Postdoc Researcher in Green Technologies for Digital Research Infrastructures

Postdoc Researcher in Green Technologies for Digital Research Infrastructures

Published Deadline Location
24 Jan 11 Mar Amsterdam

Job description

The Complex Cyber Infrastructure (CCI) research group at the University of Amsterdam conducts research in the area of complex infrastructure services provisioning including cloud resource, optical and hybrid networking for high performance and data intensive application (also referred to as Big Data). CCI research also include Big Data architecture, trusted data exchange and federated infrastructure services, network and application security, microservices and programmable networks for the Future Internet and Internet of Things (IoT). The CCI group is involved in a number of national and EU funded project contributing to the development of the novel concepts in the area of new and emerging technologies.

The CCI group is looking for a Postdoc Researcher to work on the EU funded project GreenDIGIT that will address the challenges of achieving sustainability and reduced environmental impact of the current and future European Research Infrastructures (RI) by addressing a complex of tasks to reduce carbon footprint and environmental impact in the continuum of resources (IoT, Far-Edge, Edge, Cloud), supporting the whole research and data lifecycle. The CCI will focus on developing sustainable architecture that will be instrumental in optimising the efficiency of scientific workflows and algorithms running within the RIs, optimise the management configuration, and the overall performance, while reducing energy consumption. Special attention will be given to the experimental research automation and data management infrastructure, interoperability with EOSC and international testbeds.

What are you going to do?
The GreenDIGIT project will design the general architecture and complex of technical solutions and tools for researchers and RI operators to reduce energy consumption, carbon footprint and environmental impact. The architecture should be supported by the experimentally verified model supporting optimisation of the efficiency of scientific workflows and algorithms running within the RIs by managing the configuration and runtime operation while reducing energy consumption. The project will develop solutions and tools for researchers and operators to develop and execute optimized and environmental impact aware workflow in experimental research. The project will develop the data management and data sharing infrastructure, interoperable with EOSC and cooperating testbeds.

It is expected that the candidate is familiar with the variety of modern networking technologies, Big Data infrastructure services and platform, cloud computing, edge computing and microservices, programmable networks, data modeling and data management process and applications, at the level to be capable to identify trends and propose a solution for the project infrastructure and testbed. Knowledge and experience with the Data Analytics and cloud-based tools for services provisioning and data management is an advantage. General understanding of the green IT and environmental awareness mind set is expected.

Tasks and responsibilities:
It is expected that the candidate will take active part in all project activities, learn new relevant technologies, in particular:
  • working with a variety of modern networking technologies, Big Data infrastructure technologies and platforms, data management and data modeling;
  • developing cloud native applications and adopting edge computing and microservices for experimental research automation;
  • researching on and developing solutions for experimental research automation and reproducibility, data management processes, applications and tools;
  • identifying trends and proposing solutions for the project infrastructure and testbed deployment;
  • contributing to publications and dissemination activities by the project;
  • actively contributing to the development of and improvement of the teaching programmes in the department with the research results.

Specifications

University of Amsterdam (UvA)

Requirements

Your experience and profile
We are looking for a candidate who meets the following requirements:
  • A Doctorate in Computer Science, Software Engineering, Data Science, Machine Learning. Candidates with MSc in Computer Science, Information Management or closely related fields may be also considered;
  • An interest to a growing research domain of the future green and low environmental impact digital and hyperconverged infrastructures, understanding the potential role of cloud technologies in reducing overall environmental impact in digital infrastructures;
  • Sufficient experience in developing Machine Learning and Data Analytics applications, knowledge of the popular ML and data mining frameworks, libraries and development environments;
  • Good knowledge of and sufficient experience with cloud based Big Data platforms and services, cloud based development process and tools; experience with DevOps/SRE and tools is an advantage;
  • Ideally, experience with the research on energy efficiency and scientific workflow optimisation, experimental research automation and research data management;
  • Ability to communicate with large number of cooperating senior and junior researchers, advise them on coordinated actions and share experience;
  • Good communicative skills in English, both written and oral.

Beneficially if you have knowledge of the European research area and experience in participating in European projects related to research data infrastructures.

Conditions of employment

We offer a temporary employment contract for 38 hours per week for a period of 36 months {with a probationary period of two months}. The preferred starting date is 1 March 2024 or as soon as possible.

The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,226 to € 5,090 (scale 10). UvA additionally offers an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The UFO profile Researcher 4 is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.

Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
  • 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
  • Multiple courses to follow from our Teaching and Learning Centre;
  • Multiple courses on topics such as leadership for academic staff;
  • Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
  • 7 weeks birth leave (partner leave) with 100% salary;
  • Partly paid parental leave;
  • The possibility to set up a workplace at home;
  • A pension at ABP for which UvA pays two third part of the contribution;
  • The possibility to follow courses to learn Dutch;
  • Help with housing for a studio or small apartment when you’re moving from abroad.

Are you curious to read more about our extensive package of secondary employment benefits, take a look here.

Employer

Faculty of Science

The University of Amsterdam (UvA) is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 42,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.

The Faculty of Science (FNWI) has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.

The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.

The Complex Cyber Infrastructure (CCI) research group at the University of Amsterdam conducts research in the area of complex infrastructure services provisioning including data management infrastructure, cloud resource for data intensive application (also referred to as Big Data), infrastructure and applications security.

Want to know more about our organisation? Read more about working at the University of Amsterdam.

Additional information

Do you have any questions, or do you require additional information? Please contact:

Specifications

  • Postdoc
  • Natural sciences
  • max. 38 hours per week
  • max. €3226 per month
  • Doctorate
  • 12548

Employer

University of Amsterdam (UvA)

Learn more about this employer

Location

Science Park 904, 1098XH, Amsterdam

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Application procedure

If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 11 March 2024.

Applications should include the following information (all files besides your CV should be submitted in one single pdf file):
  • A detailed CV including the months (not just years) when referring to your education and work experience;
  • A letter of motivation;
  • A list of publications;
  • The names and email addresses of two references who can provide letters of recommendation.

Please make sure to provide ALL requested documents mentioned above.
You can use the CV field to upload your resume as a separate pdf document. Use the Cover Letter field to upload the other requested documents, including the motivation letter, as one single pdf file.

A knowledge security check may be part of the selection procedure.
(for details: National knowledge security guidelines).

Only complete applications received within the response period via the link below will be considered. Please don’t send any applications by email.

We will invite potential candidates for interviews soon after the expiration of the vacancy.

Application procedure

Application procedure

If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 11 March 2024.

Applications should include the following information (all files besides your CV should be submitted in one single pdf file):
  • A detailed CV including the months (not just years) when referring to your education and work experience;
  • A letter of motivation;
  • A list of publications;
  • The names and email addresses of two references who can provide letters of recommendation.

Please make sure to provide ALL requested documents mentioned above.
You can use the CV field to upload your resume as a separate pdf document. Use the Cover Letter field to upload the other requested documents, including the motivation letter, as one single pdf file.

A knowledge security check may be part of the selection procedure.
(for details: National knowledge security guidelines).

Only complete applications received within the response period via the link below will be considered. Please don’t send any applications by email.

We will invite potential candidates for interviews soon after the expiration of the vacancy.

Make sure to apply no later than 11 Mar 2024 23:59 (Europe/Amsterdam).