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Doctoral Candidate position in Systems and Analytics in Edge-Cloud-HPC Continuum

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 12 000 students, 400 professors and close to 4 000 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 45 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times Higher Education subject ranking 2020).

We are now looking for a

Doctoral Candidate to join the Aalto Systems and Services Engineering Analytics (AaltoSEA) Group.

Your role and goals

We are looking for a Doctoral Candidate for IoT, Edge, and Cloud services engineering research, especially systems and analytics for ML/big data across IoT, Edge, Cloud and HPC continuum (monitoring, analysis, observability, experiments, explainability) to achieve robustness, reliability, resilience and elasticity for ML/big data systems. This research direction spans across networked systems and services, serving engineering and machine learning.

Your network and team

The Aalto Systems and Services Engineering Analytics (AaltoSEA) Group concentrates and consolidates research activities, resources, results, and collaborations on foundational principles, concepts and techniques for service engineering analytics of distributed software systems and services, big data applications, machine learning systems and IoT

Your experience and ambitions

  • eligible for PhD study at Aalto University (https://into.aalto.fi/display/endoctoralsci/How+to+apply#Howtoapply-Eligibility)
  • excellent knowledge in edge and cloud computing
  • very good in scientific writing and communication skills
  • very good knowledge about tools and techniques for engineering analytics (monitoring, observability)
  • very good knowledge in big data, data science and possible ML techniques
  • very good programming skills (e.g., in Java, Python, GoLang and/or JavaScript/TypeScript)

What we offer

By working in our group you would get the possibility to join a top notch research environment in edge-cloud, big data/ML for large scale software systems and also have a strong collaboration with other research groups in Aalto and EU. You would be able to travel for visits or exchanges with other world class research groups outside Finland.

We offer a two-year fixed-term contract with the possibility for two years extension, during which you will be working towards your Doctoral dissertation in one of the top universities in Nordic countries (https://www.aalto.fi/en/aalto-university/rankings). The employment is full-time and paid position with high level occupational health care. Starting monthly salary in the position is 2600 euros.

Ready to apply?

If you want to join our community, please submit your application through our recruitment system. We will review applications as they arrive and the position will be filled in as soon as suitable candidate has been found.  You will hear from us the latest within two weeks from the application submission.

If you wish to hear more about the position, you can reach out to Associate Professor Linh Truong [email protected] with the topic “PhD position in Systems and Analytics in Edge-Cloud-HPC Continuum".

If you are already working at Aalto University, please apply via our internal Workday system (Career).  

To apply, please share the following application materials in one pdf file with us:

  • a cover letter to explain your motivation and plan
  • CV
  • Your Bachelor and master transcripts
  • Links to your online master thesis
  • Master thesis evaluation if possible
  • Any papers/reports/writing demonstrating your research and writing
  • Name, afficiation and email of two potential referees
  • Links to your open source software projects

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. And this webpage about Aalto and Finland. https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package

Check out our new virtual campus experience: https://virtualtour.aalto.fi/

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/.

For more information about living in Finland: https://www.aalto.fi/services/about-finland

For more information about moving to Finland: https://www.aalto.fi/en/services/incoming-international-staff

More about Aalto University:

Aalto.fi
twitter.com/aaltouniversity  
facebook.com/aaltouniversity
instagram.com/aaltouniversity

Interested?
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