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The selected candidate will conduct cutting-edge research on unconventional array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance.

As a doctoral 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% full-time.

Your qualifications

You have graduated at Master’s level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field.

Good command of electromagnetic simulation tools such as CST Microwave Studio, HFSS  or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm development. Basic familiarity with experimental validation of antenna designs, including measurement techniques in anechoic chambers or reverberation chambers, is expected. Knowledge of radar systems, particularly MIMO radar, and wave propagation channel modelling is highly desirable.

We place particular emphasis on your ability to apply an interdisciplinary approach to problem-solving or your willingness to acquire the necessary skills to do so.

The ability to work both independently and collaboratively within a diverse research team is critical. We highly value personal qualities such as strong problem-solving skills, a proactive and enthusiastic approach to engineering research, and adaptability. Proficiency in English, both written and spoken, is required.

Great emphasis will be placed on personal qualities and suitability.

Your workplace

This ELLIIT-funded project will be conducted at the Physics, Electronics, and Mathematics (FEM) division within the Department of Science and Technology (ITN) at Linköping University, Norrköping campus. It is a collaborative effort with Lund University. The research will be supervised by Sr. Associate Professor Andrés Glazunov as the main supervisor, with co-supervision from Professor Fredrik Tufvesson.

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 1st of May 2025 or as soon as possible thereafter.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression. Starting salary for PhD students is 33 900 SEK/month. 

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 7th March, 2025

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!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Andrés Alayón Glazunov

Senior associate professor

andres.alayon.glazunov@liu.se

Martina Klefbeck

HR partner

011-363166

martina.klefbeck@liu.se

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