Tag-arkiv: Mälardalen University

PhD student in Computer Science – Robots for Automated Construction

PhD student in Computer Science – Robots for Automated Construction

Ref 2018/2292

Mälardalen University (MDH) in Eskilstuna and Västerås is one of Sweden’s largest university colleges with over 14 000 students and more than 900 employees. It has a long tradition of cooperating with society and has entered strategic agreements with both the public and the private sector. Most study programs fall into one of four main areas: economy, health and welfare, education, and engineering. The MDH research often takes the form of co-creation with external partners on the regional, national and global levels, with the aim to generate useful solutions for societal development. In 1999, MDH was the world’s first university to be environmentally certified, and in 2006, it was the first higher education institution in Sweden to be certified for its work environment.

Skanska is one of the world’s leading companies within construction, project development of commercial and residential projects and public-private partnerships. The Group has 41 000 employees in eleven selected home markets in Europe and the United States, with headquarters located in Stockholm.

This PhD student position is a university PhD position, part of the Automation Region Research Academy (ARRAY), hosted by Embedded Systems (ES) – the most research-intensive research environment at MDH and a national leader in embedded-systems research. ES is organized in 15 mutually supportive and cooperating research groups, and includes 38 professors, 75 additional senior researchers and more than 80 PhD-students. ARRAY include a total of 15 PhD students focusing on different aspects of automation related research.

Research at ES has a dominating focus on embedded software, with world leading competence in embedded-software development and real-time systems modelling and analysis. Internationally, ES has extensive co-operation and is known for its research as well as its strong industrial links. Industrial partners include major companies, such as ABB, Bombardier, Ericsson, Scania, Skanska and Volvo, as well as many smaller businesses, including several spin-off companies. ES provides a stimulating international research environment, characterized by its cooperative atmosphere, openness, and team spirit – a great environment for a researcher to grow in; with a mix of established and young researchers, several of which are employed or funded by industry.

Employment of the PhD student is with MDH. The education is carried out at MDH in collaboration with Skanska Sverige AB and other partners including ABB AB and Robotdalen. Complementing competences are available at MDH, Skanska, ABB AB and Robotdalen to support the successful completion of the research project.

Employment information

Employment: Temporary employment
Scope: Full time
Closing date for application: 2018-10-31
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Position description

The projects guiding vision is a fully automated fabrication process of custom-made reinforcement cages for reinforced concrete structures, using robotics. The overall goal of such an automated solution is to provide higher efficiency in the construction process and at the same time securing higher quality and an overall lower risk for humans involved in such harsh work.

The focus of this PhD student position is to address a set of challenges when it comes to robotic automated fabrication of reinforcement cages for concrete structures. This involves addressing specific challenges related to the creation of algorithms for automated programming and control of robotic motion planning and execution, based on construction documents and 3D models. Given such models and algorithms the robots shall create the reinforcement cages. The research includes planning of seamless and collision free robotic movements including the specific robot operations for placing, fixing (tying, welding), etc., to achieve the desired reinforcement cage.

The project is funded by Skanska Sverige AB, the Knowledge Foundation (KKS) and SBUF (the construction industry’s organization for research and development).

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).

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

Experience in robotics, modelling, autonomous systems, embedded systems is considered as a merit.

Experience with construction engineering is considered as a merit.

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.

Contact person

Thomas Nolte

Professor

thomas.nolte@mdh.se

Lars Pettersson

Professor

lars.g.pettersson@skanska.se

Michaël Le Duc

Facklig representant SACO

021-10 14 02

Susanne Meijer

Facklig representant (OFR)

021-10 14 89

Apply

Read the job description at the university homepage

Post expires on Wednesday October 31st, 2018

PhD student in Computer Science – Autonomous and Automated Road Construction

PhD student in Computer Science – Autonomous and Automated Road Construction

Ref 2018/2290

Mälardalen University (MDH) in Eskilstuna and Västerås is one of Sweden’s largest university colleges with over 14 000 students and more than 900 employees. It has a long tradition of cooperating with society and has entered strategic agreements with both the public and the private sector. Most study programs fall into one of four main areas: economy, health and welfare, education, and engineering. The MDH research often takes the form of co-creation with external partners on the regional, national and global levels, with the aim to generate useful solutions for societal development. In 1999, MDH was the world’s first university to be environmentally certified, and in 2006, it was the first higher education institution in Sweden to be certified for its work environment.

Skanska AB is one of the world’s leading companies within construction, project development of commercial and residential projects and public-private partnerships. The Group has 41 000 employees in eleven selected home markets in Europe and the United States, with headquarters located in Stockholm.

This PhD student position is a university PhD position, part of the Automation Region Research Academy (ARRAY), hosted by Embedded Systems (ES) – the most research-intensive research environment at MDH and a national leader in embedded-systems research. ES is organized in 15 mutually supportive and cooperating research groups, and includes 38 professors, 75 additional senior researchers and more than 80 PhD-students. ARRAY include a total of 15 PhD students focusing on different aspects of automation related research.

Research at ES has a dominating focus on embedded software, with world leading competence in embedded-software development and real-time systems modelling and analysis. Internationally, ES has extensive co-operation and is known for its research as well as its strong industrial links. Industrial partners include major companies, such as ABB, Bombardier, Ericsson, Scania, Skanska and Volvo, as well as many smaller businesses, including several spin-off companies. ES provides a stimulating international research environment, characterized by its cooperative atmosphere, openness, and team spirit – a great environment for a researcher to grow in; with a mix of established and young researchers, several of which are employed or funded by industry.

