At the Technical Faculty of IT and Design, Department of Electronic Systems, a PhD stipend in  Acoustic Signal Processing and Deep Learning for Hearing Assistive Devices  is available within the general study programme Electrical and Electronic Engineering. The stipend is open for appointment from June 1, 2023, or soon as possible thereafter.

In electronics engineering, Aalborg University is known worldwide for its high academic quality and the societal relevance of its research programmes. The Department of Electronic Systems consists of more than 200 employees, of which about 40 % are international and about 90 are enrolled PhD students.
The Department hosts 620 students. The Department's excellent research infrastructures and facilities accentuate its global position in teaching and research.

The Department's research centres around communication, antennas, control systems, AI, sound, cyber security and robotics. The Department plays an active role in translating discoveries and results into practical applications with industrial partners and IPR. The Department provides teaching for several BSc and MSc programmes using a problem- and project-based learning model.

Job description

A fully funded PhD stipend is available in the Centre for Acoustic Signal Processing Research (CASPR). CASPR is anchored in the Section for Artificial Intelligence and Sound (AIS), Department of Electronic Systems, Aalborg University, Denmark.

CASPR performs research and education in advanced signal processing for hearing assistive devices including hearing aids, headphones, and headsets. http://caspr.es.aau.dk

Our goal in the PhD project is to explore and design algorithms which process noisy speech in order to increase speech intelligibility, sound quality, and listening comfort in a hearing assistive device context. More specifically, we envisage a project which in the first stages relies on “classical” statistical signal (speech) processing techniques, and in later stages explores deep learning techniques, potentially generative models and novel learning paradigms including self-supervised learning. In contrast to much existing work, specific focus will be directed towards algorithms which – rather than simply suppressing the background noise – modifies the target speech signal in order to make it easier intelligible.

We are looking for highly motivated and independent students that desire to do a successful 3-year PhD programme at Aalborg University. The ideal candidate will have a M.Sc. degree in statistical signal processing or machine learning with a focus on sound/speech processing and knowledge about auditory perception. Good English verbal and written skills are a must, and excellent undergraduate and graduate grades in relevant topics are desired.

The PhD researcher may be based in Aalborg or Copenhagen.

You may obtain further information from  Prof. Jesper Jensen, Department of Electronic Systems, email: jje@es.aau.dk , concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinnhoff , The Doctoral School at The Technical Faculty of IT and Design, email: ld@adm.aau.dk , phone: +45 9940 9589.

For more information of The Technical Doctoral School of IT and Design: www.phd.tech.aau.dk

The application is only to be submitted online by using the “Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Agreement

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Vacancy number

8-23017

Deadline: 2023-08-05 at 23:59
Unit: Department of Electronic Systems

Read the job description at the university homepage or apply.

Post expires on Saturday August 5th, 2023

REANNOUNCEMENT
At the Faculty of Medicine, Department of Health Science and Technology one or more PhD stipends are available within the doctoral programme Biomedical Engineering and Neuroscience. The stipends are open for appointment from 1 February 2023 or soon hereafter.

Job description

Department of Health Science and Technology carries out multidisciplinary research, teaching and dissemination within biomedical engineering, sports science and medicine. The department has more than 250 employees and is responsible for more than 1700 students. More than 100 PhD students are enrolled in the doctoral school affiliated to the department. The researchers are organized in a number of research groups and centres, and the department has at its disposal laboratory and clean room facilities for cell growth, molecular biology, brain analysis, 3D movement analysis, respiratory and circulatory examinations, sensory and motor functions analysis, etc. All study programs at Aalborg University involve problem-based learning, organized around cases and projects. For more, see: www.hst.aau.dk. 

As The Faculty of Medicine wishes PhD positions to enable careers both within and outside the university, the vacant positions are created in such a way that the competences achieved in the position will qualify for both a research career and a career in the commercial and/or public sector. At least a year before the position expires, you will be offered an interview to clarify your future career. 

