Doctoral student in Electrical Engineering focusing on Machine Learning Full-time

Doctoral Student In Electrical Engineering Focusing On Machine Learning

Lund University, LTH, Electrical and Information Technology

Lund University was founded in 1666 and is repeatedly ranked among the world's top universities. The University has around 46,000 students and 8,500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Description Of The Workplace

The Department of Electrical and Information Technology conducts high-quality research in a variety of areas in electrical engineering, ranging from pure theoretical research to applied projects in close collaboration with industry. It is at the forefront of international research in most of its areas. The Department of Electrical and Information Technology consists of about 100 active researchers, focusing on several research domains, including Secure and Networked Systems, Communications Engineering, Integrated Electronic Systems, Electromagnetics and Nanoelectronics, as well as Intelligent Systems and Machine Learning.

We are now looking for a new doctoral student for work in a WASP-financed project.

Being A Doctoral Student

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

As a doctoral student, you will be trained in a scientific approach. In short, you will be trained to think critically and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout your studies, you will be guided by supervisors. Doctoral studies end with a thesis and a doctoral degree.

More about being a doctoral student at LTH on lth.se.

Subject And Project Description

Machine learning and artificial intelligence have attracted a lot of attention over the past few decades. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in these domains creates many new opportunities, but also involves several major challenges, e.g., complexity of machine learning algorithms and reliability and trust in the decisions made by machine learning algorithms. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden's largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. More on WASP (wasp-sweden.org).

The graduate school within WASP is dedicated to providing the skills needed to analyse, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between doctoral students, researchers and industry. More on WASP graduate school (wasp-sweden.org/graduate-school).

Work Duties

You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences.

You will work within the area of machine learning for IoT-systems to tackle the main challenges in the machine learning domain, e.g., complexity of machine learning algorithms, reliability, and trust. An important part of your work will be to develop the theoretical foundation of trustworthy machine learning and new algorithms to address the challenges within the subject area of this position. You will also be given the opportunity to validate these solutions with experiments and simulations.

The duties also include participation in teaching and other departmental work (however, a maximum of 20% of working hours).

Qualifications

To be eligible for admission and employment as a doctoral student, you must fulfil the requirements below.

Admission Requirements

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

• 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 the applicant has:

• at least 60 second-cycle credits in subjects of relevance to electrical engineering, or
• a MSc in Engineering in Biomedical Engineering, Computer Science, Electrical Engineering, Engineering Mathematics, Nanoengineering, Engineering Physics or Information and Communication Engineering.

Additional Requirements

In order to complete the doctoral programme in question, the following are also required:

• Good ability to work independently and to formulate and tackle research problems.
• Good written and oral communication skills.
• Good ability to cooperate.
• Very good knowledge of English, spoken and written.
• Very good programming skills.

We Offer

Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. More about working at Lund University on lu.se.

About The Employment

The employment is a fixed-term employment at full time, starting as soon as possible by agreement, however no later than January 1, 2027. Third cycle studies at LTH consist of full-time studies for 4 years. In the case of teaching and other departmental duties, the employment is extended accordingly. Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§. More about terms of employment for doctoral students on Lund University's Staffpages.

How To Apply

Applications shall be written in English and include:

• CV and a cover letter stating the reasons why you are interested in the doctoral programme/employment and in what way the research project corresponds to your interests and educational background.
• Copies of issued study certificates and/or awarded degree certificates. These must confirm that you meet the general and specific admission requirements for the doctoral programme and show that you have the subject knowledge required for the doctoral programme project.
• Other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.)

We welcome your application.

About The Faculty Of Engineering

LTH is Lund University's Faculty of Engineering. At LTH we educate people, build knowledge for the future and work hard for the development of society. We create space for brilliant research and inspire creative advancements in technology, architecture and design. We have nearly 12,000 students. Every year, our researchers – many of whom work in world-leading profile areas – publish around 100 theses and 2,000 scientific findings. In addition, a number of research results and degree projects are transformed into innovations. Together we explore and create – to benefit the world.

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