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Vasp Jobs (NOW HIRING)

Hyphen Connect Limited

Stay updated on global crypto regulations (e.g., MiCA, VASP requirements, SEC/CFTC shifts) to ensure all BD activities are compliant. * Work closely with the Risk department to assess the ...

NCSU

Research Engineer

Raleigh, NC

Strong capabilities in using MCNP, Serpent, NJOY, OpenFoam, VASP, and PHONON codes. Strong programming skills using languages such as Fortran and Python, and utilities such as MATLAB. * Strong ...

Rain

Licensing Associate

New York, NY · On-site

$50K/yr

Familiarity with regulatory regimes such as money transmission, e-money, VASP/virtual asset licensing, or similar frameworks. * Strong project management and organizational skills. * Excellent ...

FalconX

Counsel, Regulatory and Product

New York, NY · On-site

$196K - $248K/yr

Directly manage and execute new license applications (VASP, MTL, and international equivalents) across all 2026 target jurisdictions. * Product Compliance Ownership: Partner with Product and ...

Uofl

$130K/yr

Experience with scientific computing tools, libraries, and frameworks is a plus (e.g., MPI, OpenMP, CUDA, VASP, Gaussian, and Nextflow, Open OnDemand) * Experience with the installation ...

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Vasp information

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How much do vasp jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for vasp in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Vasp position, and why are they important?

To thrive as a Vasp (Virtual Asset Service Provider), you need a solid understanding of digital asset management, compliance regulations, and cybersecurity protocols, often supported by relevant technical or finance degrees or certifications. Familiarity with blockchain technology, anti-money laundering (AML) systems, and KYC (Know Your Customer) processes is vital in this role. Strong analytical thinking, attention to detail, and communication skills help navigate complex regulations and collaborate with clients and regulatory bodies. These skills ensure secure digital asset transactions and adherence to international financial laws, critical for the reputation and legality of the service provider.

What job role is SVP?

SVP stands for Senior Vice President, a high-level executive role responsible for overseeing major departments or divisions within a company. SVPs typically report to the CEO or President and are involved in strategic planning, leadership, and decision-making at the executive level.

What are some common challenges faced by Vasp professionals in this industry?

Vasp professionals frequently encounter challenges related to evolving regulatory requirements and the rapid advancement of blockchain and digital asset technologies. Staying current with international compliance standards, such as AML and KYC, requires ongoing education and adaptability. In addition, managing cybersecurity risks and building trust with clients and partners can be demanding due to the sensitive nature of digital assets. However, overcoming these obstacles provides valuable experience and positions professionals for growth within the expanding virtual asset sector.

What is a Vasp job?

A VASP (Vienna Ab initio Simulation Package) job refers to a computational task performed using VASP, a software for atomic-scale materials modeling. It is commonly used in physics, chemistry, and materials science to perform density functional theory (DFT) calculations. A VASP job typically involves setting up input files, running simulations on high-performance computing systems, and analyzing the results. Researchers use it to study material properties, electronic structures, and atomic interactions.

What does vasp stand for?

VASP in a job context typically refers to a role involving the Vienna Ab initio Simulation Package, a software used in computational materials science. The job may require knowledge of quantum mechanics, programming, and high-performance computing environments.

What is the work function in VASP?

In the context of a VASP (Vienna Ab initio Simulation Package) calculation, the work function is the minimum energy needed to remove an electron from the material's surface to the vacuum level. It is calculated as the difference between the vacuum potential and the Fermi level and is important for understanding surface electronic properties. Accurate determination requires careful setup of the surface model and potential alignment.

What is an example of a vasp?

A VASP (Vasculature-associated stem cell platform) is a type of stem cell used in vascular research and regenerative medicine. An example includes endothelial progenitor cells derived from VASP cultures, which can contribute to blood vessel repair and formation. These cells are often studied in laboratory settings and may require specialized skills and equipment for handling and analysis.
More about Vasp jobs
What cities are hiring for Vasp jobs? Cities with the most Vasp job openings:
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Vasp jobs near you
Infographic showing various Vasp job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Postdoctoral Appointee - Building Agentic AI Platform for X-ray Science

Postdoctoral Appointee - Building Agentic AI Platform for X-ray Science

Argonne National Laboratory

Lemont, IL • On-site

$49K - $67K/yr

Full-time

Posted 5 days ago

Job description

Job Summary:
Argonne National Laboratory is seeking a highly motivated Postdoctoral Researcher to join the X-ray Science Division. The successful candidate will develop an AI-enabled platform for X-ray absorption spectroscopy, working with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery.
Responsibilities:
• Develop an AI-enabled platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise.
• Work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery.
Qualifications:
Required:
• A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related field.
• Strong computational chemistry background in atomistic simulations, electronic-structure theory, DFT, structure-property relationships, and interpretation of simulation results.
• Hands-on experience with DFT or electronic-structure codes such as VASP, Quantum ESPRESSO, CP2K, ABINIT, GPAW, Gaussian, ORCA, Q-Chem, or related packages.
• Strong materials science or chemistry domain knowledge, such as bonding, defects, catalysis, batteries, solid-state chemistry, molecular systems, or related materials classes.
• Strong Python skills and familiarity with LLM APIs, agent frameworks, PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Passion for front-end development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments.
• Experience with complex scientific datasets and reproducible analysis or simulation workflows.
• Effective written and oral communications skills.
• Demonstrated ability to work both independently and collaboratively in a multidisciplinary environment.
• Commitment to Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred:
• Experience with X-ray absorption spectroscopy theory, modelling, and interpretation, including XANES/EXAFS.
• Hands-on experience with XAS simulation packages such as FEFF, OCEAN, FDMNES, XSpectra, or exciting.
• Experience comparing simulated and experimental XAS/XAFS spectra.
• Experience with high-throughput spectroscopy workflows, HPC, synchrotron datasets, or physics-informed AI.
Company:
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management. Founded in 1946, the company is headquartered in Lemont, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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