Signal processing and Instrumentation development – Postdoc position is anchored in a new research project, SuperTEM, where novel monitoring and semi-airborne transient electromagnetics (TEM) instruments will be developed, in the Department of Electrical and Computer Engineering, Aarhus University, Denmark
Deadline to Apply
Apr 26, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||Signal processing, Instrumentation development|
Electrical engineering, Physics, Geophysics
|Salary||According to standard norms|
|Workplace||Department of Electrical and Computer Engineering, Aarhus University, Denmark|
|Contract Period||3 Years|
- PhD degree in electrical engineering, physics, geophysics or similar
- Experience with signal processing and machine learning
- Experience with instrumentation development
- Programming experience
- Strong analytical skills
- Experience with transient electromagnetics or other geophysical methods is an advantage, but not required
- Excellent English skills both oral and in writing
Groundwater is an integral part of satisfying global water needs, often representing a water source at lower contamination risk than surface water. Yet, proactive management practices must be implemented to ensure long-term sustainable use of groundwater resources, as overexploitation can deplete groundwater reserves – effectively supplying a short-term fix to problems requiring long-term solutions.
A key component of informed data-driven management practices is high-resolution characterization of hydrogeological systems, which can be obtained with the use of non-invasive geophysical techniques. Transient electromagnetics (TEM) is particularly adept at rapid cost-efficient mapping of geological systems. TEM systems can be man-deployed or towed by an ATV or aircraft, each system with their respective advantages and disadvantages. However, standard TEM mapping practices are generally focused on spatial characterization – producing snap-shots of hydrological systems at an instant in time. This information is extremely valuable when populating groundwater models or characterizing groundwater systems but can often leave uncertainties as to the behavior of groundwater systems over time.
One part of this postdoctoral project will be the development of monitoring TEM instruments capable of tracking changes in groundwater levels. The monitoring instruments are designed for long-term deployment with autonomous operation and data-streaming to remote servers. The candidate will be responsible for development, validation and implementation of signal processing and machine learning algorithms related to the operation of these monitoring instruments. The candidate will participate in programming of instrument control and communication software, and will participate in instrument development, testing and field validation.
The second part of this project concerns the development of a semi-airborne TEM system coupling groundbased transmitters with a roving drone-carried receiver. The candidate will investigate the electromagnetic and vibrational noise induced in TEM data by the drone, and will develop, validate and implement signal-processing workflows to mitigate such noise. The candidate will be involved in programming of instrument control software as well as testing and field validation.
Responsibilities/ Job Description
The postdoc will work closely with the other members of the research group and the external partners in the project. He/she is therefore expected to have strong communication and collaboration skills. The research is expected to lead to several journal papers and the qualified candidate will be able to document dissemination skills through a strong publication track record. The qualified candidate will have the opportunity to contribute to other on-going research projects in the group as well as opportunities to contribute to supervision of Masters and PhD students.
How to Apply?
To apply, please open the link “Apply online”, fill out the online application form
The application must be in English and include
- Curriculum vitae
- Degree certificate
- 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.
About Department of Electrical and Computer Engineering
About the Department of Electrical and Computer Engineering. 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 Department of Electrical and Computer Engineering Section 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.DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions. DTU Health Tech creates the foundation for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 175 persons, 130 PhD students and a technical/administrative support staff of about 80 persons.
- 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.
Associate Professor Jakob Juul Larsen
Department of Electrical and Computer Engineering – Signal Processing and Machine learning
Phone +45 41 89 32 73
Post expires at 8:59am on Tuesday April 27th, 2021 (GMT+9)