Postdocs in signal processing and machine learning
of geophysical data - 1012275

Two postdoc positions are available from February 1, 2019, at Aarhus University, Faculty of Science and Technology, Department of Engineering within the fields of signal processing and machine learning applied to geophysical data.

Project description for position A

Injection remediation is an efficient method for on-site treatment of many forms of contamination. The method has many benefits, e.g. it can be applied without removing infrastructure, but the method has one shortcoming, as it is not yet possible to directly image the distribution of the injected remediation in the sub-surface and hence it is very difficult to ensure that the remediation completely covers the contamination. In the new project GIRem, together with industrial and academic partners, we aim to develop imaging techniques based on cross-borehole direct current induced polarization (DCIP). Within this project, the Department of Engineering will be conducting research on advanced strategies for noise reduction of induced polarization data and we are hiring one talented researcher in a postdoc position for this. The postdoc will work closely with both industrial and academic partners, and is therefore expected to have strong communication and collaboration skills.

The tasks undertaken by the postdoctoral fellow include the following:

  • Acquisition of data sets at selected sites
  • Development of signal processing algorithms for noise reduction of DCIP data
  • Development of machine learning based methods identifying noise in DCIP data
  • Development of machine learning based methods for identification of non-standard IP decays caused by volume effects
  • Implementation of selected algorithms and data processing in end-user software
  • Communication of research results

The qualified candidate will have the opportunity to participate in teaching and curriculum development relation to the main research topic. The postdoctoral fellowship for position A is funded by Innovation Fund Denmark and Aarhus University. There is funding for 3 years of employment. In case further external funding is procured within the academic area the candidate is estimated obviously qualified for, an extension can be possible for up to a total maximum of 4 years of employment as a postdoc.

Project description for position B

Fertilization of fields is an integral part of modern agriculture. However, if too much fertilizer is applied to a given field, the surplus will be lost as nitrate pollution to ground- and surface water. The goal of the new project MapField is to develop hydrogeophysical and geochemical tools that can map the sub-surface with high resolution and predict the nitrate vulnerability. Based on the results, a much more precise and sustainable use of fertilization will be possible. Within the MapField project, the Department of Engineering will be conducting research on advanced strategies for noise reduction of ground-based TEM and magnetometer data and we are hiring one talented researcher in a postdoc position for this. The postdoc will work closely with both industrial and academic partners, and is therefore expected to have strong communication and collaboration skills.

The tasks undertaken by the postdoctoral fellow include the following:

  • Acquisition of data sets at selected sites
  • Development of signal processing algorithms for noise reduction of TEM data
  • Development of machine learning based methods identifying couplings in TEM data
  • Development of machine learning based methods for feature extraction in magnetometer data
  • Implementation of selected algorithms and data processing in end-user software
  • Communication of research results

The postdoctoral fellowship for position B is funded by Innovation Fund Denmark and Aarhus University. There is funding for 2 years of employment. In case further external funding is procured within the academic area the candidate is estimated obviously qualified for, an extension can be possible for up to a total maximum of 4 years of employment as a postdoc.

Required qualifications for both positions:

  • PhD degree in electronic engineering, physics, geophysics or similar
  • Programming experience
  • Strong analytical skills
  • Experience with signal processing and machine learning methods
  • For position A, experience with induced polarization methods in geophysics is an advantage, but not required
  • For position B, experience with the TEM method and processing of TEM data is an advantage, but not required
  • Excellent English skills both oral and in writing

The qualified candidates will have the opportunity to participate in teaching and curriculum development relation to the main research topics.

Please indicate in your application whether you are interested in position A, B or both.

The positions re available from February 1, 2019 or as soon as possible hereafter.

About the Electrical and Computer Engineering Section

Electrical and computer engineering are closely related engineering disciplines that focus on the development of hardware and software for intelligent units and networks. This includes hardware at system and component levels as well as many different types of software for controlling electronic devices and networks. The research areas within the Electrical and Computer Engineering Section at Department of Engineering support the development within this area. The outcome greatly influences our daily lives as advanced technologies are incorporated into an increasing number of products, for example in industrial processes, at hospitals and in information infrastructures.

The place of work is Finlandsgade 22, 8200 Aarhus N, Denmark and the area of employment is Aarhus University with related departments.

Applicants seeking further information are invited to contact Associate Professor Jakob Juul Larsen, Department of Engineering, jjl@eng.au.dk , phone +45 4189 3273.

Application procedure

Shortlisting is used. This means that after the deadline for applications and with the assistance from the assessment committee chairman, and the appointment committee if necessary, the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants, including the main considerations emphasized during the selection process.

Formalities and salary range

Science and Technology refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.

The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.

Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities. Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.

All interested candidates are encouraged to apply, regardless of their personal background. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.

Aarhus University offers Relocation service to International researchers. You can read more about it here.

Deadline

All applications must be made online and received by: 21.12.2018

Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 39,000 students and 8,000 employees, and has an annual budget of EUR 884 million Learn more at www.au.dk/en.

posted: 08 November 2018     Please mention EARTHWORKS when responding to this advertisement.