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Position: Software Scientist (Data Processing)
Institution: Paul Scherrer Institut
Location: Villigen, Aargau, Switzerland
Duties: You will join the Science IT section in PSI to play a central role in a collaboration with the Photon Science Division, aiming at finding novel ways of data reduction and processing for high data rate experiments (46GB/s in 2022) in order to significantly reduce its volume while preserving its scientific value. As part of the recently approved SLS2.0 upgrade exciting efforts are underway at this internationally recognised facility to push forward the forefront of both scientific discoveries as well as data, computing research and development. Your role will interface with the beamline teams and expert groups (Detector, Controls and Science IT), providing functional, reliable and efficient data processing solutions to meet the external users’ demanding needs, both during and after an experiment; Your main tasks will include: Identify and assess data reduction and processing needs and requirements for SLS 2.0. Evaluate current best practice and performance tradeoffs on existing SLS beamlines and related scientific domains; Design, implement and eventually support a suitable data reduction and processing solution for SLS 2.0 beamlines; Contribute to other ongoing efforts such as the overarching Controls and Science IT services and infrastructure for SLS 2.0, including related machine learning projects; Collaborate with colleagues with similar functions at the PSI facilities along with leading national and international institutions and consortia such a LEAPS
Requirements: As either an enthusiastic and talented early career or experienced professional, you are motivated by interdisciplinary work at the interface between the physical sciences, data science, scientific software development and high-performance computing. You can demonstrate the ability to assimilate new ideas and turn them into practical, applied techniques and a willingness to continue to learn new developments. Given the data volumes and methodology being used, you have experience of managing and organizing the parameters and results of large datasets. You have significant experience of programming in languages extensively used in science (Python, C++) and of the development of software for deployment on on-premises or cloud-based compute clusters; The following expertise would be advantageous: Prior experience in the analysis and reduction of large-scale experiment data, and/or image processing; Expertise in high-performance computing, parallel programming on CPUs or GPUs, job schedulers and workflow; You have knowledge of machine learning and the willingness to learn more via a collaboration with machine learning experts; You hold a PhD degree or equivalent practical experience in computer science or in a natural science with an emphasis in computer science, HPC or data science. You are a good listener and a strong team player with excellent communication skills and sense of responsibility, fluent in English (spoken and written), speak German (an advantage not a must) or willing to learn it
   
Text: Skip to main content Paul Scherrer Institut PSI PSI Research, Labs & User Services Digital User Office Digital User Office DE EN FR MENU Suche Suche Suche Hauptnavigation Our Research Open mainmenu item Current topics from our research Matter and Material Human Health Energy and Environment Large Research Facilities Brochures 5232 — The PSI magazine Research Divisions & Labs (only english) Industry Open mainmenu item Overview Technology Transfer Expertise Spin-off Companies Park Innovaare Proton Therapy Open mainmenu item Overview Physician & Patient Information Career Open mainmenu item Overview Job Opportunities Working at PSI Personnel Policy Equal Opportunities, Diversity & Inclusion Training and Further Education Vocational Training PSI Education Centre Career Center Support Program "PSI Career Return Program" PSI-FELLOW/COFUND Visit to PSI Open mainmenu item Overview Visitor Centre psi forum Schülerlabor iLab Public Events How to find us About PSI Open mainmenu item PSI in brief Strategy Guiding principles Facts and figures Organisational structure For the media Suppliers and customers Customers E-Billing Suche Suche DE EN FR Digital User Office (mobile) Digital User Office You are here: PSI Home Education and Jobs Job Opportunities Software Scientist (Data Processing) Secondary navigation Education and Jobs Job Opportunities Expanded submenu item Our application process at a glance Jobmail Spontaneous application Further Positions in the ETH Domain Personnel Policy Open submenu item Principles Collaboration and leadership Human Resources Development HRS4R Working at PSI Open submenu item Employment Conditions Social Benefits Further positive points Corporate Social Responsibility Training and Further Education Open submenu item Higher Education Vocational Training School Lab High-school matricu­lation projects PSI Education Centre Support Program "PSI Career Return Program" Open submenu item Eligibility Criteria Members of the evaluation committee PSI-FELLOW/COFUND - International Fellowship Programme for Postdocs Useful links Equal Opportunities, Diversity & Inclusion Homepage PSI Education Centre Homepage Vocational Training Homepage Career Center The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of matter and materials, energy and environment and human health. