可信机器学习博士研究生岗位

该研究项目专注于可信机器学习领域，具体致力于提升机器学习模型的来源可验证性与完整性。研究人员将探讨可验证且可审计的机器学习方法，解决对抗性鲁棒性和公平性等问题。申请者应具备扎实的 Python 编程基础，尤其是 PyTorch 的使用能力，并熟悉应用数学知识。

Research description: Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with 14 000 students and a staff of 5000, of which more than 400 are professors. Our main campus is located in Espoo, 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 Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the leading computer science research unit in northern Europe. Computer science research at Aalto University ranks high in several international surveys (7th in Europe and 1st in the Nordics (NTU 2023); and 88th worldwide in Times Higher Education subject ranking 2025). We are now looking for a Doctoral Researcher in Trustworthy Machine Learning Your role and goals: Trustworthy & Adversarial Computing Lab ( ［会员资料链接］ ) led by ［会员专属信息］ is looking for a doctoral researcher (PhD student) to pursue a degree in trustworthy machine learning. As a doctoral researcher your goal is to conduct research in the fast-paced field of trustworthy machine learning. You are expected to: 1) Carry out state-of-the-art research. 2) Prepare and publish manuscripts at leading conferences and journals. 3) Present your work at academic and industry events. 4) Collaborate with other researchers (locally and internationally). Focus The position is focused on provenance and integrity of machine learning models and pipelines. You will tackle topics related to: 1) Verifiable, provable and auditable machine learning (e.g. adversarial robustness, privacy, fairness). 2) AI/MLBOM and related topics. 3) Proof carrying in ML. In addition to research work, the hired is expected to participate in teaching following the standard practices at the department. 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 just listed again as the happiest country in the world: World Happiness Report 2025: People are much kinder than we expect, research shows | The World Happiness Report . More about Aalto University: Aalto.fi twitter.com/aaltouniversity facebook.com/aaltouniversity instagram.com/aaltouniversity 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： 该职位要求具备出色的 Python 编程能力，并需证明对 PyTorch 的熟悉程度；拥有在共享代码库中工作的经验；具备优秀的应用数学技能（尤其是概率论、矩阵代数和微积分）。除了技术经验外，候选人还须具备良好的团队合作与协作能力，以及批判性与独立思考的能力。 如果您符合以下条件，则非常适合： 1) 您拥有机器学习方面的经验，并希望从安全与隐私的角度进行探索，或者 2) 您拥有安全与隐私相关背景，并希望将相关经验应用于机器学习领域，或 3) 您拥有可解释/可理解/公平机器学习以及软件供应链方面的经验。 优秀的申请者应具备在可信机器学习领域的相关经验，或拥有在机器学习、安全/隐私及软件供应链领域的研究成果。

聘用待遇： 我们在[会员信息]的指导下提供全额资助的职位（2 + 2模式）。可信计算与对抗性计算实验室是一个新成立的团队，该实验室拥有广泛的网络，包括欧洲及世界各地的企业和学术机构。 预期开始日期为2027年1月，如有机会则更早。 该职位属于阿尔托大学职业体系，入选者将获得为期两年的固定任期，并享有两年续聘的选项。 该职位的起薪为每月 3168 欧元。除了薪资外，合同还包含职业健康福利，而芬兰拥有完善的社会保障体系。阿尔托大学研究与教学人员的年度总工作时间为 1,612 小时。该职位位于阿尔托大学奥塔尼米校区。

Ready to apply?: If you want to join our community, please submit your application through our recruitment system Workday. The deadline for applications is 31.10.2026 . The position will be filled as soon as suitable candidate has been identified. Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account. To apply, please share the following application materials in one pdf file with us: · CV · Short bio · Draft research plan · Transcript of records and a pdf or link to your MSc thesis · Recommendation letter(s) or contact details for such · At later stage, you will need to provide your Bachelor’s and Master’s diplomas (if not from Aalto) The candidates must have completed their Master’s degree before the start of the contract period. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period.