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Postdoc in Pharmaceutical Materials, University of Copenhagen, Denmark

The University of Copenhagen has four campus areas. As distances in Copenhagen are relatively small, it is easy to get from one campus to the other either by bicycle or public transportation. The campus areas are integrated into the city of Copenhagen and students use the facilities available in the city, adding a lively buzz to the streets and cafés of Copenhagen.

Postdoc in Pharmaceutical Materials: The Department of Pharmacy, University of Copenhagen, is seeking a highly motivated postdoctoral researcher for a 2-year position. The role involves developing and applying advanced data analysis methodologies for low-frequency Raman and Brillouin spectroscopy in the pharmaceutical field, starting on or after May 1, 2026.

Postdoc in Low-Frequency Vibrational Spectroscopy and Machine Learning for Pharmaceutical Materials

Designation

Postdoctoral Researcher

Table

DetailInformation
Research AreaPharmaceutical Sciences, Spectroscopy, Machine Learning
LocationDepartment of Pharmacy, University of Copenhagen
Eligibility/QualificationPh.D. in Pharmaceutical Sciences, Chemistry, Physics, Materials Science, or related fields
Employment TypeFull-time, Fixed-term (2 years)
SalaryStarting from 35,000 DKK/month (approx. 4,700 EUR)
Application DeadlineFebruary 28, 2026

Research Area

This position focuses on advancing chemometric and machine learning frameworks tailored to low-frequency vibrational and mechanical spectroscopy, particularly within complex, multicomponent pharmaceutical systems.

Location

Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark

Eligibility/Qualification

  • Ph.D. in Pharmaceutical Sciences, Chemistry, Physics, Materials Science, or a closely related experimental discipline.
  • Demonstrated experience in analyzing spectroscopic and/or physicochemical data using chemometric and/or machine learning approaches.
  • Excellent communication skills and proficiency in English.

Job Description

The successful candidate will:

  • Develop and refine data analysis strategies for low-frequency Raman and Brillouin spectroscopy.
  • Implement and benchmark machine learning models specific to spectroscopic inputs.
  • Collaborate and integrate data with complementary characterization techniques.
  • Participate in experimental measurements and contribute to scientific mentoring of students.
  • Engage in interdisciplinary collaboration within the pharmaceutical research community.

How to Apply

Interested candidates should submit their online application in English, including:

  1. A motivated letter of application (max. one page).
  2. CV detailing education, work/research experience, and relevant skills.
  3. Certified copies of the PhD and Master of Science certificates.
  4. List of publications.

Apply Now: University of Copenhagen Application Portal

Last Date for Apply

February 28, 2026, by 23:59 CET


For more information, contact Assistant Prof. Kārlis Bērziņš at karlis.berzins@sund.ku.dk.

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