivation, and qualifications
- 1–2 page project proposal synopsis
- Detailed CV with contact information and scientific experience
- Certified diploma for master’s degree
- Other relevant documents
How to Apply
- Submit application via Aalborg University’s recruitment system (link in job advertisement)
- Include all required documents
- Please mention you found the job at Jobindex
Additional Information
- Assessment by qualified experts; shortlisting will be applied
- Risk assessment may be part of the hiring process
- Salary and terms according to Danish collective agreements and ministerial orders
- Aalborg University values diversity and encourages all qualified candidates to apply
- For questions, contact persons are listed at the bottom of the job post
- Save a copy of the job posting as it will be removed after the deadline
About Aalborg University
- International workplace with over 3,700 employees
- Main campus in Aalborg, with additional campuses in Esbjerg and Copenhagen
- Focus on real-world-oriented education and world-class research
Read more about the Doctoral School in Medicine, Biomedical Science and Technology
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