About the opportunity
The BONDS project is a new long-term research initiative funded by the Novo Nordisk Foundation and led by Assoc. Prof. Janus Juul Eriksen at DTU Chemistry. It focuses on developing new decompositions of molecular properties into local contributions to gain key insights into functional groups and the bonds linking them. The successful candidate will help pioneer new computational tools, create optimized computer codes, and conduct large-scale applications to address grand challenges in chemistry and life sciences. DTU offers a rewarding, international, and collaborative environment characterized by academic excellence and freedom.
Salary and benefits
- Employment based on the collective agreement with the Danish Confederation of Professional Associations
- Negotiable salary supplements in accordance with DTU's salary structure for scientific staff
- A 2-year full-time postdoctoral contract starting 01 February 2027 (or according to mutual agreement)
- Opportunity to work in a strong, collaborative, and international research environment at DTU Chemistry
Who can apply?
- Must hold a PhD degree (or equivalent) in theoretical and computational chemistry, physics, statistics, machine learning, computer science, mathematics, or a related field
- Proven programming skills are highly desirable, with an emphasis on machine learning applied within chemical and physical sciences
- Ability to work both independently and as part of a collaborative team
- Confidence in both written and spoken English
- Candidates may apply prior to obtaining their PhD degree but cannot begin the position before formally defending and receiving it
Required documents
- Cover letter motivating the application
- Curriculum vitae
- Grade transcripts and B.Sc/M.Sc/PhD diploma (in English) including description of grading scale
- List of publications
- Research sample (such as a recent paper or preprint, and/or PhD thesis) along with a cover page containing a short paragraph explaining key contributions
- Possible letters of recommendation (can be forwarded directly via email)
When to apply
- Application deadline is 25 September 2026 at 23:59 Danish time
- Candidates are evaluated on a running basis prior to the deadline
- Expected starting date is 01 February 2027 (or according to mutual agreement)
How to apply
- Open the online application link via 'Apply now'
- Fill out the online application form
- Combine all required application materials into one single PDF file in English and upload it
Additional information
- The position is part of the BONDS project funded by the Novo Nordisk Foundation.
- DTU conducts open-source background checks on qualified candidates due to research in critical technology subject to export control rules.
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- PhD in theoretical chemistry, physics, or machine learning
- Proven programming skills applied to chemical or physical sciences
- Ability to work independently on large-scale computational projects
What should you think carefully about?
- Requires on-site work in Denmark
- Two-year fixed-term contract
- Subject to export control rules due to critical technology research
How could this fit your current goals and plans?
This postdoc is a prime opportunity for a computational scientist to pioneer new tools in the BONDS project. It offers the freedom to conduct high-level research in a collaborative environment, making it an excellent stepping stone for a career in advanced computational chemistry or life sciences.
Our take
Researchers who enjoy developing optimized computer codes and applying machine learning to fundamental chemical problems should consider this. Those seeking a long-term permanent contract should be aware of the two-year duration.
Ready to apply?
Review the opportunity on the official website before applying.
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