言语与语言技术领域的博士研究生岗位

“语音与语言技术领域的博士研究生岗位”将设计检测人工智能生成音频内容真实性与来源的方法，以应对深度伪造与水印相关的问题。该岗位人员将研发检测技术，构建音频数据集，并在先进计算基础设施上利用深度学习技术，对检测方法的鲁棒性进行评估。

Research description: Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16 000 students and 5 200 employees, including 446 professors. Our campus is in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The research will be carried out at the Department of Information and Communications Engineering, DICE , at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto Acoustics Lab with anechoic chambers, listening rooms, and audio measurement equipment. We are now looking for a Doctoral Researcher in Speech and Language Technology Are you excited about speech and audio AI, deepfake detection, and the question of how we can identify the origin of AI-generated content? We are looking for a Doctoral Researcher to join the funded project COWAMA: Content-based watermarking for AI-generated audio , led by ［会员专属信息］. The rapid development of generative AI has made it possible to create realistic speech and music, but it has also created risks related to misinformation, malicious deepfakes, copyright, ownership, attribution, and accountability. The project addresses these challenges by developing methods for detecting the origin and authenticity of generated and watermarked audio data, improving content-based audio watermarking, and evaluating robustness against removal, spoofing, adversarial attacks, and realistic downstream processing. Your role and goals: As the Doctoral Researcher, you will take primary responsibility for detecting generated audio content from multiple sources , and work jointly with the Postdoctoral Researcher on robustness, evaluation, and generalization . Your work will include: Developing methods for detecting the authenticity and origin of speech and audio content generated by multiple models and containing different watermarking methods. Creating datasets of diverse real and generated speech and audio, including content from different generative models and multiple watermarking methods. Adapting and improving detector baselines for multi-objective detection involving deepfake detection, content origin detection, and watermark identification. Developing explainable and localized detection methods for watermark and deepfake attribution, especially when generated content is mixed with other audio sources. Studying robustness against signal-processing attacks, generative resynthesis attacks, adversarial attacks, and realistic downstream processing such as mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics and subjective listening tests. Your network and team: You will be supervised within the project ［会员专属信息］ , who leads the Speech Synthesis research group at Aalto University. The group works on deep generative models for speech and audio, speech synthesis, differentiable signal processing, deepfake detection, and watermarking. In addition to the Aalto speech groups and the Postdoctoral Researcher in the project, you will work with an international collaboration network including ［会员专属信息］ at the National Institute of Informatics in Japan, ［会员专属信息］ at Universitat Pompeu Fabra in Spain, ［会员专属信息］ at KTH Royal Institute of Technology in Sweden. The collaboration network has a strong background in speech and audio synthesis, deep generative models, and deepfake detection, positioning the project to make an impact in watermarking and source tracing for AI-generated audio. About Finland: Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again as the happiest country in the world: World Happiness Report 2025 For more information about living in Finland: Aalto Careers for International Staff . More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ ［会员资料链接］ instagram.com/aaltouniversity To view information about Workday Accessibility, please click here . Please see more of our Open Positions here.

您的经验与抱负： 我们正在寻找一位充满好奇心且富有进取心的早期职业研究人员，希望能在语音、音频、机器学习及可信赖的生成人工智能领域提升专业素养。要胜任此职位，您应具备以下条件： 拥有理学硕士学位，或接近完成理学硕士学业，且专攻语音与语言技术、音频处理、机器学习、信号处理、计算机科学、电气工程或相关领域。 对音频深度伪造检测、水印技术、源追踪及生成式人工智能等博士研究课题具有浓厚的兴趣。 具备良好的编程技能，最好能掌握 Python 及现代机器学习工具。 具备深度学习、信号处理、语音/音频处理或统计机器学习方面的基础知识。 对处理语音和音频数据集、检测器模型、生成式音频模型以及实验评估的浓厚兴趣。 具有发表科学论文及参与开源、可复现研究的积极性。[ 能够在国际研究环境中独立且协作地开展工作。 要求具备流利的英语能力。无需掌握芬兰语。 如果您被选中担任此职位，您将需在阿尔托大学电气工程学院进行全日制博士研究。因此，请查阅[会员链接]中的学生信息及录取标准。

聘用待遇： 在具有实际社会意义领域设立博士研究职位：提升人工智能生成语音和音频的透明度、可追踪性及责任追溯能力。 参与研究旨在支持生成式人工智能更安全使用的技术方法的机会，包括深度伪造检测、水印溯源及鲁棒性评估。 完善的计算与音频研究基础设施，包括 CPU/GPU 集群、 CSC 与 LUMI 访问权限、 FIN-CLARIN 资源以及阿尔托声学实验室。 拥有支持性的研究团队，并由[会员信息]进行指导。 与语音合成、音乐技术、深度伪造检测及生成式音频领域的顶尖研究人员开展国际合作机会。 良好的开放科学环境：该项目旨在在知名期刊上发表论文，并发布软件源代码与训练模型，以支持可复现性及 FAIR 数据管理。 丰富的能力培养与学习机会，包括专业发展活动、员工培训以及基于个人兴趣与需求的开发项目。 一种以责任、勇气与协作为指引的文化，其中平等与包容有助于探索精神、创新、合作以及个人福祉。 我们丰富的专业发展机会使您能够不断成长与学习，您将有机会根据个人兴趣与需求积极参与员工培训与发展项目。该职位的起薪为每月 3143 欧元，并在中期评估后有所提升。该职位为固定期限，遵循学校标准的 2+2 培养模式。初始期限为两年，包含六个月试用期；在中期审查成功后，再延长两年，总期限为四年。该职位自 2027 年1月开始，或根据双方约定时间启动。 我们重视工作与生活的平衡以及全方位的健康与福祉。我们的工作采用混合模式，主要办公地点位于芬兰埃斯波市的奥塔尼米校区。重新焕新的校园生活充满活力，拥有精美的建筑、宁静的自然环境，以及多种咖啡馆、餐厅和服务设施，此外还有完善的公共交通连接。

Join us!: To apply, please share your CV, motivation letter, and copies of degree certificates and academic transcripts with us through our recruitment site ("Apply now!” at the bottom of the page) at the latest on 31st October 2026 23.59pm (EET). Please note: Aalto University employees should apply for the position via our internal HR system, Workday (Internal Jobs), using their existing Workday user account (not the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions For more information about the role, please contact ［会员专属信息］ (［会员联系方式］; ［会员联系方式］). For questions about the application process, please contact HR Advisor ［会员专属信息］ at ［会员联系方式］. We will go through applications, and we may invite suitable candidates to interview already during the application period. You will hear from us the latest in the second week of November. We aim to have a transparent and equal recruitment process, so feel free to ask us for feedback. Want to know more about us and your future colleagues ? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future . Read more about working at Aalto: ［会员资料链接］ and check out our new virtual campus experience: ［会员资料链接］