Researcher in mathematical statistics - Hiring in process/Finished, not possible to apply

Work duties
Exceptional applicants are invited to apply for a part-time researcher 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, machine learning, spectral representation of sparse signals, 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 position. To be eligible, candidates must have a Ph.D. in mathematical statistics, or the equivalent, as well as have a strong publication record in sparse signal processing, convex optimisation, and statistical signal processing. Experience of student supervision in mathematical statistics is required. Experience in collaborative cross-disciplinary research is required, as well as experience in sparse modelling of both audio and spectroscopic signals. 

As the position has supervision duties, the applicant must have a high level of fluency in both Swedish and English.

Qualification requirements
Applicants must have:

• A PhD or equivalent research qualification within the subject of the position.
• Very good oral and written proficiency in English.
• Add further requirements for the position, such as other language skills, leadership experience, personal abilities (see competence guide) or other specific experience or knowledge.
  

Assessment criteria and other qualifications

• Ph.D in mathematical statistics, or the equivalent.
• A high level of fluency in both Swedish and English, both oral and written.
• Publication record in sparse signal processing, convex optimisation, and statistical signal processing.
• Publication record in collaborative cross-disciplinary research is required.
• Publication record in sparse modelling of both audio and spectroscopic signals.

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
Fixed-term employment, 5 months (jan-may 2020).

Instructions on how to apply
Applications shall be written in English and be compiled into a PDF-file containing:

• résumé/CV, including a list of publications,
• a general description of past research and future research interests (no more than three pages),
• contact information of at least two references,
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.