丹麦技术大学机器学习-加速建模与功能化二维材料设计博士后职位

丹麦技术大学机器学习-加速建模与功能化二维材料设计博士后职位

Postdoc In Machine Learning-Accelerated Modeling And Design Of Functionalized 2D Materials

Apply no later than 20 June 2021 Apply for the job at DTU Physics by completing the following form.

The section for Computational Atomic-scale Materials Design (CAMD) at the Technical University of Denmark (DTU), is seeking an outstanding and highly motivated post doc within the area of electronic structure calculations and machine learning with applications to functionalized 2D materials. The position is funded by the VILLUM Foundation and is part of a newly established Center on Data-Driven Science of 2D Materials.

The successful candidate will develop and apply ab initio-based computational methods to explore different functionalization strategies (e.g. defect engineering, (self-)intercalation, and layer stacking) for enhancing and controlling the fundamental properties of 2D materials.

While the overarching theme of the Center is the exploration of specific 2D functionalization strategies, we have a broad and flexible focus when it comes to the employed methodologies (empirical models, DFT, many-body perturbation theory, machine-learning) the target properties (magnetic, topological, electronic, optical, chemical) and the potential technological applications (opto-electronic devices, electro-catalysis, quantum information). These areas will be covered by several interrelated PhD and post doc projects; the content and goal of this specific post doc project will depend on the interests and qualifications of the candidate.

CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern Copenhagen area. The group has strong connections to local experimental groups within the VILLUM Center for the Science of Sustainable Fuels and Chemicals and the Center for Nanostructured Graphene. Substantial computational resources are available for the project through the DTU-supercomputer facility Niflheim.

Qualifications Candidates should have a PhD degree or equivalent in theoretical/computational physics or chemistry. The successful postdoc candidate has a strong background in solid state physics and electronic structure calculations or in machine learning. The candidate should be proficient in Python programming. Good communication skills in both spoken and written English, are a requirement. Flexibility and self-motivation are desired skills.

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 terms of employment 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 for two years. The position is available from September 2021.