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2100 people. The Science IT section is responsible for supporting a range of world-class facilities and experiments conducted at PSI. The section currently has expertise and provides support in HPC and cloud computing for data intensive experiments through to experiment domain expertise and low-level algorithm development and deployment on GPU technology. We are also engaged in a number of national and international collaborations with similar institutions across the globe, all with the common goal of maximizing the use of large-scale facilities for science by the provision of cutting-edge IT infrastructure and software. Join the SLS2.0 Software Development Team to develop innovative data reduction and processing solutions to enable high impact science. We are looking for a Software Scientist (Data Processing) Science IT / SLS2.0 Your tasks You will join the Science IT section in PSI to play a central role in a collaboration with the Photon Science Division , aiming at finding novel ways of data reduction and processing for high data rate experiments (46GB/s in 2022) in order to significantly reduce its volume while preserving its scientific value. As part of the recently approved SLS2.0 upgrade exciting efforts are underway at this internationally recognised facility to push forward the forefront of both scientific discoveries as well as data, computing research and development. Your role will interface with the beamline teams and expert groups (Detector, Controls and Science IT), providing functional, reliable and efficient data processing solutions to meet the external users’ demanding needs, both during and after an experiment. Your main tasks will include: Identify and assess data reduction and processing needs and requirements for SLS 2.0. Evaluate current best practice and performance tradeoffs on existing SLS beamlines and related scientific domains Design, implement and eventually support a suitable data reduction and processing solution for SLS 2.0 beamlines Contribute to other ongoing efforts such as the overarching Controls and Science IT services and infrastructure for SLS 2.0, including related machine learning projects Collaborate with colleagues with similar functions at the PSI facilities along with leading national and international institutions and consortia such a LEAPS Your profile As either an enthusiastic and talented early career or experienced professional, you are motivated by interdisciplinary work at the interface between the physical sciences, data science, scientific software development and high-performance computing. You can demonstrate the ability to assimilate new ideas and turn them into practical, applied techniques and a willingness to continue to learn new developments. Given the data volumes and methodology being used, you have experience of managing and organizing the parameters and results of large datasets. You have significant experience of programming in languages extensively used in science (Python, C++) and of the development of software for deployment on on-premises or cloud-based compute clusters. The following expertise would be advantageous: Prior experience in the analysis and reduction of large-scale experiment data, and / or image processing Expertise in high-performance computing, parallel programming on CPUs or GPUs, job schedulers and workflow You have knowledge of machine learning and the willingness to learn more via a collaboration with machine learning experts You hold a PhD degree or equivalent practical experience in computer science or in a natural science with an emphasis in computer science, HPC or data science. You are a good listener and a strong team player with excellent communication skills and sense of responsibility, fluent in English (spoken and written), speak German (an advantage not a must) or willing to learn it. We offer Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. This position will offer you a great opportunity to develop your career in an exciting and highly multidisciplinary environment. This is a fixed-term position. The employment contract will be limited to the SLS 2.0, which ends 31 December 2025. For further information, please contact Dr Alun Ashton, email: alun.ashton at psi.ch. Please submit your application online by 16 May 2021 for the position as a Software Scientist (Data Processing) (index no. 9551-00). Paul Scherrer Institut, Human Resources Management, Sabine Mier, 5232 Villigen PSI, Switzerland Apply online now Open sharing options top Footer Paul Scherrer Institut Forschungsstrasse 111 5232 Villigen PSI Switzerland Telephone: 41 56 310 21 11 Telefax: 41 56 310 21 99 How to find us Contact Visitor Centre psi forum School Lab iLab (in German) Center for Proton Therapy PSI Education Centre PSI Guest House PSI Gastronomie (in German) Service & Support Phone Book User Office Accelerator Status PSI Publications Suppliers E-Billing Computing Safety (in German) Career Working at PSI Job Opportunities Training and further education Vocational Training (in German) PSI Education Center For the media PSI in brief Facts and Figures Media corner Media Releases Social Media Newsroom Follow us: Twitter (in English) LinkedIn Youtube Issuu RSS Footer legal Imprint Terms and Conditions Editors' login
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