Doctoral Student in Spatial Audio Signal Processing Scholarship – Eligibility, Benefits & How to Apply

🌟 About the Scholarship

Opens
Closes30 Jun, 2026

Chalmers University of Technology offers the Doctoral Student in Spatial Audio Signal Processing Scholarship within the Division of Applied Acoustics at the Department of Architecture and Civil Engineering. The PhD position is fully funded from the start at Chalmers University of Technology. Selected doctoral students receive a monthly salary of approximately 34,550 SEK along with full employment benefits in Sweden. In addition, the position includes healthcare coverage, parental leave, pension contributions, and access to Sweden’s public welfare system. The appointment lasts four years and may be extended to five years through teaching duties of up to 20%. Furthermore, students benefit from international collaboration and participation in Horizon Europe research networks.

🎓 Scholarship Snapshot

Here’s everything you need at a glance: the documents to prepare, what the award covers, and key dates so you don’t miss a beat. From transcripts and essays to tuition and living support, this gives you a clear picture of the Doctoral Student in Spatial Audio Signal Processing Scholarship before you apply.

Eligible Countries

Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Benin, Bhutan, Bolivia, Bosnia-Herzegovina, Botswana, Brazil, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Cape Verde, Central African Republic, Chad, Chile, China, Colombia, Comoros, Costa Rica, Côte d’Ivoire, Croatia, Cuba, Cyprus, Czech Republic, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, East Timor, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Greenland, Grenada, Guam, Guatemala, Guinea, Guinea Bissau, Guyana, Haiti, Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kosovo, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Niue, North Korea, North Macedonia, Norway, Oman, Pakistan, Palau, Palestine, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Puerto Rico, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Scotland, Seirra Leone, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Korea, South Sudan, South-Africa, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tokelau, Trinidad-Tobago, Tunisia, Turkey, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Vanuatu, Vatican City, Venezuela, Vietnam, Wales, Yemen, Zambia, Zimbabwe

Study Fields

Acoustics, Electrical Engineering, Signal Processing

GPA / Grade

Languages

C1 Advanced 180, IELTS 6.5, PTE A 62, TOEFL iBT 90

Tests

Study Levels

Doctoral, PhD

Total Scholarships

Transcripts

Yes

Degrees

Yes

Essay

Yes

Passport ID

Recommendation Letters

Result Date

Program Start

September 2026

Tuition Fee

Covered

Living Allowance

Yes

34,550 SEK/month

Travel Allowance

Research Grant

Health Insurance

Yes

Visa Assistance

📞 Contact Information

Call if you want a quick answer, send an email for detailed questions, or follow the university’s social channels to keep an eye on updates and reminders. Use whatever fits your style and timezone.

Scholarship Summary

Award Amount34,550 SEK/month
Deadline30 Jun, 2026
LevelDoctoral, PhD
InstitutionChalmers University of Technology
CountrySweden
ModeOnline
TypeFully funded

Apply Now

Chalmers University of Technology offers the Doctoral Student in Spatial Audio Signal Processing Scholarship within the Division of Applied Acoustics at the Department of Architecture and Civil Engineering. The project is part of the Horizon Europe-funded WeHear initiative, which develops next-generation augmented hearing systems using smart glasses equipped with microphones and cameras. In addition, the research focuses on improving spatial audio perception through advanced signal processing and machine learning techniques.

Background and Purpose

Chalmers University of Technology established this doctoral project to advance assistive and augmented hearing technologies. Therefore, the research aims to develop adaptive audio systems that respond to user needs in real time. Moreover, the project integrates digital signal processing, psychoacoustics, and spatial audio modeling to improve how humans perceive complex sound environments. Through the WeHear initiative, the university contributes to international efforts in wearable audio technologies and human-centered audio engineering.

Doctoral Student in Spatial Audio Signal Processing Scholarship Benefits

The PhD position is fully funded from the start at Chalmers University of Technology. Selected doctoral students receive a monthly salary of approximately 34,550 SEK along with full employment benefits in Sweden. In addition, the position includes healthcare coverage, parental leave, pension contributions, and access to Sweden’s public welfare system. The appointment lasts four years and may be extended to five years through teaching duties of up to 20%. Furthermore, students benefit from international collaboration and participation in Horizon Europe research networks.

Eligibility Criteria

Applicants must hold a strong academic background in electrical engineering, computer science, acoustics, audio engineering, signal processing, or related fields. In addition, candidates should demonstrate experience or interest in digital signal processing, machine learning, or psychoacoustics. Strong analytical, mathematical, and programming skills are highly desirable. However, selection remains competitive and depends on academic excellence, research potential, and alignment with the project objectives.

Doctoral Student in Spatial Audio Signal Processing Scholarship Application Process

Students must apply through the official recruitment system of Chalmers University of Technology. Therefore, applicants should prepare academic transcripts, a CV, and supporting research documents before the deadline. In addition, candidates may be expected to demonstrate technical expertise in signal processing or audio analysis. The university evaluates applications based on merit, research fit, and technical qualifications.

Opportunities for Scholars

Doctoral students gain hands-on experience in spatial audio processing, psychoacoustic evaluation, and machine learning-based sound enhancement. Scholars also conduct user perception studies and contribute to assistive hearing technology development. In addition, they participate in doctoral courses, scientific publications, and international conferences. These experiences prepare graduates for careers in audio engineering, machine learning research, human-computer interaction, and assistive technology development. Overall, the program provides strong financial support, interdisciplinary training, and international research exposure in advanced audio systems.

Frequently Asked Questions (FAQs)

What is this PhD position about?

It is a fully funded doctoral research position focused on developing spatial audio signal processing methods for next-generation augmented hearing and audio reality systems.

What skills are required?

A Master’s degree in electrical engineering, acoustics, mathematics, data science, or related fields, along with experience in digital signal processing, acoustic measurements, and MATLAB or Python.

What experience is preferred?

Preferred skills include machine learning, psychoacoustic experiments, Git version control, and LaTeX scientific writing.