Do you want to contribute to our purpose of Bringing People Closer and help creating the future of communication?

Here is an opportunity to do research in a topic that affects billions of people, and explore new ways technology can support human communication.

We are looking for skilled candidates committed to research, innovation, science, and math who want to climb the academic ladder and do a PhD together with two prominent organizations supported by the Innovation Fund Denmark.

The goal of the PhD is to capture high quality speech signals in noisy and adverse environments using speech enhancement methods combining adaptive voice models with machine learning techniques. You will find yourself in the intersection between emerging research domains and innovations where real-life constraints such as complexity, cost, and speed apply.

On this journey, you will have supervisors from both GN and Aalborg University and be able to leverage the knowledge, platforms, and lab facilities from both organizations. A setup, providing solid academic and corporate foundation with freedom to explore.

The primary location is GN with extended stays at Aalborg University where you will be enrolled. At GN you will be part of the research team – GN Advanced Science – a diverse, local, and global team with a variety of experts on topics related to signals, audio, and sound. We have an open, engaging, inclusive, hybrid way of working and a flexible workday.

What your colleagues say about working at GN:

“Over my years of working in academia and industry both, what I love the most about working at GN Advanced Science, is the unique opportunity to explore the field and research as a scientist but also develop and implement the ideas into the final products being used by millions of users in their daily speech communication experience.”, Lead Research Scientist, Pejman Mowlaee

“As a researcher in GN Advanced Science, I love the opportunity to explore the field and address the challenges from the real world. I am passionate about designing innovative solutions with the aim of contributing to the final products. It is incredibly rewarding to see how the products with my contributions bring actual benefits to our users in their daily lives.”, Senior Research Scientist, Ziyue Zhao

We imagine that you:

• Have an extensive background in digital signal processing or machine learning and interest in both.
• Have substantial experience with Python and understand scientific computing.
• Have knowledge of recent CNNs, MLPs, RNNs, GANs and transformers.
• Have considerable experience with a deep learning framework like TensorFlow or PyTorch.
• Possess a relevant master's degree and a keen enthusiasm for earning a PhD
• Are curious about the cross-field between classic signal processing and new ML methods.
• Are adept at managing tasks on your own.
• Are able to communicate in English and collaborate across

We encourage you to apply

Even if you don’t match all the above-mentioned skills, we welcome your application if you think you have transferrable skills. We highly value a mindset and motivation that align with our core values, to not only ensure growth for you, but for your team and the wider GN organization as well.

We are focused on an inclusive recruitment process

All applicants will receive equal consideration for employment. As such, we encourage you to submit your CV without a photo to ensure an equal and fair application process.

Should you have any special requirements for the interview, please let the Hiring Manager know upon accepting invitation to interview.

How to apply?

Apply via GN Careers or LinkedIn.

Use the ‘APPLY’ link no later than October 6th, 2025. Applications are assessed on a continuous basis, so don’t wait to send yours.

The application must contain a cover letter, CV, and relevant diplomas.

If you would like to know more about the position, please contact Lead Research Scientist, Pejman Mowlaee (+45 5336 4372, pmowlaee@gn.com), Senior Research Scientist, Ziyue Zhao (+31 20 262 6959, zzhao@gn.com) or Associate Professor, Jesper Rindom Jensen (+45 9940 7450, jrj@es.aau.dk).

Join us in bringing people closer

GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhance the senses of hearing and sight. We enable people with hearing loss overcome real-life problems, improve communication and collaboration for businesses and provide great experiences for audio and gaming enthusiasts.

We hope you will join us on this journey and look forward to receiving your application. 

Applications are invited for a postdoctoral research scientist position in the Spoken Language Processing group at the Institute of Phonetics and Speech Processing, LMU Munich (https://www.phonetik.uni-muenchen.de/). The role of the postdoctoral researcher is to conduct research on the application of speech technology to deepening our understanding of the principle underpinning human speech and language processing.

The candidate should hold a PhD in computer science, computational linguistics, or a related field. The degree must be completed prior to the starting date. Demonstrated experience with speech technology applications is essential, including but not limited to any of:  training and fine-tuning of self-supervised speech models; analysis of self-supervised speech representations; text-to-speech synthesis and voice cloning; and acoustic or articulatory signal processing. 

