Wan Arif bin Wan Abhar

Angestellt, Research Assistant, Ruhr-Universität Bochum
Student, Msc in Computational Engineering, Ruhr-Universität Bochum
Bochum, Germany

Fähigkeiten und Kenntnisse

C++
CUDA
MPI
Git
Java
OpenMP
CMake
Python
Linux
LaTeX
Slurm
SSH
Fortran
Softwareentwicklung
Paraview
Unity3D
Matlab

Werdegang

Berufserfahrung von Wan Arif bin Wan Abhar

  • Current 7 years and 8 months, since Oct 2018

    Research Assistant

    Ruhr-Universität Bochum

    • Developed a feature in a multi-dimensional FEM model program to run using GPUs with the implementation of CUDA • Prepared slides and held tutorial sessions on CMake, SLURM and HPC benchmarkings • Researched on relevant case studies in implementing HPC in Finite Element Methods • Performed HPC benchmarking tests on the faculty’s cluster system (~3000 cores)

  • 1 year and 9 months, Nov 2018 - Jul 2020

    Research Assistant

    Ruhr Universität Bochum

  • 3 years and 5 months, Dec 2010 - Apr 2014

    Maintenance Master Data Engineer

    Air Products

    Provided technical support for Plant Maintenance Master Data using Computerized Maintenance Management System (CMMS) Determined and assigned maintenance plans for equipment and instruments in production plants.

  • 3 months, Dec 2009 - Feb 2010

    Intern

    Accenture

    Was part of the Telekom Malaysia’s Unifi High Speed Broadband project, which involves the installation of the Oracle Siebel CRM applications. Worked in the integration team and dealt primarily in data translation/transfer.

Ausbildung von Wan Arif bin Wan Abhar

  • Current 8 years and 8 months, since Oct 2017

    Msc in Computational Engineering

    Ruhr-Universität Bochum

    High Performance and Parallel Computing, Parallel Solvers for Finite Element Methods, Machine Learning, GPU Programming

  • 7 years and 1 month, Jun 2003 - Jun 2010

    Bachelors in Mechanical Engineering

    Universiti Teknologi Malaysia

    Finite Element Methods, Solid Mechanics, Computer Programming

Sprachen

  • English

    C2 (Verhandlungssicher / Muttersprachlich)

  • German

    B1-B2 (Gute Kenntnisse)

  • French

    A1-A2 (Grundkenntnisse)

  • Malay

XING – Das Jobs-Netzwerk

  • Über eine Million Jobs

    Entdecke mit XING genau den Job, der wirklich zu Dir passt.

  • Persönliche Job-Angebote

    Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.

  • 21 Mio. Mitglieder

    Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.

  • Kostenlos profitieren

    Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.

21 Mio. XING Mitglieder, von A bis Z