News

Date: June 30 - July 04, 2025 Venue: University of Rennes, France

We invite you to a whole week of in-person workshop, Introduction to advanced techniques, where you have the unique opportunity to learn the usage, power, and limitations of VASP accompanied by in-person tutoring of the authors and developers of the code. The activities, incl. lectures, hands-on sessions, a poster session, and a Gala dinner, are aimed at graduate students and researchers from industry and academia. The only pre-requisite is a basic knowledge of solid-state physics and chemistry. The main focus is mastering phonon calculations, considering electron-phonon coupling, and treating magnetic systems, but we will touch on other topics to provide a brought perspective.

The following topics will be covered:

• Introduction to the projector-augmented wave (PAW) method;
• Basics of structure optimization and machine learning force fields (MLFF);
• Data analysis and visualization using py4vasp;
• Electron-phonon coupling (new!) and phonons without external packages;
• Magnetism (spin-polarized, SOC, noncollinearity, MAE, spin torque);
• Exchange-correlation functionals revisited. 

Go to the event page!

We are hiring: Two Python Developers / Data Scientists

Location: VASP Software GmbH, Vienna, Austria

At the VASP Software GmbH, we develop the leading software for the simulation of condensed matter systems from first principles. We are looking for two talented Python developers or data scientists to join our international team. You will develop machine-learning models for ab-initio properties based on large datasets, contribute to py4vasp, and engage in projects that match your scientific expertise.

We offer you

• The opportunity to focus on software development without the administrative burden typical of research positions.
• To transform and accelerate materials simulations by incorporating the latest machine learning techniques.
• Flexible working hours including working from home (fully remote work is not possible).
• A long-term, competitively paid position without grant or tenure-track constraints.

You are a strong candidate if you

• Have a solid background in Python, especially experience with machine learning libraries (PyTorch, JAX, etc.).
• Have a background in automated data acquisition, data storage and data curation.
• Enjoy code development for scientific applications and want to improve your skills.
• Have a PhD related to first-principles simulations or machine-learning in materials science, chemistry, or physics.
• Have contributed to significant software projects in an academic or an industrial setting.

You stand out if you

• Bring experience in integrating ML frameworks into scientific workflows.
• Have worked with ab-initio simulation tools like VASP or developed scientific software.
• Developed graphical applications for the web browser with JavaScript or Python.
• Have written Fortran or C/C++ code.
• Are familiar with common scientific Python tools like ASE, AiiDA, pymatgen, …
• Have previous expertise in the field of electrochemistry.
• Are familiar with methods beyond density functional theory including but not limited to quantum Monte-Carlo methods.

We encourage candidates of all backgrounds and experiences to apply—if you’re excited about the opportunity, we’d like to hear from you! Please send your CV and a motivational letter to martin.schlipf@vasp.at (subject: Python Developer / Data Scientist Position) with christian.hirsch@vasp.at in cc. If possible, please include a link to a GitHub repository displaying your work.

On November 12, 2024, we will begin selecting candidates for an interview.

Date: Nov 06 - 08, 2024 Venue: Zoom event

We invite you to participate in a three-day workshop, Exploring chemical reactions in VASP, where you will learn basic and advanced simulation techniques for determining the kinetics of elementary reaction steps. You will develop a foundation within both the harmonic and anharmonic approaches and learn about the strengths and weaknesses of each. Simple and more complex reactions will be covered in detail to aid you in studying reactions in VASP.

Over three lectures, you will learn about the methods available in VASP for investigating transition states of chemical reactions. In the first lecture, you will be introduced to the complexities of applying machine learning (ML) to reactions. The second lecture will cover how to compute energetics within the harmonic approximation using static approaches, such as the nudged elastic band (NEB) technique and the improved dimer method (IDM) to find the transition state. These will then be transformed into reactant and product by following the intrinsic reaction coordinate (IRC). The final lecture will go through anharmonic energetics using molecular dynamics (MD) and biased sampling techniques to study rare events such as chemical reactions.

These lectures will be accompanied by two hands-on sessions. You will review each of the static methods before applying them to the rate-determining step in a zeolite-catalyzed reaction. These static techniques will set you up for computing reaction profiles using demanding ab-initio MD techniques, such as the Blue Moon ensemble. You will be assisted throughout these sessions by a team of VASP developers.

The techniques you learn in this workshop will aid you in solving your own problems with studying chemical reactions and add to your toolkit for investigating transition states in VASP.

Registration opens on October 06, 2024. Please save the date because the number of spots is limited.

Go to the event page!

