PhD student in Real-Time Cloud Computing

Mälardalen University
February 26, 2023
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PhD student in Real-Time Cloud Computing Västeras

Mälardalen University is growing and evolving due to increased research funding from the Swedish Government. Join our team on this exciting journey towards MDU`s vision, to be a progressive and collaborative University where together we shape a sustainable future. You can make a difference. Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and internationally. Around 20 000 students are currently studying courses and programmes with us in the various domains. We offer education in areas such as design and communication, economics, health, engineering and technology, preschool and compulsory school teacher training as well as in chamber music and opera. In most of our areas we also offer programmes entirely taught in English. We conduct research in all disciplinary domains and our research in Future Energy and Embedded Systems is internationally prominent. Mälardalen University is located in Sweden, on both sides of Lake Mälaren, with campuses in Eskilstuna and Västerås. Mälardalen is a region dominated by strong growth with several multinational companies based here such as ABB, Volvo, Westinghouse, Alstom and Northvolt. We enjoy close cooperation with the region's private sector, municipalities, and county councils.

At the School of Health, Care and Social Welfare our students are studying to be for example behavioural scientists, public health scientists, physiotherapists, nurses, social workers and specialist nurses. Here we have the research specialisation of Health and Welfare. Our work takes place in cooperation with and in strategic agreements with county councils, municipalities and companies in the region.

Employment information

Employment: Temporary employment Scope: Full time Closing date for application: 2023-02-26 Campus location: Västeras School: School of Innovation, Design and Engineering, (IDT)

Position description

The VINNOVA-funded project “AORTA: Advanced Offloading for Real-Time Applications” is announcing a PhD position in real-time cloud computing. The goal of AORTA is to develop a framework that allows offloading of real-time services and functionality to the edge and cloud, as well as integration of them with services in the edge/cloud computing nodes. The ambition is to support, for example, advanced robotics or manufacturing systems in utilizing non-local services in a predictable fashion. We will build upon recent advances in predictable communication and compute technologies, such as Kubernetes and 5G. A new real-time computing platform consisting of a portable real-time virtual machine or real-time containers that supports dynamic code migration for offloading. The project is a strong collaboration among Mälardalen University, Lund University, Ericsson, and Cognibotics.

In this context, the PhD student will focus on developing a new technique to allow holistic modelling of real-time applications that utilize edge-cloud computing continuum. The model should be expressive enough to model the application's recourse information such as end-to-end timing, network bandwidth, memory, and computing resources. In addition, the PhD student will develop a framework that will continuously monitor the application's resource requirements and based on the dynamic updates in the resource requirements, the application can be dynamically offloaded to the most suitable computer platform. The communication resources should be taken into account for the offloading decisions. The defined tasks will be done in close collaborations with Ericsson.

Qualifications

Only those who are or have been admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral studentships. For futher information see Chapter 5 of the Higher Education Ordinance (SFS 1993:100).

To qualify as a PhD student for this project, you should have a master's level degree in computer science, computer engineering, or software engineering. Strong knowledge on edge-cloud computing systems is essential. Moreover, prior knowledge about embedded systems, real-time systems, and real-time networks are needed. Additional knowledge in applied mathematics and optimization problems are also required.

The position requires a strong motivation for research, good verbal and written communication skills in English. Decisive importance is attached to personal suitability. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.

Decisive importance is attached to personal suitability. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.

Merit

Background in optimization solvers, programming in C and Matlab, knowledge in virtualization (VMs) and Containers for cloud computing are merits. Moreover, knowledge in virtualization of computing resources and real-time systems analysis are considered as merits.

Application

Application is made online. Make your application by clicking the "Apply" button below.

The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.

We look forward to receiving your application.

We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.

Union representatives:

Michaël Le Duc (SACO), tel: +46 (0) 21-10 14 02 Susanne Meijer (OFR), Tel: +46 (0) 21-10 14 89

We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.

Contact person

Mohammad Ashjaei

+46 (0) 21 15 17 72

mohammad.ashjaei@mdu.se

Saad Mubeen

+46 (0) 21 10 31 91

saad.mubeen@mdu.se

URL to this page

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