Programme overview
Main Subject
Engineering - General
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Graduate School Machine and Vehicle systems are both basic science and applied. As a doctoral student, you will learn technical problem solving through quantitative and qualitative thinking.
The development of measurement methods and simulation models are both important elements in the graduate school. You can also carry out your own research through both theoretical and practical experiments. In the graduate school of machine and vehicle systems, the research is focused on three specializations: applied artificial intelligence (AI), vehicle dynamics, and traffic safety. Read more about the different specializations in the study plan.
The Graduate School is organised within the Department of Mechanical Engineering.
Description of subject
The doctoral programme at Machine and Vehicle Systems includes theoretical and applied research methods. The objective is to give knowledge and skills beyond that at the Master’s level, both in terms of depth and breadth. The programme offers both qualitative and quantitative knowledge and skills in scientific engineering problem solving. The student shall carry out theoretical or experimental investigations in the given topic. The development of experimental techniques and mathematical models is an essential component of the work.
Description of specializations
Research at the Research School for Machine and Vehicle Systems is divided into three specializations:
The Applied Artificial Intelligence (AI) research involves biological computational methods and their application in various areas, in particular autonomous vehicles and robots.
Vehicle Dynamics
The Vehicle Dynamics research is oriented toward the dynamic performance of vehicles exposed to various driving conditions.
Traffic Safety
Traffic Safety covers a wide research area. This includes increasing our understanding of road users’ behaviour, why crashes happen, safety aspects of autonomous driving, injury mechanisms, human body modelling, and human tolerance levels in crash. Such research could be used to support the development of crash prevention systems and protective systems for all road users
The development of measurement methods and simulation models are both important elements in the graduate school. You can also carry out your own research through both theoretical and practical experiments. In the graduate school of machine and vehicle systems, the research is focused on three specializations: applied artificial intelligence (AI), vehicle dynamics, and traffic safety. Read more about the different specializations in the study plan.
The Graduate School is organised within the Department of Mechanical Engineering.
Description of subject
The doctoral programme at Machine and Vehicle Systems includes theoretical and applied research methods. The objective is to give knowledge and skills beyond that at the Master’s level, both in terms of depth and breadth. The programme offers both qualitative and quantitative knowledge and skills in scientific engineering problem solving. The student shall carry out theoretical or experimental investigations in the given topic. The development of experimental techniques and mathematical models is an essential component of the work.
Description of specializations
Research at the Research School for Machine and Vehicle Systems is divided into three specializations:
- Applied AI
- Vehicle Dynamics
- Traffic Safety
Applied AI
The Applied Artificial Intelligence (AI) research involves biological computational methods and their application in various areas, in particular autonomous vehicles and robots.
Vehicle Dynamics
The Vehicle Dynamics research is oriented toward the dynamic performance of vehicles exposed to various driving conditions.
Traffic Safety
Traffic Safety covers a wide research area. This includes increasing our understanding of road users’ behaviour, why crashes happen, safety aspects of autonomous driving, injury mechanisms, human body modelling, and human tolerance levels in crash. Such research could be used to support the development of crash prevention systems and protective systems for all road users
Programme overview
Main Subject
Engineering - General
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Graduate School Machine and Vehicle systems are both basic science and applied. As a doctoral student, you will learn technical problem solving through quantitative and qualitative thinking.
The development of measurement methods and simulation models are both important elements in the graduate school. You can also carry out your own research through both theoretical and practical experiments. In the graduate school of machine and vehicle systems, the research is focused on three specializations: applied artificial intelligence (AI), vehicle dynamics, and traffic safety. Read more about the different specializations in the study plan.
The Graduate School is organised within the Department of Mechanical Engineering.
Description of subject
The doctoral programme at Machine and Vehicle Systems includes theoretical and applied research methods. The objective is to give knowledge and skills beyond that at the Master’s level, both in terms of depth and breadth. The programme offers both qualitative and quantitative knowledge and skills in scientific engineering problem solving. The student shall carry out theoretical or experimental investigations in the given topic. The development of experimental techniques and mathematical models is an essential component of the work.
Description of specializations
Research at the Research School for Machine and Vehicle Systems is divided into three specializations:
The Applied Artificial Intelligence (AI) research involves biological computational methods and their application in various areas, in particular autonomous vehicles and robots.
Vehicle Dynamics
The Vehicle Dynamics research is oriented toward the dynamic performance of vehicles exposed to various driving conditions.
Traffic Safety
Traffic Safety covers a wide research area. This includes increasing our understanding of road users’ behaviour, why crashes happen, safety aspects of autonomous driving, injury mechanisms, human body modelling, and human tolerance levels in crash. Such research could be used to support the development of crash prevention systems and protective systems for all road users
The development of measurement methods and simulation models are both important elements in the graduate school. You can also carry out your own research through both theoretical and practical experiments. In the graduate school of machine and vehicle systems, the research is focused on three specializations: applied artificial intelligence (AI), vehicle dynamics, and traffic safety. Read more about the different specializations in the study plan.
The Graduate School is organised within the Department of Mechanical Engineering.
Description of subject
The doctoral programme at Machine and Vehicle Systems includes theoretical and applied research methods. The objective is to give knowledge and skills beyond that at the Master’s level, both in terms of depth and breadth. The programme offers both qualitative and quantitative knowledge and skills in scientific engineering problem solving. The student shall carry out theoretical or experimental investigations in the given topic. The development of experimental techniques and mathematical models is an essential component of the work.
Description of specializations
Research at the Research School for Machine and Vehicle Systems is divided into three specializations:
- Applied AI
- Vehicle Dynamics
- Traffic Safety
Applied AI
The Applied Artificial Intelligence (AI) research involves biological computational methods and their application in various areas, in particular autonomous vehicles and robots.
Vehicle Dynamics
The Vehicle Dynamics research is oriented toward the dynamic performance of vehicles exposed to various driving conditions.
Traffic Safety
Traffic Safety covers a wide research area. This includes increasing our understanding of road users’ behaviour, why crashes happen, safety aspects of autonomous driving, injury mechanisms, human body modelling, and human tolerance levels in crash. Such research could be used to support the development of crash prevention systems and protective systems for all road users
Admission Requirements
General entry requirements
To be qualified for admission in Machine and Vehicle Systems the student must have earned a degree at the second-cycle level. The orientation of the student’s degree shall also have a sufficiently close connection to the subject of the doctoral programme. Equivalent requirements apply to individuals who have taken their first degree in a country other than Sweden. The examiner, in consultation with the principal supervisor, shall assess whether the applicant has the requisite capacity to successfully complete the doctoral programme. Other requirements for general entry are regulated in Appointment regulation for doctoral programmes.
Admission
Regulations regarding admission are stated in Appointment regulation for doctoral programmes.
To be qualified for admission in Machine and Vehicle Systems the student must have earned a degree at the second-cycle level. The orientation of the student’s degree shall also have a sufficiently close connection to the subject of the doctoral programme. Equivalent requirements apply to individuals who have taken their first degree in a country other than Sweden. The examiner, in consultation with the principal supervisor, shall assess whether the applicant has the requisite capacity to successfully complete the doctoral programme. Other requirements for general entry are regulated in Appointment regulation for doctoral programmes.
Admission
Regulations regarding admission are stated in Appointment regulation for doctoral programmes.
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