Job description

The successful candidate will use and develop state-of-the-art methods, including machine learning techniques and advanced molecular dynamics, to study thermodynamic and transport properties of technologically-relevant systems such as molecular crystals, superionic conductors, and solutions. 

Your profile

We are looking for a highly-motivated candidate with the following qualifications:

• A PhD in Chemistry, Physics, Material Science, or related fields.
• Expertise in one or more areas of atomistic modelling, statistical mechanics, electronic structure methods, scientific programming, and machine learning.
• Solid publication record matching the current career stage.
• Experience with high-performance computing.

• Good writing and communication skills in English (working language).

About us

The postdoc will be based in the newly-established Cheng Group at IST Austria. The group is particularly interested in developing methods to extend the scope of atomistic simulations, in order to understand and predict materials properties that are hard to access. More information about Assistant Professor Bingqing Cheng can be found at

https://sites.google.com/site/tonicbq/

How to apply

Applicants are invited to send a one-page cover letter, a full CV including publication list, and contact information of two references to [email protected], with “HIRING POSTDOC” in the subject line. Evaluation of candidates will start immediately, and continue until the position is filled. Diversity, inclusivity and equal opportunities in science are our core values. Applications from women and under-represented groups are highly encouraged.

Further details

Length: initial contract of 2 years with possible extension to up to 4 years (upon mutual agreement), full-time, flexible starting date

Salary: EUR 56,000 gross/year (possible overpayment depending on qualification and experience.)

For the full advertisement please visit: https://ist.ac.at/en/job/postdoc-research-group-cheng/