Lund University, Faculty of Engineering, LTH, Matematikcentrum, LTH

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Description of the workplace and the project
The position is placed at Centre for Mathematical Sciences, Mathematical Statistics. You will be a part of the Mathematical Statistics environment and work closely together with the group in Statistical Signal Processing. Further, you will work together with researchers at Engineering Geology.

The subject of the researcher is to develop data-driven spectral methods for interpretation of seismic data recorded using Distributed Acoustic Sensing and seismometers. Seismic data are usually multi-channel measurements of oscillatory non-stationary character, where robust time-frequency tools are needed. Objectives in this project includes identifying and classifying the structures within the seismic data that carry valuable information, estimating important parameters, including time and frequency location, the echo shape and phase information, and develop methods to deal with low signal-to-noise ratios.

We offer 
Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. Read more on the University website about being a Lund University employee Work at Lund University 

Work duties 
The primary work duties are to:

  • Conduct the research within the subject area, including being responsible for the statistical and spectral modelling for optimal analysis of the seismic recordings.
  • Perform administration of the project and corresponding tasks.
  • Implementing algorithms for developed methods, performing statistical analysis, design and run simulations.

Qualifications  
Required qualifications for the position are:

  •  A Ph.D. in Mathematical Statistics or related discipline.
  • Very good oral and written proficiency in English.
  • Ability to independently develop robust spectral models for multi-dimensional and non-stationary processes and signals.
  • Documented experience of researching non-parametric and semi-parametric time-frequency methods that identify and describe oscillating structures in noisy, non-stationary signals.
  • Knowledge of robust and state-of-the-art phase estimation techniques for non-stationary processes and signals.

Additional qualifications for the position are:

  • Ability to work independently, collaborative skills, and drive.
  • Experience with spectral analysis models for multi-dimensional signals.
  • Experience working with echo recordings with the purpose of mapping surroundings or tissue, such as seismic vibrations, sonar, and/or ultrasound.

Consideration will also be given to 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. 

Further information 
The position is fixed term position for 7 months at 100 per cent of full time and starting as soon as possible.

How to apply 
Applications are to be submitted via the University’s recruitment system. The application should include a CV and a personal letter justifying your interest in the position and how it matches your qualifications. The application should also include a degree certificate or equivalent and any other document to which you would like to draw attention (copies of grade transcripts, details of referees, letters of recommendation, etc.)”  

Welcome with your application! 

Type of employment Temporary position
Contract type Full time
First day of employment As soon as possible
Salary Monthly
Number of positions 1
Full-time equivalent 100%
City Lund
County Skåne län
Country Sweden
Reference number PA2022/2678
Contact
  • Maria Sandsten, +46462224953
Published 17.Aug.2022
Last application date 30.Aug.2022 11:59 PM CEST

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