Accurate, intuitive, and dexterous control of assistive devices such as upper-limb prostheses based on measurements of muscle activity remains a challenge. Most scientific studies addressing this problem focuses on the development of machine learning techniques to identify movement intention from electromyographic signals (EMG) while the prosthesis user imitates natural movements with the missing limb. This project hypothesizes that the natural strategies by which humans activate synergistic muscles to generate movement implies that the EMG signals recorded during imitated natural movements will always be highly variable and non-stationary, thereby imposing an upper-limit for the accuracy by which movement intention can be identified. Instead, this project aims to explore so-called abstract control, where prosthesis users will learn to generate new muscle activation patterns, that are not associated to meaningful movements, but enable consistent and robust EMG signals. This training will be driven by biofeedback giving the user an intuitive awareness of muscle activation levels. The project will explore and evaluate different feedback modalities, including visual, tactile, and auditory feedback to investigate the degree to which the human nervous system can learn new activation patterns, that enable robust and simultaneous control of prostheses in multiple degrees of freedom. 

Prospective applicants for this PhD proposal should have the following qualifications: 
• M.Sc. degree in biomedical engineering, electrical engineering, computer science, or similar. 
• Experience in programming, at least in Matlab, while the knowledge of C++ and/or Python is an advantage
• The knowledge of neural control of movement, human-machine interfacing and the design of experiments is an advantage.
• A creative mindset and curiosity to research and develop new solutions in an international environment with highly skilled colleagues. 
• Good communication and organizational skills.

The application must at least contain the following documents in PDF format:
• Motivated application including the applicant’s personal reflections on the research field of prosthetic control and aim of the PhD project outlined above. 
• CV including education, work experience, language skills and additional scientific qualifications.
• Documentation for obtaining the Master’s degree or indicating when the Master’s degree will be obtained.

You may obtain further information from Associate Professor, Jakob Dideriksen, e-mail: jldi@hst.aau.dk concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School in Medicine, Biomedical Science and Technology in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Ruth Klitte, The Doctoral School at The Faculty of Medicine, email: rk@adm.aau.dk

For more information of the The Doctoral School in Medicine, Biomedical Science and Technology: http://www.medicine.aau.dk/doctoral-school/

The application is only to be submitted online by using the “Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Agreement

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 28 June 2019 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Vacancy number

21-22087G

Deadline: 2023-08-01 at 23:59
Unit: Department of Health Science and Technology

Read the job description at the university homepage or apply.

Post expires on Tuesday August 1st, 2023

At the Faculty of Engineering and Science, Department of the Built Environment a PhD stipend is available within the doctoral programme Civil Engineering. The stipend is open for appointment from 1 January 2023 or soon hereafter.

Job description

The PhD position will be part of the Indoor Environmental Quality and Building Systems Group. The Research areas for this PhD position will focus on developing district heating and cooling technology in connection with aquifer thermal energy storage (ATES). The research will be based on a combination of computational models and data retrieved from ATES sites. The candidate will be part of an international research project: GOES.

QUALIFICATIONS:

• Master’s degree within HVAC systems for buildings, mechanical engineering, energy engineering or related fields.
• Good mathematical knowledge and numerical modelling skills.
• Experience with measurements and data analysis.
• Good knowledge of computational tools (e.g. MATLAB, MATLAB/Simulink, EES) and/or programming languages (e.g. Python). Experience with Modelica would be an advantage.
• Practical experiences within district heating, HVAC systems, and energy use in buildings is an advantage.
• Excellent communication skills with both technical and administrative staff.
• Excellent knowledge of written and spoken English.

You may obtain further professional information from Professor Alireza Afshari, aaf@build.aau.dk, concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Bettina Wedde, The Doctoral School at The Faculty of Engineering and Science, email: bew@adm.aau.dk,  phone: +45 9940 0009.

For more information of The Doctoral School of Engineering and Science: www.phd.engineering.aau.dk

The application is only to be submitted online by using the “Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Agreement

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 28 June 2019 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Vacancy number

6-22088

Deadline: 1970-01-01 at 23:59
Unit: Department of the Built Environment

Read the job description at the university homepage or apply.