Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Join our team to develop cutting-edge computational methods in chemistry and catalysis.
- Arbeitgeber: Be part of the University of Zurich's innovative Luber group, leading in computational chemistry.
- Mitarbeitervorteile: Enjoy a 4-year PhD position with opportunities for collaboration and advanced research.
- Warum dieser Job: Dive into exciting projects at the intersection of chemistry, biology, and physics while enhancing your skills.
- Gewünschte Qualifikationen: Must have a Master's degree in chemistry or related fields and strong programming skills.
- Andere Informationen: Submit your application as a single PDF, including a statement on relevant publications.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Open PhD position in computational chemistry 80 %
Open PhD position in computational chemistry 80 %
Start of employment by agreement, temporary
A 4-year PhD student position is available in the Luber group at the Department of Chemistry at University of Zurich (Switzerland).
Our group focuses on forefront computational methods at the interface of chemistry, biology, physics, and materials science. For more details, seeour group’s website
Your responsibilities
The PhD project will deal with development and application of novel, accurate approaches for the study of functional catalytic compounds. A possible direction of the project is the development of advanced dynamic approaches for detailed and realistic study of reaction mechanisms and reaction networks considering in a sophisticated manner environmental effects (also under catalytic conditions). This can include the development of advanced enhanced sampling and machine learning approaches.
Our group has broad experience in modelling of reactions using DFT-MD, catalysis (such as water splitting), spectroscopy, excited states, and development of various other methodologies (e.g. in the CP2K package).
The project(s) may be carried out in close collaboration with experimental or other computational groups, for instance within the NCCR catalysis.
Your profile
The candidate must hold an excellent Master’s degree in chemistry, interdisciplinary natural sciences, physics, or related, and have profound English and autonomous learning ability skills. The successful candidate will be highly creative, ambitious, and motivated. Strong programming skills and very good knowledge about electronic structure theory, (ab initio) molecular dynamics, catalysis, and machine learning are an advantage.
Information on your application
Interested applicants are encouraged to submit their application documents (cover letter, CV, diplomas, description of research experience and motivation, names of at least two academic references) as one pdf document. The pdf can also include a one-page statement discussing one or two publications of the group with respect to what the applicant finds particularly interesting and what could be possible future improvements of the research described in the publication(s).
#J-18808-Ljbffr
Open PhD position in computational chemistry 80 % Arbeitgeber: ETH get hired
Kontaktperson:
ETH get hired HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Open PhD position in computational chemistry 80 %
✨Tip Number 1
Familiarize yourself with the latest advancements in computational chemistry, especially in areas like DFT-MD and machine learning. This knowledge will not only help you during the interview but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the research outputs of the Luber group by reading their publications. Prepare thoughtful insights or questions about their work to discuss during your interview, showcasing your analytical skills and enthusiasm for their research.
✨Tip Number 3
Highlight any relevant programming projects or experiences in your discussions. Being able to talk about your coding skills and how they apply to computational chemistry can set you apart from other candidates.
✨Tip Number 4
Network with current or former PhD students from the Luber group or similar fields. They can provide valuable insights into the application process and what the group values in a candidate, helping you tailor your approach.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Open PhD position in computational chemistry 80 %
Tipps für deine Bewerbung 🫡
Understand the Research Focus: Familiarize yourself with the Luber group's research areas, especially in computational methods and catalysis. This will help you tailor your application to highlight relevant experiences and interests.
Craft a Compelling Cover Letter: In your cover letter, express your motivation for applying to this PhD position. Discuss your academic background, relevant skills, and how they align with the group's focus on advanced dynamic approaches and machine learning.
Highlight Relevant Experience: When describing your research experience, emphasize any projects related to electronic structure theory, molecular dynamics, or catalysis. Be specific about your contributions and the skills you developed during these projects.
Prepare a Thoughtful Statement: Include a one-page statement discussing one or two publications from the group. Explain what you find interesting about the research and suggest potential future improvements. This shows your engagement with their work and your critical thinking skills.
Wie du dich auf ein Vorstellungsgespräch bei ETH get hired vorbereitest
✨Showcase Your Research Passion
Be prepared to discuss your previous research experiences in detail. Highlight what excites you about computational chemistry and how it aligns with the projects in the Luber group.
✨Demonstrate Technical Skills
Make sure to emphasize your programming skills and knowledge of electronic structure theory. Be ready to discuss specific tools or methodologies you've used, especially those relevant to DFT-MD or machine learning.
✨Engage with the Group's Work
Before the interview, review the group's recent publications. Prepare thoughtful questions or comments about their work, particularly focusing on aspects you find intriguing and potential improvements.
✨Highlight Collaborative Spirit
Since the position may involve collaboration with experimental groups, express your enthusiasm for teamwork. Share examples of past collaborative projects and how they contributed to your growth as a researcher.
