Doctoral Student in Acoustic Array Signal Processing Scholarship – Eligibility, Benefits & How to Apply

🌟 About the Scholarship

Opens
Closes30 Jun, 2026

Chalmers University of Technology offers the Doctoral Student in Acoustic Array Signal Processing within the Department of Architecture and Civil Engineering Scholarship. The PhD position provides full funding from the beginning 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 within the MSc Programme in Sound and Vibration. Furthermore, students benefit from advanced doctoral courses and international research collaboration opportunities.

🎓 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 Acoustic Array 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

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 Acoustic Array Signal Processing within the Department of Architecture and Civil Engineering Scholarship. The position is hosted in the Division of Applied Acoustics, a research environment focused on sound, vibration, audio engineering, and sustainable acoustic technologies. In addition, the project is conducted in collaboration with Reality Labs, a research division of Meta Platforms, Inc. This fully funded PhD opportunity focuses on advancing microphone array technologies and signal-processing methods for audio enhancement in complex acoustic environments.

Background and Purpose

Chalmers University of Technology established this doctoral project to improve next-generation audio capture and sound processing systems. Therefore, the research combines acoustics, digital signal processing, and machine learning to enhance noise suppression and spatial audio performance. Moreover, the project aims to develop robust methods for improving microphone array functionality in challenging real-world environments. Through this collaboration, the university and industry partner seek to advance immersive audio technologies and intelligent sound systems.

Doctoral Student in Acoustic Array Signal Processing Scholarship Benefits

The PhD position provides full funding from the beginning 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 within the MSc Programme in Sound and Vibration. Furthermore, students benefit from advanced doctoral courses and international research collaboration opportunities.

Eligibility Criteria

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

Doctoral Student in Acoustic Array 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 relevant supporting documents before the deadline. In addition, candidates may need to demonstrate technical expertise in signal processing or machine learning applications. The university then evaluates applications and selects candidates based on merit and research suitability.

Opportunities for Scholars

Doctoral students gain hands-on experience in microphone array design, audio signal processing, and machine learning-based sound enhancement. Scholars work on developing and testing advanced acoustic algorithms for real-world applications. In addition, they participate in teaching, doctoral courses, and interdisciplinary research collaborations. These experiences prepare graduates for careers in academia, audio technology, telecommunications, machine learning, and industrial research. Overall, the program offers strong financial support, industry collaboration, and advanced research training in Sweden.

Frequently Asked Questions (FAQs)

What is this PhD position about?

It is a fully funded doctoral research position focused on developing advanced signal processing methods for microphone array systems, including noise suppression and audio enhancement.

What skills are required?

A Master’s degree in electrical engineering, acoustics, mathematics, data science, or a related field, along with experience in audio signal processing, machine learning, and programming (MATLAB or Python).

What experience is preferred?

Remote sensing, satellite imagery, geospatial libraries (GDAL, rasterio, geopandas), spatio-temporal modeling, and exposure to causal inference are strong advantages.