PhD Student in Control Engineering at Lund University

Lund University was founded in 1666 and is consistently ranked among the world's leading universities. It has approximately 47,000 students and more than 8,800 employees in Lund, Helsingborg, and Malmö. We are united in our efforts to understand, explain, and improve our world and the conditions of people.

Lund University welcomes applicants from diverse backgrounds and experiences. Equality, equal opportunities, and diversity are fundamental principles for all parts of our operations.

Being a PhD Student

As a PhD student, you are both admitted as a student and employed at Lund University.

As a doctoral student, you are trained in a scientific approach. This can be briefly described as gaining practice in critical and analytical thinking, solving problems independently using the right methodological choices, and developing research ethics awareness. Additionally, you will have the opportunity to work on projects, develop your leadership skills, and enhance your pedagogical abilities. Throughout your studies, you will be guided by supervisors. Doctoral studies conclude with a dissertation and a doctoral degree.

Learn more about being a PhD student at LTH at lth.se (https://www.lth.se/forskning/forskarutbildning/).

Subject and Project Description

Dual Control at Scale: Learning-based control for systems with millions of states is funded by an ERC Advanced Grant, a prestigious international research grant aimed at enabling groundbreaking research in the long term. The project focuses on learning-based control engineering for high-dimensional data. Applications for personalized immunotherapy for cancer are also addressed. The grant funds two postdoctoral researchers and several PhD students with complementary skills. In this call, we are looking for a mathematically oriented PhD student with expertise in systems theory and control engineering.

Dynamics of large-scale socio-technical networks is funded by the Swedish Research Council and the strategic research area ELLIIT. Here, we study large-scale systems where human agents interact with AI agents (such as chatbots and LLMs or automated decision-makers) and/or technical network systems (such as energy or traffic networks). We use methods from control engineering and systems theory combined with graph theory and/or data analysis to understand these complex network dynamics, optimize them, and ensure safety and robustness.

Responsibilities

You will primarily focus on your doctoral education, which includes participation in research projects as well as doctoral education courses, seminars, and conferences.

The main task for a PhD student is to engage in their doctoral education.

The PhD position consists of three main parts, and the responsibilities include:

• research projects, including writing articles, traveling to conferences, seminars, etc.
• doctoral education courses, local, national, as well as international courses (90 credits)
• teaching (max 20% of working hours), including lab supervision, exam responsibility, and development work. This part also includes departmental duties, e.g., work on diversity and equal treatment, organizing events at the department, etc.

Qualifications

To be accepted and employed as a PhD student, you must meet the requirements below.

Eligibility Requirements

You meet the basic eligibility for doctoral education if you have:

• a completed master's degree or
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at the master's level or
• acquired equivalent knowledge in some other way.

Specific Eligibility for Control Engineering

You meet the specific eligibility for control engineering if you have:

knowledge equivalent to “FRTF05 Control Engineering, general course (previously FRT010)”, as well as a specialization at the master's level relevant to the subject area, and a master's degree in engineering or equivalent competence.

Other Requirements

To benefit from the current doctoral education, the following is also required:

• very good knowledge of English, both spoken and written.
• good linguistic analytical ability.
• good creative ability to come up with new ideas and approaches.
• good ability to collaborate with colleagues and network with external contacts.
• self-driven and structured, taking personal responsibility for advancing studies and research projects.
• good ability for independent work and the ability to formulate and tackle scientific problems.
• good ability for written and oral communication.
• good knowledge of mathematics as evidenced by course grades.

For more information, see the full advertisement.

Welcome with your application!

LTH – Lund University Faculty of Engineering – is the engineering faculty at Lund University. At LTH, we educate people, build knowledge for the future, and work hard to develop society. We create space for brilliant research and inspire creative development in technology, architecture, and design. Nearly 10,000 students study here. Each year, our researchers – many of whom operate in world-leading profile areas – publish around 100 dissertations and 2,000 scientific findings. A number of research results and student projects are refined into innovations. Together, we explore and create – for the benefit of the world.

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