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- Aufgaben: Join our Space Weather group to optimize code for CPU and GPU on HPC systems.
- Arbeitgeber: The University of Bern is a leading institution in Astronomy and space research.
- Mitarbeitervorteile: Enjoy a competitive salary of 87k CHF and work in a collaborative environment.
- Warum dieser Job: Make an impact in space physics with cutting-edge technology and machine learning.
- Gewünschte Qualifikationen: PhD in computer science, expertise in code optimization, and strong programming skills required.
- Andere Informationen: Applications are open until January 20, 2024; we encourage diverse candidates to apply.
Das voraussichtliche Gehalt liegt zwischen 80000 - 116000 € pro Jahr.
The Space Weather group of the Astronomical Institute of the University of Bern (AIUB) is inviting applications for a Postdoc to work on code optimization for CPU and GPU calculations on HPC systems.
The successful candidate will be expected to start in Spring 2025, and the position remains open until filled (deadline January 20, 2025). The post is currently funded for one year.
The University of Bern hosts many domains of Astronomy. The successful candidate will work in the Space Weather Group, which focuses on understanding the physics of the Sun with machine learning and building astronomical instrumentation.
Efficient algorithms are critical considering our large data volume (Terabytes). Our applications range from machine learning and image reconstruction to codes that simulate the physical conditions in the solar atmosphere. The goal of this position is to research code optimizations, both for CPU (MPI) and GPU calculations. The successful candidate will collaborate with the space weather group members to optimize various codes on the university’s HPC system Ubelix and improve their stability and speed. Depending on the candidate’s research focus, this may also include the optimization of the local server setup and the computing environment and collaboration on CSCS proposals.
Requirements
- PhD in computer science or similar
- Expert in code optimization and HPC. Expert on MPI
- Familiarity with programming languages, such as C (and its variants) and Python
- Strong verbal and written communication skills in English
- Strong analytical abilities and problem-solving/troubleshooting skills
- Team player who likes to work with other group members and students
Application
Deadline: January 20, 2024 , via email to L. Kleint, containing (as one pdf file) :
- CV
- Motivation letter for this specific position
- A copy of BSc and MSc transcripts of courses and grades (scans of official transcripts are sufficient) and a copy of the PhD diploma
- Names of 2 references that can be contacted
Incomplete applications or applications written by ChatGPT cannot be considered.
Based on the regulations of the University of Bern, the starting salary will be 87k CHF per year.
For further details regarding this position, please contact Prof. Lucia Kleint ( ).
An equal opportunity environment is important to us, and we welcome applicants from groups that are traditionally underrepresented in physics and astronomy. We will be particularly pleased to receive applications from women for the advertised position.
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Postdoctoral position in code optimization for CPU & GPU calculations on HPC systems Arbeitgeber: Universität Bern
Kontaktperson:
Universität Bern HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Postdoctoral position in code optimization for CPU & GPU calculations on HPC systems
✨Tip Number 1
Familiarize yourself with the specific HPC systems used at the University of Bern, particularly Ubelix. Understanding its architecture and capabilities will help you discuss how your skills in code optimization can enhance its performance.
✨Tip Number 2
Engage with current research in the field of space weather and machine learning. Being able to reference recent studies or advancements during your discussions will demonstrate your genuine interest and knowledge in the area.
✨Tip Number 3
Network with professionals in the field of astronomy and high-performance computing. Attend relevant conferences or workshops where you can meet members of the Space Weather group or similar teams, as personal connections can often lead to job opportunities.
✨Tip Number 4
Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss specific challenges you've faced in code optimization and how you overcame them, as this will highlight your analytical abilities and fit for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoctoral position in code optimization for CPU & GPU calculations on HPC systems
Tipps für deine Bewerbung 🫡
Tailor Your Motivation Letter: Make sure to write a motivation letter specifically for this postdoctoral position. Highlight your expertise in code optimization, HPC systems, and relevant programming languages like C and Python. Explain how your background aligns with the goals of the Space Weather group.
Prepare Your CV: Your CV should clearly outline your academic qualifications, including your PhD, and any relevant research experience. Emphasize your skills in code optimization and your familiarity with MPI, as these are crucial for the role.
Gather Required Documents: Compile all necessary documents into one PDF file. This includes your CV, motivation letter, BSc and MSc transcripts, PhD diploma, and names of two references. Ensure that all scans of official transcripts are clear and legible.
Double-Check Your Application: Before sending your application via email, double-check that all components are included and that there are no errors. Remember, incomplete applications will not be considered, so make sure everything is in order.
Wie du dich auf ein Vorstellungsgespräch bei Universität Bern vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with code optimization, particularly in HPC environments. Highlight specific projects where you've successfully optimized CPU and GPU calculations, and be ready to explain the techniques you used.
✨Demonstrate Collaboration Skills
Since this position involves working closely with other group members, emphasize your ability to work in a team. Share examples of past collaborations, especially those that involved problem-solving or improving project outcomes through teamwork.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your analytical abilities and troubleshooting skills. Practice explaining your thought process when faced with complex problems, particularly in relation to optimizing algorithms for large data volumes.
✨Communicate Clearly and Effectively
Strong verbal and written communication skills are essential. During the interview, articulate your ideas clearly and concisely. Prepare to discuss your motivation for applying to this specific position and how your background aligns with the goals of the Space Weather group.