Evidence of good programming skills, as well as background in statistics, mathematics, and/or machine learning, is essential. However, the successful candidate will have a strong interest a scientific approach to the study of speech and language, not simply engineering applications. Good spoken and written command of English is required. Salary is determined according to the German pay scale for state employees (Tarifvertrag der Länder TV-L West), group E13. The specific level within E13 depends on prior experience. Positions are for 2 or 3 years with possibility of extension.

To apply, please send your application including the documents below to Prof. Dr. James Kirby (jkirby@phonetik.uni-munchen.de). All supporting documents for the application should be emailed electronically as pdf files. Application should include:

• Curriculum Vitae (CV), including a full list of publications
• A cover letter describing your research profile and your interest in joining the IPS
• Two representative samples of research work (in English or German)
• Name and contact address for two references

Applications will be reviewed as received. The position is open until filled. LMU is an equal opportunity employer and is committed to increasing the diversity of its staff. Part-time employment is possible. We strongly encourage applications from qualified women. Disabled applicants will be preferred if essentially equally qualified. 

For question or further information please contact Prof. Dr. James Kirby (jkirby@phonetik.uni-munchen.de).

The Signal Processing and Speech Communication Laboratory (www.spsc.tugraz.at) of Graz University of Technology (TU Graz, Austria) invites applications for a

Research and Teaching Associate
– PhD Position –
in Signal Processing and Speech Communication

with appointments planned for November 2025.

The associate is expected to perform excellent research towards a PhD degree (in cooperation with international partners) under the guidance of professors Gernot Kubin and Barbara Schuppler. Furthermore, the associate will co-advise Bachelor’s and Master’s student projects and develop and teach laboratory and problem classes on various aspects of signal processing. Fluency in English is a must, knowledge of German is an asset. A strong background in signal processing and/or speech communication (e.g., Speech LLMs) as well as an excellent Master’s degree in Electrical Engineering, Information Engineering, or similar are required. Entry-level gross yearly salaries are about EUR 52,000 for 40 hours per week and initial contract durations may span up to 4 years.

The Signal Processing and Speech Communication Laboratory was the main organizer of INTERSPEECH 2019 in Graz (interspeech2019.org) and takes the lead in building a Graduate School of Speech Language and AI Technologies together with eight partners of the Unite! University Alliance (speechlanguageai.unite-university.eu/). TU Graz is the longest-established University of Technology in Austria where equal opportunity takes center stage.

Graz (www.tugraz.at/go/welcome-center) is the second largest city of Austria located in the south-eastern province of Styria and enjoys a vibrant student life with eight universities.

Applications are due by Sept 12, 2025, please consult our official job posting at www.euraxess.at/jobs/366642 and follow the instructions there to upload you application to the TU Graz job portal. Interviews with selected candidates are planned for Sep 29-30, 2025.
For further information, please contact the two advisors Gernot Kubin at gernot.kubin@tugraz.at  and Barbara Schuppler at b.schuppler@tugraz.at.

The Audio Security and Privacy Group at EURECOM, France has openings for 3 PhD candidates in speech deepfake detection and automatic speaker verification (ASV). If you have a Master's degree, an excellent academic track record, strong proficiency in English, also have expertise in computer science, machine learning, artificial intelligence, data science, speech processing, deepfake/spoofing detection, text-to-speech synthesis or voice conversion, and are keen on international collaboration, please consider applying.

Topics include, but are not limited to:

• Integrated solutions to spoofing robust ASV 
• Trojan back-door attacks against ASV systems
• Watermarking of synthetic speech and converted voice
• Source tracing for spoofing/deepfake attacks
• Adversarial attacks
• Audio-visual deepfake detection

For these particular PhD positions, applications may undergo administration security checks in compliance with French law and regulations. Restrictions on certain nationalities may apply.

In the first instance, please send your CV by email to Nicholas Evans (evans@eurecom.fr) with the subject line 'PhD opportunities'.

Learn about EURECOM by visiting our website https://www.eurecom.fr and about other job opportunities at https://www.eurecom.fr/en/eurecom/job-opportunities/job-opportunities.