Employment of the PhD student is with MDH. The education is carried out at MDH in collaboration with Skanska and other partners including Volvo CE and ABB AB. Complementing competences are available at Skanska, Volvo CE, ABB AB and MDH to support the successful completion of the research project.

Employment information

Employment: Temporary employment
Scope: Full time
Closing date for application: 2018-10-31
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Position description

The project’s guiding vision is autonomous machines that are used for asphalting roads. The overall goal of such an autonomous solution is to provide higher quality road construction also with an overall lower risk for humans involved in such work.

The focus of this PhD student position is to address research challenges related to such automated road construction. Research challenges of the project include modelling, algorithm construction and embedded system design. Work includes analysis of machines involved in road construction, including machines used in Sweden and by Skanska AB. Asphalting (dispersion and compacting) is conducted guided using sensor data, e.g., characteristics of asphalt temperature and density, and geographical data/landscape maps, e.g., Land XML. Such data is to be used for machine control of a set of integrated machines used for the asphalting part of road construction.

Guiding the design of the embedded system architecture needed to realize such a system – a cyber physical system tailored for automated road construction – are requirements inherent in the ability of collecting correct and relevant data (sensors, algorithms, computations) along with conducting automated and seamless route planning of machines (algorithms, computations).

The project is funded by Skanska Sverige AB, the Knowledge Foundation (KKS) and SBUF (the construction industry’s organization for research and development).

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).

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

Experience in modelling, autonomous systems, embedded systems is considered as a merit.

Experience with road construction is considered as a merit.

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.

Contact person

Thomas Nolte

Professor

thomas.nolte@mdh.se

Joakim Jeppsson

Doktor

joakim.jeppsson@skanska.se

Michaël Le Duc

Facklig representant SACO

021-10 14 02

Susanne Meijer

Facklig representant (OFR)

021-10 14 89

Apply

Post expires on Wednesday October 31st, 2018

PhD student in Computer Science – Probabilistic Timing Analysis of Real-Time Systems

PhD student in Computer Science – Probabilistic Timing Analysis of Real-Time Systems

Ref 2018/2295

At Mälardalen University people meet who want to develop themselves and the future. Our 15 000 students read courses and study programmes in Business, Health, Engineering and Education. We conduct research within all areas of education and have internationally outstanding research in future energy and embedded systems. Our close cooperation with the private and public sectors enables us at MDH to help people feel better and the earth to last longer. Mälardalen University is located on both sides of Lake Mälaren with campuses in Eskilstuna and Västerås.

At the School of Innovation, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, communications officers, network technicians and engineers. Here we have the research specialisations of Embedded Systems, and Innovation and Product Realisation. Our work takes place in cooperation with and in strategic agreements with companies, organisations and public authorities in the region.

Employment information

Employment: Temporary employment
Scope: Full time
Closing date for application: 2018-10-31
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Mälardalen University (MDH) in Eskilstuna and Västerås is one of Sweden’s largest university colleges with over 14 000 students and more than 900 employees. It has a long tradition of cooperating with society and has entered strategic agreements with both the public and the private sector. Most study programs fall into one of four main areas: economy, health and welfare, education, and engineering. The MDH research often takes the form of co-creation with external partners on the regional, national and global levels, with the aim to generate useful solutions for societal development. In 1999, MDH was the world’s first university to be environmentally certified, and in 2006, it was the first higher education institution in Sweden to be certified for its work environment.

The position is to be hosted by Embedded Systems (ES), which is the most research-intensive research environment at MDH and a national leader in embedded-systems research. Research at ES has a dominating focus on embedded software, with world leading competence in embedded-software development and real-time systems modelling and analysis. Internationally, ES has extensive co-operation and is known for its research as well as its strong industrial links. Industrial partners include major companies, such as ABB, Bombardier, Ericsson, Scania, Skanska and Volvo, as well as many smaller businesses, including several spin-off companies. ES provides a stimulating international research environment, characterized by its cooperative atmosphere, openness, and team spirit – a great environment for a researcher to grow in; with a mix of established and young researchers, several of which are employed or funded by industry. The research is organized in 15 mutually supportive and cooperating research groups, and includes 38 professors, 75 additional senior researchers and more than 80 PhD-students.

Employment is with MDH and education is carried out at MDH.

Position description

The focus of this PhD student position is research into practical probabilistic timing analysis of real-time systems. This is an area of research that has been receiving an increasing attention by the research community over the past years, which traditionally has focused on worst-case timing analysis of real-time systems.

The focus of this research project is two-folded – partly analysis techniques of established and well-known run-time mechanisms of embedded software systems, e.g., schedulers and protocols, and partly development of new run-time mechanisms tailored for probabilistic analysis of their corresponding timing behavior. The former line of work provides solutions applicable for existing embedded software systems, i.e., the solutions are easier to utilize in existing systems. The latter line of work allows for designing and analyzing novel run-time mechanisms that potentially result in a more predictable behavior of probabilistically analyzed real-time systems. In summary, the PhD project will develop several probabilistic timing analysis techniques, following a new direction when it comes to providing analysis of a real-time systems.

The project is funded by the project Swedish Science Council (Vetenskapsrådet) project “Practical probabilistic timing analysis of real-time systems” and MDH.

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).

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

Experience in real-time scheduling and real-time systems is considered as a merit.

Experience with probability and statistics is considered as a merit.

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.

Contact person

Thomas Nolte

Professor

thomas.nolte@mdh.se

Alessandro Papadopoulos

Assistant. Prof

alessandro.papadopoulos@mdh.se

Michaël Le Duc

Facklig representant SACO

021-10 14 02

Susanne Meijer

Facklig representant (OFR)

021-10 14 89

Apply

Post expires on Wednesday October 31st, 2018