Jobbeskrivelse

We invite applications for a 3-year PhD scholarship at DTU Energy. The project will integrate innovative physics-based atomistic modeling methods and data-driven inverse molecular design to develop new high-potential organic flow battery electrolytes with unprecedented stability. The computational work will be done in close collaboration with an experimental counterpart.

Responsibilities and qualifications

You will contribute to the development of a computational framework designed to predict the degradation mechanisms of organic electrolytes. The framework will rely on the exploration of molecular potential energy surfaces using machine-learned force fields.

In the subsequent stages, the project will focus on data-driven elucidation of structure–stability relationships, ultimately enabling the development of machine-learning models for the inverse design of improved electrolyte materials.

You will have a demonstrated aptitude for computational chemistry or related research. Any experience with machine-learning applications and/or modelling of chemical reactions will be an additional asset. Working knowledge of computational chemistry at the MSc level and of a modern computer programming language is expected.

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

Approval and Enrolment

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education.

Assessment

The assessment of the applicants will be made by Prof. Piotr de Silva and Prof. Juan Maria García Lastra.

We offer

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. The employment is expected to start in the first quarter of 2026.

Further information

Further information may be obtained from Prof. Piotr de Silva (pdes@dtu.dk). You can read more about DTU Energy at www.energy.dtu.dk.

Application procedure

Your complete online application must be submitted no later than 19 October 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

A letter motivating the application (cover letter)
Curriculum vitae
Personal statement on future career goals
Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
Letters of recommendation (optional)
Names and contact details of two references

You may apply prior to obtaining your master's degree but cannot begin before having received it. Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

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PhD scholarship in computational chemistry and machine learning for organic electrolyte stability - DTU Energy

DTU Energy

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