Large language models(LLMs) have demonstrated increasingly powerful capabilities for reasoning tasks, especially in text. The project aims to explore and advance these capabilities in reasoning across multiple data modalities, including but not limited to text, speech and audio. The integration of multiple modalities can lead to more robust and general systems capable of understading and reasoning about the world in a more human-like manner. The project will involve fine-tuning pre-trained models and developing self-supervised learning techniques to adapt LLMs for multimodal tasks.

Application deadline: 16 March 2025. 

Apply here. 

Faculty of Information Technology and Communication (ITC) at Tampere University, together with ELLIS Institute Finland, is looking for candidates to several positions in the Artificial Intelligence research and other fields applying AI:

 

Assistant/Associate/Full Professor

• in Computing Science (Fundamental AI) (https://www.ellisinstitute.fi/ellis-institute-finland/pi-positions#11-tampere-university--assistant-associate-full-professor-in-computing-science--fundamental-ai-)
• in Computing Science (Applied AI) (https://www.ellisinstitute.fi/ellis-institute-finland/pi-positions#10-tampere-university--assistant-associate-full-professor-in-computing-science--applied-ai-)
• in Artificial Intelligence for Communications and Networking (https://www.ellisinstitute.fi/ellis-institute-finland/pi-positions#7-tampere-university--assistant-associate-full-professor-in-artificial-intelligence-for-communications-and-networking)
• in AI in Media (https://www.ellisinstitute.fi/ellis-institute-finland/pi-positions#9-tampere-university--assistant-associate-full-professor-in-ai-in-media)

 

These PI positions are joint offered by Tampere University (https://www.tuni.fi/en/about-us/tampere-university) and ELLIS Institute Finland, which is a newly established world-class research hub in AI and Machine Learning. The call will close on 9 March 2025.

 

For more information about the requirements and how to apply at ELLIS institute web page https://www.ellisinstitute.fi/PI-recruit. The positions and their requirements are also described below.

 

1) Assistant/Associate/Full Professor in Computing Science (Fundamental AI) 

 

The Faculty of Information Technology and Communication Sciences at Tampere University invites applications for positions at all Professor levels in the field of theoretical Machine Learning. We are looking for outstanding machine learning scientists with a strong research track record in fields such as theoretical foundations of Machine Learning, computational learning theory, model training and optimization, efficient, interpretable, trustworthy and scalable Machine Learning, and foundation models in Machine Learning (uni- and multi-model FMs, diffusion and generative models).

 

2) Assistant/Associate/Full Professor in Computing Science (Applied AI)

 

The Faculty of Information Technology and Communication Sciences at Tampere University invites applications for positions at all Professor levels in the across the field of Computer Sciences. We are looking for outstanding computing science scientists with a strong research track record in, for example, Computer Engineering, Human–Computer Interaction, Network and Information Security, Signal Processing, or Software Engineering, including human-centered AI foci such as AI ethics.

 

3) Assistant/Associate/Full Professor in Artificial Intelligence for Communications and Networking

 

The Faculty of Information Technology and Communication Sciences at Tampere University invites applications for positions at all Professor levels in the field of Electrical Engineering, especially in Communications and Networking. We are looking for outstanding scientists with a strong research track record in, for example, AI native 6G networks, semantic communications and machine learning, or Artificial Intelligence / Machine Learning for physical layer technology, radio resource management and mobility management, or wireless sensing and positioning.

 

4) Assistant/Associate/Full Professor in AI in Media

 

The Faculty of Information Technology and Communication Sciences at Tampere University invites applications for positions at all Professor levels in Artificial Intelligence in media. The position will be situated either in Computing Sciences Unit, Communications Sciences Unit, or Languages Unit. We are looking for outstanding scientists with a strong research track record in AI, for example, in Multimedia (e.g. audio, video), Multimodality, , Journalism, Linguistics, Performing Arts, Extended Reality, Gamification, or Games.