Date: July 03 - 05, 2024 Venue: Zoom event

Join us for a comprehensive three-day workshop, From Setup to Solution—Getting Started with VASP, designed to provide beginners with a solid foundation in the fundamentals of Density Functional Theory (DFT) and the Projector Augmented Wave (PAW) method. Throughout the workshop, participants will explore the theoretical underpinnings of DFT and PAW, gaining a deep understanding of these essential concepts in computational materials science.

This workshop offers a hands-on approach to mastering VASP, guided by a series of three lectures focusing on key aspects of electronic structure calculations. The first lecture will introduce participants to the basics of DFT and the PAW method, laying the groundwork for understanding the principles behind VASP. The second lecture will explore techniques for converging the electronic structure, providing participants with practical insights into which algorithms are available and how to enhance the accuracy and efficiency of their simulations. The third lecture will focus on structure optimization, guiding participants through the process of setting up structures and relaxing them to achieve stable and realistic configurations.

In addition to the lectures, participants will engage in guided hands-on sessions, allowing them to apply the concepts learned in practice. Attendees will learn run some fundamental VASP calculations and explore all steps from input preparation to result analysis. Moreover, participants will have the unique opportunity to interact directly with the developers of VASP to discuss the tutorials as well as get advice on their own research.

Don’t miss this opportunity to kickstart your journey into the world of computational materials science with VASP. Whether you’re new to electronic structure calculations or looking to deepen your understanding, this workshop is your gateway to unlocking the full potential of VASP for research and discovery.

Registration opens on June 03, 2024. Please save the date because the number of spots is limited.

Go to the event page!

A new release of VASP is available for download now!

A fairly comprehensive list of the changes/additions w.r.t. vasp.6.4.2 is available on our wiki.

Go to the VASP Portal to get VASP.6.4.3. This requires a VASP.6 license issued by the VASP Software GmbH.
Get a license!

Date: March 13 - 15, 2024 Venue: Zoom event

Meet the VASP developers and learn how to run your own VASP calculations! The agenda includes lectures and hands-on sessions with the option of attending morning or afternoon sessions to serve all time zones. We will cover various methods and levels of approximation to obtain dielectric properties from first principles. Afterward you will be able to draw the connection to experimental results, decide when density-functional theory (DFT) suffices, and when to opt for methods within many-body perturbation theory, like the GW approximation or solving the Bethe-Salpeter equation within time-dependent DFT.

Go to the event page!

Company: VASP Software GmbH
Location: Berggasse 21/14, 1090 Vienna

We are looking for a VASP Support Scientist that creates tutorials, contributes to the VASP Wiki, and resolves user inquiries, as well as a VASP HPC Specialist that enhances the scalability of algorithms, implements parallel computing strategies and identifies bottlenecks.

1. Position: VASP Support Scientist

Are you passionate about computational materials science and interested in exploring the vast spectrum of VASP features? Do you have a knack for clear communication? If so, we have an opportunity for you!

Job Description:

As a VASP Support Scientist at VASP Software GmbH, you will play a pivotal role in educating and empowering the scientific community by creating informative and user-friendly tutorials in Jupyter notebooks and enhancing the VASP Wiki with comprehensive documentation. Your work will contribute to making VASP accessible and user-friendly for researchers and scientists worldwide.

Key Responsibilities:

• Create detailed tutorials in Jupyter notebooks covering a wide range of VASP features.
• Contribute to and maintain the VASP Wiki with well-organized, comprehensive documentation.
• Collaborate with the VASP community to gather feedback and improve documentation.
• Assist in troubleshooting and resolving user inquiries related to VASP.
• Stay up-to-date with the latest developments and features in VASP.

Qualifications:

• A PhD and possibly PostDoc experience in physics, chemistry, material science, biology or related fields.
• A strong interest in the entire spectrum of VASP features.
• Experience in running VASP calculations for a scientific project or contributing to a first-principles code with similar algorithms and features as VASP.
• Background in one or more of the following fields would complement the team best: Density-functional-perturbation theory, disorder, impurities, organic chemistry, van der Waals systems, catalysis or superconductivity.

Requirements:

• Proficiency in using VASP and a strong understanding of first-principles calculations.
• Strong communication skills to convey complex topics in a simple and understandable manner.
• Self-motivated and capable of working independently as well as collaboratively.
• Strong problem-solving skills and attention to detail.
• A commitment to producing high-quality documentation.

2. Position: VASP HPC Specialist

Are you an expert in High-Performance Computing (HPC) and interested in pushing the boundaries of computational materials science? We have a unique opportunity for an HPC Specialist to join our team!

Job Description:

As an HPC Specialist at VASP Software GmbH, you will be at the forefront of driving computational materials science to new heights. You will play a crucial role in optimizing and accelerating VASP simulations on HPC clusters and supercomputers, enabling groundbreaking scientific research. Your expertise will be instrumental in harnessing the full potential of VASP for solving complex materials-science challenges.

