Doctoral student in Electrical Engineering - Hiring in process/Finished, not possible to apply

Project description

The PhD project targets systems where low-power intelligent sensors are connected by beyond-5G/6G wireless systems. These connected intelligent sensors collaborate with the wireless infrastructure (e.g., large intelligent surfaces) to perform distributed sensing of a surrounding. Combination of information fusion and machine learning is used to enable more efficient and robust understanding of the environment. More specifically, the PhD project will combine advanced technologies in wireless communication, computer vision, and machine learning to efficiently perform, e.g., simultaneous localization and mapping (SLAM) tasks. This type of tasks is typically very challenging, given the large amount of sensor data to be processed, the high cost in exchanging information among sensors, and the highly complex algorithms adopted to deliver high accuracy. The PhD project aims to tackle the challenges all the way from the design of low-complexity algorithms to implementation of energy efficient processors/accelerators.

The research area of the doctoral student deals with algorithm optimization, processing distribution, and digital hardware implementation of the type of systems described above.

Work duties

The student will work, together with senior researchers and other PhD students, in a joint research effort between the Department of Electrical and Information Technology and Centre for Mathematical Sciences. The main duties of doctoral students are to devote themselves to their research studies which includes participating in research project described above and third cycle courses. The work duties also include teaching and other departmental duties (no more than 20 %).

Admission requirements

A person meets the general admission requirements for third-cycle courses and study programmes if he or she:

• has been awarded a second-cycle qualification, or
• has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
• has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for third cycle studies in Electrical Engineering if he or she has:

• at least 60 second-cycle credits in subjects of relevance to electrical engineering, or
• a MSc degree in biomedical engineering, computer science, electrical engineering, engineering mathematics, nanoengineering, engineering physics, information and communications engineering.

Additional requirements:

• Very good oral and written proficiency in English.
• Deep knowledge and experience in design and implementation of digital integrated circuits and processor architectures.
• Knowledge of wireless communication systems.
• Knowledge of artificial intelligence systems, computer vision, and/or machine learning.
• Hands-on experience with real AI and learning systems (simulation, implementation, etc.).

Assessment criteria

Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

1. Knowledge and skills relevant to the thesis project and the subject of study.
2. An assessment of ability to work independently and to formulate and tackle research problems.
3. Written and oral communication skills
4. Other experience relevant to the third-cycle studies, e.g. professional experience.

Other assessment criteria:

• Courses, master's thesis, and experience in design of digital integrated circuits.
• Experience in using hardware description language and CAD-systems for digital integrated circuit design. 
• Experience and/or interest in performing system analysis and implementation of signal processing algorithms for wireless communication, computer vision, and machine Learning
• Experience and/or interest in teaching

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.

Terms of employment

Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20 % departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§. .

Instructions on how to apply

Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).