 

Requirements and Process

 
Applications are welcomed to all tenure track levels (Assistant Professor, Associate Professor and Professor). You should have a doctoral degree in an applicable field and have experience in research in academia in the respective field or fields. You regularly publish at top tier venues in AI-driven fields. Further requirements for each tenure track level are as follows:

 

Assistant Professor

• applicable doctoral degree, 
• ability to undertake independent scholarly activity and potential to pursue scholarly activity at a high international level of excellence, 
• teaching skills required to successfully perform the duties and functions of the position. 

Professor

• applicable doctoral degree 
• high-level international scholarly expertise 
• experience of leading scientific research 
• ability to provide high-quality research-based education and instruction 
• track record of winning external research funding 
• track record of international scholarly activity 

 

Initial appointment for assistant professor and for associate professor is for five years. Subject to successful performance, you will become a tenured member of the faculty staff at the end of the first five-year period. Full professors will hold a permanent appointment from the outset. A trial period of six months applies to all our new employees. Candidates may be invited for a video interview during the first stage of the recruitment process. The most qualified candidates will be invited to Tampere University for an interview and may undergo an aptitude assessment. They will also undergo a review by external experts and may be required to give a demonstration of their teaching skills.

 

Further Information

Further information on the position and the working environment may be obtained from Professor, Vice-Dean for Research Juho Hamari (research.itc@tuni.fi), and about the tenure track career path from HR Specialist Safija Chabbi (safija.chabbi@tuni.fi).

 

About ITC Faculty: https://www.tuni.fi/en/about-us/faculty-information-technology-and-communication-sciences

About Tampere University Tenure Track career path: https://www.tuni.fi/en/about-us/working-at-tampere-universities/tampere-university-as-an-employer/tenure-track-career-path

Apply here: https://www.ellisinstitute.fi/PI-recruit

“Privacy for Smart Speech Technology” (PSST) is a joint doctoral training programme and Horizon Europe Marie Skłodowska-Curie Action, the European Union’s flagship funding programme for doctoral training. We are a consortium of 7 European universities and 11 industrial partners searching for 12 PhD students to work on the protection and evaluation of privacy for smart speech technology. PSST is a unique opportunity, as it is the largest international project focusing on privacy in speech technology and because the importance of privacy has only recently gained wider appreciation.

This is no ordinary PhD programme.

The structured PSST doctoral training programme combines training in cutting-edge research, transferable skills and career-enhancing skills with exposure to multiple sectors and disciplines.

Join us and put your expertise in deep learning / machine learning, speech processing, information privacy and security, and user studies into practice and gain your PhD degree from TWO leading European Universities (listed below)!

See more information and PhD topics at https://psst-doctoralnetwork.eu/

We are looking for 12 PhD candidates who hold a master's degree. We value diversity and plan to hire 12 fellows with a balanced background and skillset, and an excellent academic track record. We especially encourage applications from members of under-represented groups.

Call opens 10.12.2024

Application deadline 26.1.2025

Shortlisted candidates informed 28.2.2025

Recruitment event in Finland for shortlisted candidates 17.-18.3.2025

Notification of acceptance May 2025

Planned start of employment August 2025

PSST follows a double-degree model whereby, during their 45-month employment, each PhD student will work in collaboration with two universities towards PhD degrees from both institutions! Each PhD student will also spend 6 months on secondment to one of our Associate Partners, all leading European SMEs, large industrials or regulatory bodies active in speech privacy: CNIL (France), ELDA (France), ki:elements (Germany), Loihde (Finland), Naver (France), Omilia (Greece), Orange (France), Vocapia (France), VoiceInteraction (Portugal), Voice INTER connect (Germany), and VoiceMod (Spain).

Applications should include:

• Curriculum Vitae (including countries of residence in the past 36 months).
  
• Academic transcripts for completed courses and degrees.
  
• Motivation letter explaining why you want to pursue a PhD degree and why you believe you are an outstanding candidate to pursue your PhD researching PSST topics.
• Reference letter from Master’s thesis supervisor/advisor or similar.
  
• (Optional) Preferences for 1-3 research topics (see webpage) and universities.
  

Requirements

• A master's degree in electrical engineering, computer science or related area (degree must be completed before employment can start).
• Mobility: The fellow must not have resided or carried out their main activity (work, studies, etc.) in the country of the first recruiting organisation for more than 12 months in the 36 months immediately before their recruitment date.
• Fluent written and verbal communication skills in English are required, knowledge of the local language is an advantage.
• Candidates cannot hold a doctoral degree.

