Research Assistant or Project Worker in voice-based biomarking of health

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 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus 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.

Symptonic is a pioneering research-to-business (R2B) project at Aalto University that leverages cutting-edge machine learning and signal-processing techniques to develop voice-based biomarking platform for early detection and monitoring of health conditions. Our goal is to translate promising academic results into a clinically validated platform that can support diagnostics, patient monitoring, and personalized care.

School of Electrical Engineering’s Department of Information and Communications Engineering is now seeking a

Research Assistant or Project Worker

to help us bring these research results into clinical practice. Are you passionate about machine learning and signal processing and eager to apply them to real-world health challenges? In this role, you will develop the technical validation our R2B project needs to commercialize the system. If the project leads to commercialization, there may be longer-term opportunities to continue shaping the platform’s future.

Your role and goals

In this position, you will implement and evaluate state-of-the-art deep learning models for voice signal processing and deliver trained models along with quantitative performance metrics to demonstrate their effectiveness to clinical and industry partners. You will also conduct literature reviews, create technical illustrations, and prepare documentation tailored to various stakeholders, including medical experts, venture capitalists, patient groups, and funding agencies such as Business Finland.

The selected person will be either a student as a Research Assistant or in a case of a person who has already graduated, a Project Worker.

Work will be carried out mainly on site in Otaniemi, with the option of partial remote work Working hours can be adjusted to suit the applicant’s life situation, ranging from 50% to 100% of full‐time.  However, for students 50 % working time is maximum during school year.  The contract will be fixed term, with a duration of 6–12 months, depending on the agreed working hours.

Your network and team

You will join a dynamic team of three: Mikko Petäjä (Business Champion), Saska Tirronen (Technical Champion), and Farhad Javanmardi (Post-doctoral Researcher). The project’s Principal Investigator is Prof. Paavo Alku.

Your experience and ambitions

The ideal candidate has:

• Good programming skills in Python

• Good skills in PyTorch or TensorFlow

• Working knowledge of Linux (experience from Aalto Triton or other high-performance computing is considered an advantage)

• A solid understanding of deep learning architectures, such as RNNs, CNNs, Transformers, and generative frameworks (e.g., GANs, normalizing flows, diffusion models), and how to apply them in signal processing

• Fluency in English; Finnish proficiency is considered an advantage

We’re looking for someone who is enthusiastic, curious, and collaborative, with a proactive work style and a keen interest in translating research into practical solutions.

What we offer
You will contribute directly to a project that could revolutionize health diagnostics and patient care. Aalto’s culture of responsibility, courage, and collaboration brings together research, creativity, and entrepreneurship to shape a sustainable future. You’ll benefit from comprehensive learning and development opportunities, ranging from staff trainings to research seminars. Our supportive community offers close mentorship, regular coaching, and an inclusive atmosphere that values well-being and work-life balance. Based at the vibrant Otaniemi Campus in Espoo, you’ll enjoy inspiring architecture, green spaces, cafés, and excellent public transport.

Aalto University follows the salary system of Finnish universities.

Join us!
To apply, please share your CV and motivation letter with us through our recruitment site ("Apply now!”) latest on 31th August 2025.

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions).

For more information about the role, please contact Saska Tirronen, saska.tirronen@aalto.fi. Regarding the application process and practical arrangements, please contact HR Advisor Johanna Haapalainen (hr-elec@aalto.fi).

We will go through applications, and we will hire the right candidate as soon as we find them, possibly already during the application period.We aim to have a transparent and equal recruitment process, so feel free to ask us for feedback.

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