Faculty of Engineering, Electrical and Information Technology

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 42 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.

Subject description
The subject of the Post-doctoral position is Electrical Engineering with a specific focus on machine learning, where theoretical studies of properties and performance  as well as algorithm development and design of computing architectures are included. Efficient implementation of machine learning, both from performance and energy perspectives, are becoming increasingly important in many application areas. The research will be performed in the boundary between theory, application and implementation, with final implementation as a target.

Work duties
The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning.

Detailed description of the work duties, such as:

  • Research within the subject area, as described above
  • Supervision of degree projects and doctoral students
  • Teaching in the first, second and third cycles of studies
  • Actively seeking external research funding
  • Collaboration with industry and wider society
  • Administration related to the work duties listed above

Qualification requirements
Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the last date for applications. Under special circumstances, the doctoral degree can have been completed earlier.

Additional requirements:

  • Very good oral and written proficiency in English.
  • Experience with theoretical and/or practical aspects of machine learning.
  • Good knowledge on different implementation methods for machine learning.

Assessment criteria and other qualifications
This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers.

Particular emphasis will be placed on research skills within the subject.

For appointments to a post-doctoral position, the following shall form the assessment criteria:

  • A good ability to develop and conduct high quality research.
  • Teaching skills.

Additional assessment criteria:
Knowledge in the general area of artificial intelligence and in particular machine learning and associated algorithms. Experience with implementing machine learning in different forms, from pure software development via the use of specialized hardware to development of entire computational architectures and accelerators on circuit level.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Terms of employment
This is a full-time, fixed-term employment of a maximum of 2 years. The period of employment is determined in accordance with the agreement “Avtal om tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term employment as a post-doctoral fellow”) between Lund University, SACO-S, OFR/S and SEKO, dated 4 September 2008.

Instructions on how to apply
Applications shall be written in English. Please draw up the application in accordance with LTH’s Academic qualifications portfolio – see link below. Upload the application as PDF-files in the recruitment system. Read more:

http://www.lth.se/index.php?id=71223

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment As soon as possible
Salary Monthly
Number of positions 1
Working hours 100 %
City Lund
County Skåne län
Country Sweden
Reference number PA2018/497
Contact
  • Ove Edfors, Professor, +46 46 2229026
  • Joachim Rodrigues, Ass professor, +46 46 2224868
Published 09.Feb.2018
Last application date 28.Feb.2018 11:59 PM CET

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