Desirable skills

• Knowledge and skills in deep learning, programming, speech processing, user studies, privacy.
• Ability to work independently and a critical mindset.
  
• Pro-activeness and eagerness to participate in network-wide training events, international mobility, and public dissemination activities.

Submit your application at

https://www.aalto.fi/en/open-positions/doctoral-researchers-12-positions-privacyfor-

smart-speech-technology-psst

PhD students receive a regular salary and social benefits according to national regulations, and if applicable, also family leave, long-term leave, and special needs allowances.

The gross salaries we offer, including both a living allowance and a mobility allowance, are

• Aalto University (Espoo, Finland) 3500 €/month
  
• EURECOM (Sophia Antipolis, France) 3261 €/month1
  
• INESC-ID (Lisbon, Portugal) 2680 €/month2
  
• INRIA (Nancy or Saclay, France) 3261 €/month 1
  
• Ruhr University Bochum (Germany) Salary group TV-L E13 3
  
• Radboud University Nijmegen (Netherlands) Salary scale P 4
  
• Technical University of Berlin (Germany) Salary group TV-L E13 3
  

1 https://www.horizon-europe.gouv.fr/sites/default/files/2022-02/horizon-europe---dn-pf---french-salary-explained-5762.pdf

2 includes: base salary + food allowance + holiday allowance

3 https://oeffentlicher-dienst.info/c/t/rechner/tv-l/allg?id=tv-l-2024&g=E_13&s=1

4 https://www.ru.nl/sites/default/files/2024-09/Overview%20salary%20scales%201%20sept%202024.pdf

For queries, contact info@psst-doctoralnetwork.eu.

*** Tenure-Track and Research Faculty Positions at the Toyota Technological Institute at Chicago ***


* The Toyota Technological Institute at Chicago (TTIC) invites applications for the following faculty positions in computer science:

  - Tenure-track Assistant Professor
  - Tenured Associate Professor or full Professor
  - Research Assistant Professor (non-tenure track, endowed position for up to 3 years; see https://ttic.edu/research-assistant-professor/ )
  - Visiting Professor


* While we welcome applications from many areas of computer science, we will give preference to candidates working in machine learning, computer vision, natural language processing and speech, robotics, computational biology, and algorithms and complexity theory.


* About TTIC

TTIC (www.ttic.edu) is an independent, philanthropically endowed academic institute dedicated to fundamental research and graduate education in computer science. All TTIC faculty positions are supported by the endowment.  TTIC has an accredited PhD program in computer science.

TTIC produces cutting-edge research and offers world-class graduate education. Our faculty (https://www.ttic.edu/faculty/) are recognized with distinctions such as the Sloan Research Fellowships, NSF CAREER Awards, Best Paper Awards, and the NAS Michael and Sheila Held Prize. TTIC research faculty alumni have an excellent employment track record (https://www.ttic.edu/faculty-alumni/).  

TTIC faculty members enjoy a uniquely light teaching load, which helps them focus on their research. TTIC has only PhD students, so all courses and activities are focused on advanced learning and research.  

TTIC’s students have been recognized with fellowships (such as NSF, Google, and Microsoft), and have an excellent career track record, including post-docs and faculty positions at top universities and research positions at major industry labs (https://www.ttic.edu/student-alumni/).
 
Located on the University of Chicago campus, TTIC has strong ties to the University. In addition to TTIC's excellent computing infrastructure, faculty members benefit from many of U. Chicago's state-of-the-art facilities.  TTIC faculty also regularly collaborate with U. Chicago faculty and students, as well as with faculty and students at Northwestern and other nearby institutions.

TTIC strongly supports travel and visitor hosting, and typically hosts several workshops each year.  

TTIC faculty and students enjoy the close proximity of a vibrant urban environment with flourishing culture, business, and entertainment scenes.


* Teaching Requirements

Tenured/tenure-track faculty teach one quarter per year. Research faculty have no teaching duties, but have the opportunity to teach and co-advise students.


