PhD student in Automatic Control with Focus on Agile Robotic Sensing and Inference

Updated: 5 months ago
Deadline: 20 Apr 2023

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We are looking for a PhD student in Automatic Control.

Your work assignments

State estimation and inference play imperative roles in reaching high-performance robotic autonomy. Recent advances in sensor technologies have provided enormous possibilities and challenges ranging from hardware utility and data collection to information processing and predictive inference. Meanwhile, autonomous systems have been deployed to numerous use cases, where universally adaptive sensing and inferential techniques are preferred or required.

In this PhD project, we investigate novel methodologies for state estimation and inference in robotics. A series of studies are to be conducted with consideration of constraints in kinodynamic systems and sensor data using uncertainty-aware motion representation and statistical machine learning. The theoretic-based methods are to be further validated in real-world scenarios in a performance-oriented manner.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Your qualifications

You have a master's degree in computer science, mechatronics, electrical engineering, engineering physics, applied mathematics, or similar from an internationally visible university with excellent academic results.

We expect you to be proficient in both oral and written communication in English. Dedication to performing cutting-edge research is necessary. You should be confident in working on mathematics (in particular, statistics) and have very solid programming skills in C++ and a scripting language such as Matlab or Python. Pre-knowledge about (statistical) sensor fusion, particularly with on-manifold variables, is an advantage. It is also preferable that you have hands-on experience with developing real-time systems in ROS using common sensors such as IMU, camera or LiDAR.

Your workplace

The Division of Automatic Control at Linköping University carries out research, undergraduate and postgraduate education within control, sensor fusion, system identification, autonomous systems, robotics, complex networks, optimization, and learning control. Read more:

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date by agreement.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants .

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 2023-04-20.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities .

We look forward to receiving your application!

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