Computational scientists / research software engineers for research infrastructure support at the front-office
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Odense M
The eScience Center at the University of Southern Denmark (SDU) develops and operates large-scale e-Infrastructures dedicated to research in all fields. The center is a Danish national provider hosting national supercomputing facilities and collaborates closely with other Danish universities.
As part of the service provider agreement between the Danish e-infrastructure Cooperation (DeiC) and SDU, the eScience Center is expanding its staff in one of its core areas. We expect to fill 1 or more positions: the successful candidates will become part of the SDU front-office user support at the eScience center. This unit currently consists of two employees with long expertise in scientific research, programming and software engineering.
Our mission is to support research by the development of advanced ICT infrastructure, by providing support and expertise to researchers. The key areas of the center are: High Performance Computing, Cloud Services, Data Analytics and Data Management Services. We assist a large research community, educational and government institutions, as well as commercial companies. In the past three years, the center has developed a user-friendly and advanced private cloud system called UCloud, which is the core of the DeiC national system for interactive HPC and cloud computing.
We address stimulating new technological challenges. The SDU eScience center offers a research-like environment where we encourage the study of innovative solutions and personal growth. We firmly believe in open-source and web technology as means to reach our goals.
Job description:
We seek experts in the following areas:
• research user support,
• parallel computing (MPI, OpenMP, GPU, etc.)
• cloud computing,
• container and virtualization technology,
• database systems,
• software development for data analytics and HPC,
• data engineering,
• data management,
• machine learning and AI,
• big data analytics.
Experience in at least two of the above areas is required, and candidates with previous experience in research user support will be strongly preferred.
Research user support includes, but it is not limited to: providing specialist skills in parallel computing and data science; porting existing codes to new platforms; designing and developing new software from scratch; set up and tune data analysis workflows; assist researchers in all aspects of data management; develop and deliver tutorials and workshops.
Required qualifications:
• Proven experience in at least two of the areas specified in the job description;
• A strong understanding of research methodologies;
• Broad range of software skills in the relevant areas such as: knowledge of distributed computing technologies, GPU programming, scientific software design, scientific workflow tools, interactive data analysis, cloud computing, data management technologies, relational database programming and complex systems debugging;
• Strong background in Linux systems;
• Strong programming skills (e.g., in C/C++, shell scripting, MATLAB, Julia, Scala, Spark, Python or R);
• Proven ability to work productively both independently and as part of an interdisciplinary team. This requires balancing divergent objectives involving research, code development, supporting software and consulting with scientists;
• Excellent verbal and written communications skills in English in order to interact efficiently with researchers, to provide support for writing research applications to secure funding, and to be able to produce written documentation and materials for training;
• A high degree of flexibility and the ability to multitask;
• A master’s degree in a relevant field of science or engineering is an advantage.
Other relevant qualifications (not required):
• PhD in a relevant field of science or engineering;
• Experience with devops practices (e.g. git and github, continuous integration and deployment, software documentation)
Condition of Employment:
The starting date for the job is as soon as possible, and it will be agreed with the successful candidates. Appointments are for full time positions for 1 year with the possibility of extension.
All inquiries are welcome. Please contact:
Prof. Director Claudio Pica
SDU eScience center
Dept. of Mathematics and Computer Science
University of Southern Denmark
email: [email protected]
office: +45 6550 2519
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations).
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We recommend that you read how to apply before you apply.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
As part of the service provider agreement between the Danish e-infrastructure Cooperation (DeiC) and SDU, the eScience Center is expanding its staff in one of its core areas. We expect to fill 1 or more positions: the successful candidates will become part of the SDU front-office user support at the eScience center. This unit currently consists of two employees with long expertise in scientific research, programming and software engineering.
Our mission is to support research by the development of advanced ICT infrastructure, by providing support and expertise to researchers. The key areas of the center are: High Performance Computing, Cloud Services, Data Analytics and Data Management Services. We assist a large research community, educational and government institutions, as well as commercial companies. In the past three years, the center has developed a user-friendly and advanced private cloud system called UCloud, which is the core of the DeiC national system for interactive HPC and cloud computing.
We address stimulating new technological challenges. The SDU eScience center offers a research-like environment where we encourage the study of innovative solutions and personal growth. We firmly believe in open-source and web technology as means to reach our goals.
Job description:
We seek experts in the following areas:
• research user support,
• parallel computing (MPI, OpenMP, GPU, etc.)
• cloud computing,
• container and virtualization technology,
• database systems,
• software development for data analytics and HPC,
• data engineering,
• data management,
• machine learning and AI,
• big data analytics.
Experience in at least two of the above areas is required, and candidates with previous experience in research user support will be strongly preferred.
Research user support includes, but it is not limited to: providing specialist skills in parallel computing and data science; porting existing codes to new platforms; designing and developing new software from scratch; set up and tune data analysis workflows; assist researchers in all aspects of data management; develop and deliver tutorials and workshops.
Required qualifications:
• Proven experience in at least two of the areas specified in the job description;
• A strong understanding of research methodologies;
• Broad range of software skills in the relevant areas such as: knowledge of distributed computing technologies, GPU programming, scientific software design, scientific workflow tools, interactive data analysis, cloud computing, data management technologies, relational database programming and complex systems debugging;
• Strong background in Linux systems;
• Strong programming skills (e.g., in C/C++, shell scripting, MATLAB, Julia, Scala, Spark, Python or R);
• Proven ability to work productively both independently and as part of an interdisciplinary team. This requires balancing divergent objectives involving research, code development, supporting software and consulting with scientists;
• Excellent verbal and written communications skills in English in order to interact efficiently with researchers, to provide support for writing research applications to secure funding, and to be able to produce written documentation and materials for training;
• A high degree of flexibility and the ability to multitask;
• A master’s degree in a relevant field of science or engineering is an advantage.
Other relevant qualifications (not required):
• PhD in a relevant field of science or engineering;
• Experience with devops practices (e.g. git and github, continuous integration and deployment, software documentation)
Condition of Employment:
The starting date for the job is as soon as possible, and it will be agreed with the successful candidates. Appointments are for full time positions for 1 year with the possibility of extension.
All inquiries are welcome. Please contact:
Prof. Director Claudio Pica
SDU eScience center
Dept. of Mathematics and Computer Science
University of Southern Denmark
email: [email protected]
office: +45 6550 2519
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations).
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We recommend that you read how to apply before you apply.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 10.2.2021, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Odense M
- Mandag den 15. marts 2021
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