* TTIC/Simons-Berkeley Joint Program

Applicants for research assistant professor (RAP) positions in relevant areas are encouraged to simultaneously apply for the TTIC RAP program and the Simons-Berkeley Research Fellowship (https://simons.berkeley.edu/research-fellowship-call-applications).

Applicants selected by both institutions will be able to participate in a program at the Simons Institute before joining TTIC. Please note that applicants interested in the joint program must submit separate applications to TTIC and the Simons Institute.


* Timeline

Applications received before December 1 are guaranteed full consideration. However, applications will continue to be considered at any time.

If interested in the joint program with the Simons Institute, please note that the Simons Institute has a different deadline.


* Where to Apply:  https://ttic.edu/facultyapplication

Senior applicants may directly contact the Chief Academic Officer (avrim@ttic.edu) or faculty members in their areas.


* Questions?  Contact recruiting@ttic.edu

Vicomtech (https://www.vicomtech.org/en/), an international applied research centre specialised in Artificial Intelligence, Visual Computing and Interaction located in Spain, has several research positions in the field of speech and natural language processing.

We are seeking talented and motivated individuals to join our dynamic Speech and Natural Language Technologies team in either our Donostia - San Sebastián or Bilbao premises. If you have experience in speech and/or natural language processing technologies and are passionate about applying cutting-edge research to solve real-world needs through advanced prototypes, this opportunity is for you! 

Whether you are a junior researcher (BSc/MSc graduate) looking to kickstart your career or a senior researcher (PhD graduate) eager to take on research leadership roles, we are interested in your profile. We offer the perfect environment with outstanding equipment and the best human team for growth. You will participate in advanced research and development projects, with opportunities to manage high-profile projects and/or lead technical teams depending on your experience. 

Key Responsibilities: 

• Conduct cutting-edge research in Speech and Natural Language Processing (NLP) technologies such as automatic speech recognition and synthesis, audio deep fake detection, information extraction, machine translation, text simplification and dialogue systems, among others. 
• Contribute to national and international research projects.
• Develop advanced prototypes that transfer technology to businesses and institutions. 
• Manage or lead research projects, depending on experience. 

Requirements: 

• Bachelor’s or Master’s degree in Computer Science, Telecommunications Engineering or related fields. 
• For senior profiles, a PhD in Speech Processing, NLP, AI or related disciplines is preferred. A PhD is not required for junior candidates. 
• Strong programming skills (Python, Bash). 
• Fluency in both spoken and written Spanish and English. 

Preferred Skills (Not Required but Valued): 

• Experience with speech and natural language processing tools and libraries (e.g. Kaldi, Whisper, Marian NMT, HuggingFace Transformers, Rasa, etc.). Deep learning frameworks (Pytorch, Tensorflow, ONNX). 
• Virtualization technologies (Docker, Kubernetes). 
• Experience in industrial and/or European research projects. 

What We Offer: 

• A vibrant, innovative research environment with state-of-the-art AI, Visual Computing, and Interaction technologies. 
• Exciting national and international research projects. A multidisciplinary and renowned team in Speech and Language Technologies. 
• Creative freedom in research, aligned with the centre’s goals. 
• Opportunities for personal development through continuous learning. 
• Clear career progression paths and leadership opportunities. 
• Work-life balance policies and a commitment to equal employment opportunities. 

If you are passionate about research and eager to apply or develop your expertise to real-world challenges, we encourage you to send us your CV and join our forward-thinking team!

To apply via LinkedIn: https://www.linkedin.com/jobs/view/4034768411

KU Leuven's Faculty of Engineering Science has an open position for a junior professor (tenure track) in the area ofSpoken Language Technologies. The successful candidate will conduct research on current challenges of speech technology and its applications,teach courses in the Master of Engineering Scienceand supervise students in the Master and PhD programs. The candidate will be embedded in the PSI research divisionof the Department of Electrical Engineering. More information is available athttps://www.kuleuven.be/personeel/jobsite/jobs/60334358?lang=en. The deadline for applications is September 30, 2024. 

KU Leuven is committed to creating a diverse environment. It explicitly encourages candidates from groups that are currently underrepresented at the university to submit their applications.