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.

Job Assignments

Exceptional applicants are invited to apply for a Ph.D. position focused on sparse and statistical signal processing. The research project is concerned with sparse modeling and representation of various forms of signals, including, in particular, acoustical and spectroscopic measurements. The project considers sparse modeling in inter- and cross-disciplinary applications, and may also include topics such as robust beamforming, spectral representation of sparse signals, compressive sensing, and dictionary learning. The project is of a collaborative nature, and involves cross-disciplinary topics and investigations as a part of the focus.

Candidates are invited to contact Prof. Andreas Jakobsson for further information about the project.

Eligibility

Students with basic eligibility for third-cycle studies are those who- have completed a second-cycle degree- have completed courses of at least 240 credits, of which at least 60 credits are from second-cycle courses, or- have acquired largely equivalent knowledge in some other way, in Sweden or abroad.

Specific admission requirements To be admitted to the third-cycle programme in Mathematical Statistics the student must have passed independent study courses in mathematics comprising at least 60 credits including at least 30 credits in mathematical statistics. A degree project of at least 30 credits is also required. Equivalent knowledge acquired through corresponding programmes will be assessed individually.

Applicants should have a strong background in sparse modeling and optimization, statistical signal processing, and mathematical statistics, and should have (or obtain within 3 months after 1/9 2015) a M.Sc. degree in Engineering Mathematics, Engineering Physics, Mathematics, or a related discipline. Proficiency in English is a requirement.

Basis of Assessment

The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a doctoral studentship is made, the ability of the student to benefit from PhD-studies shall primarily be taken into account. In addition to devoting themselves to their studies, those appointed to doctoral studentships may be required to work with educational tasks, research and administration, in accordance with specific regulations in the ordinance.

In selecting between applicants who meet the requirements, their ability to benefit from the course or study programme shall be taken into account. However, the fact that an applicant is considered able to transfer credits from prior courses and study programmes or for professional or vocational experience may not alone give thevapplicant priority over other applicants.

The following selection criteria will be applied: Study record from undergraduate and Master’s courses or the equivalent. The breadth, depth and relevance of undergraduate and Master’s courses or the equivalent. The quality of the degree project and other independent work. The ability to oral and written communication. Other knowledge and skills of relevance to the research specialisation.

 Type of employment

 Limit of tenure, four years according to HF 5 kap 7§.

Type of employment Temporary position longer than 6 months
First day of employment 2015-09-01
Salary Monthly salary
Number of positions 1
Working hours 100 %
City Lund
County Skåne län
Country Sweden
Reference number PA2015/936
Contact
  • Andreas Jakobsson, +46462224520
Union representative
  • OFR/S:Fackförbundet ST:s kansli, 046-222 93 62, st@st.lu.se
  • SACO:Saco-s-rådet vid Lunds , 046-222 93 64, kansli@saco-s.lu.se
Published 13.May.2015
Last application date 04.Jun.2015 11:59 PM CET

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