Key Responsibilities:

• Assess and enhance the scalability of algorithms to ensure VASP can efficiently utilize a wide range of computational resources, from local clusters to national and international supercomputers.
• Implement and maintain parallel computing strategies, taking advantage of multi-core processors, accelerators (e.g., GPUs), and distributed computing environments.
• Conduct performance profiling and benchmarking to identify bottlenecks in VASP simulations, providing recommendations for improvement.
• Offer technical support to the VASP user community, addressing HPC-related queries and troubleshooting issues to improve the user experience.
• Contribute to the documentation of best practices for running VASP on HPC systems, sharing your knowledge and expertise with users.

Qualifications:

• A PhD in a relevant field, such as computer science, computational materials science, physics or a related discipline.
• Extensive experience in optimizing and running scientific applications, particularly in the realm of computational materials science.
• Proficiency in parallel computing, distributed computing, and familiarity with HPC architectures and clusters.
• Strong programming skills, with proficiency in languages such as Fortran, C++, Python, and parallel programming models such as MPI, OpenMP, and/or OpenACC.
• Experience with profiling and performance analysis tools to identify and address bottlenecks.
• Knowledge of supercomputing environments and experience with batch scheduling systems (e.g., Slurm, Torque, PBS).
• Excellent problem-solving skills and the ability to work collaboratively with interdisciplinary teams.
• Strong communication skills to convey complex HPC concepts to a non-technical audience and provide technical support to users.
• A commitment to staying up-to-date with the latest HPC technologies and trends to continuously improve VASP’s performance on modern computing systems.

What we offer:

At VASP Software GmbH, we are committed to providing our team members with a rewarding and stable career. As part of the VASP team, you’ll enjoy a competitive income and the vibrant atmosphere of Vienna, Austria. While we offer flexibility with home office arrangements, we place a premium on a healthy office culture and do not endorse pure remote work. Unlike the uncertainty of short-term contracts in academia, our positions offer long-term job security. You will have the opportunity to pursue scientific projects and contribute to the growth of computational materials science while being part of a dynamic and dedicated team.

How to Apply:

If you are enthusiastic about VASP and possess the qualifications and skills we are looking for, we’d love to hear from you! Please write a motivational letter expressing what makes you the ideal candidate. Send this letter along with a curriculum vitae and a list of all publications to marie-therese.huebsch@vasp.at (subject: Job application) and in cc to christian.hirsch@vasp.at. Preselection of candidates will begin November 20, although we might accept applications later, if the positions are not yet filled.

Deadline for Applications: December 12, 2023

VASP Software GmbH is an equal opportunity employer. We encourage applications from candidates of all backgrounds. Join our team and help shape the future of computational materials science by making VASP more accessible and user-friendly. Your expertise and passion can make a real difference!

For users of Visual Studio Code, we highly recommend the VASP Support extension. It provides up-to-date information for INCAR tags, including descriptions, default values and links to the VASP Wiki. Additionally, a heap of useful information is provided when editing POSCAR files.

Try it yourself right now by installing the extension either from the Visual Studio Marketplace or directly inside Visual Studio Code using the extensions view.

A new release of VASP is available for download now!

This release differs from VASP.6.4.1 by the following changes/additions (amongst others):

Fixes the following known issues:

• Bugs in interface to wannier90.
• Incorrect MLFF fast-mode predictions for some triclinic geometries.
• Fast-mode predictions will crash together with finite difference (IBRION=5,6).

and additionally:

• Added a proper exit if MLFF is encounters multiple atom types with the same label.
• Blocking of scaLAPACK redistribution in MLFF (to reduce memory demands) was not correctly implemented.
• Assorted small fixes and improvements.

Go to the VASP Portal to get VASP.6.4.2. This requires a VASP.6 license issued by the VASP Software GmbH.
Get a license!

November 13 - 17, 2023

Schedule: 12:00 – 17:30 CET (lectures and hands-on sessions)
Venue: Online (Zoom)

In 5 days of lectures and hands-on sessions, this workshop covers ab-initio molecular dynamics, machine learning force fields, phonons, and high-performance computing. During the hands-on sessions, you will learn to perform your own ab-initio simulations using the Vienna Ab-initio Simulation Package (VASP). Additionally, you have the extraordinary opportunity to meet the team developing VASP to learn from them how to simulate the properties of materials.

Registration fee: 250€
Capacity: 100 (At least 15% will be free of charge.)
Deadline: October 13, 2023

Register here!

Note: The lectures are live, and a recording will be available for participants afterward. For hands-on sessions, active participation is required!