Machine Learning Expert (all genders) -100%
Universität Zürich
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Evolving Language
Machine Learning Expert (all genders) 100 %
Start of employment upon agreement, temporary
We seek to hire an expert in machine learning at the National Center of Competence in Research (NCCR) Evolving
Language and its 46 different research groups from a large variety of disciplines across Switzerland. The successful
candidate will contribute to our mission of delivering state-of-the-art machine learning solutions and pipelines for
advancing our understanding of the origins and the future of language. The expert will join our Team of data scientists
at the NCCR's headquarters and be affiliated with the University of Zurich's Technology Platform LiRI (Linguistic
Research Infrastructure). The position is initially limited for a period of one year with the possibility of extension
and a permanent contract.
Your responsibilities
If you are interested in language evolution, you want to develop the next generation machine learning solutions for
research on language in relation with behavior, communication, and the brain, and you enjoy collaborating with language
scientists, ethologists, neuroscientists, and engineers, then you might be the person we are looking for. You will be
expected to work proactively in a team of data scientists and software engineers, to provide consulting services to
researchers with diverse backgrounds, to design and implement machine learning algorithms and pipelines, to help
organize workshops, and to spend time in the various labs of the NCCR network. We collaborate with data science
platforms at the ETH Zurich and EPF Lausanne as well as with partners in industry.
Your profile
You hold a PhD degree in computer science, physics, engineering, or a related natural science. You have strong
expertise in machine learning applied to audio, video, and language processing, ideally including multimodal
integration of these signals. You are motivated to work on topics such as speech processing, animal communication,
natural language understanding, computational neuroscience, and phylogenetic modeling within the interdisciplinary
framework of the NCCR Evolving Language.
You have a solid theoretical foundation in computer science, data science and statistics, and you are well versed in
deep learning, reinforcement learning, and signal processing. You are comfortable designing and implementing both
supervised and unsupervised learning approaches, from conceptual modeling to deployment.
You are experienced in developing efficient and reproducible solutions for both small- and large-scale data. You are
familiar with modern development frameworks including React for frontend interfaces, Flask for backend services, and
Docker for reproducible environments. Experience with data visualization, 3D tracking, or speech-to-text (ASR) systems
is a plus.
You have excellent communication and collaboration skills, value teamwork, and thrive in multidisciplinary research
environments that combine computational, linguistic, and neurobiological perspectives.
Information on your application
We offer varied and interesting work in an inspiring and respectful environment. We promote a work environment of
diversity and inclusion. We place emphasis on gender balance; we particularly encourage women to apply.
Applications should include a letter of motivation, a CV, a publication list, and 2 reference contacts in one pdf
document and they should be sent via the button "Apply now".
What we offer
Our employees benefit from a wide range of attractive offers. More
What we offer
Work-Life Balance
- Flexible working models (such as part-time positions, mobile working, job-sharing)
- Childcare at the kihz foundation of UZH and ETH
More Learning and Development
- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich
More Food
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution
More Healthcare
- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower
More Discounts
- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations
More Conditions of Employment
- Policies of the UZH
- Most UZH staff are employed according to public law
More International Services
- Support for people from outside Switzerland
More Campuses
- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg
More
Location
Evolving Language
Affolternstrasse 56, 8050 Zürich, Switzerland
Further information
Questions about the job
Richard Hahnloser Contact Form
Contact question to: Richard Hahnloser
Your Name *Your Mail Address *Your question *I accept the privacy policySend Thank you for your message. We will get
back to you shortly. Working at UZH
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject
areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the
University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent
and skills to work with us. Find out more about UZH as an employer!
More → https://www.uzh.ch/en/explore/work.html
Please apply via our job portal www.jobs.uzh.ch.
Working at UZH
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject
areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the
University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent
and skills to work with us. Find out more about UZH as an employer! More
Machine Learning Expert (all genders) 100 %
Start of employment upon agreement, temporary
We seek to hire an expert in machine learning at the National Center of Competence in Research (NCCR) Evolving
Language and its 46 different research groups from a large variety of disciplines across Switzerland. The successful
candidate will contribute to our mission of delivering state-of-the-art machine learning solutions and pipelines for
advancing our understanding of the origins and the future of language. The expert will join our Team of data scientists
at the NCCR's headquarters and be affiliated with the University of Zurich's Technology Platform LiRI (Linguistic
Research Infrastructure). The position is initially limited for a period of one year with the possibility of extension
and a permanent contract.
Your responsibilities
If you are interested in language evolution, you want to develop the next generation machine learning solutions for
research on language in relation with behavior, communication, and the brain, and you enjoy collaborating with language
scientists, ethologists, neuroscientists, and engineers, then you might be the person we are looking for. You will be
expected to work proactively in a team of data scientists and software engineers, to provide consulting services to
researchers with diverse backgrounds, to design and implement machine learning algorithms and pipelines, to help
organize workshops, and to spend time in the various labs of the NCCR network. We collaborate with data science
platforms at the ETH Zurich and EPF Lausanne as well as with partners in industry.
Your profile
You hold a PhD degree in computer science, physics, engineering, or a related natural science. You have strong
expertise in machine learning applied to audio, video, and language processing, ideally including multimodal
integration of these signals. You are motivated to work on topics such as speech processing, animal communication,
natural language understanding, computational neuroscience, and phylogenetic modeling within the interdisciplinary
framework of the NCCR Evolving Language.
You have a solid theoretical foundation in computer science, data science and statistics, and you are well versed in
deep learning, reinforcement learning, and signal processing. You are comfortable designing and implementing both
supervised and unsupervised learning approaches, from conceptual modeling to deployment.
You are experienced in developing efficient and reproducible solutions for both small- and large-scale data. You are
familiar with modern development frameworks including React for frontend interfaces, Flask for backend services, and
Docker for reproducible environments. Experience with data visualization, 3D tracking, or speech-to-text (ASR) systems
is a plus.
You have excellent communication and collaboration skills, value teamwork, and thrive in multidisciplinary research
environments that combine computational, linguistic, and neurobiological perspectives.
Information on your application
We offer varied and interesting work in an inspiring and respectful environment. We promote a work environment of
diversity and inclusion. We place emphasis on gender balance; we particularly encourage women to apply.
Applications should include a letter of motivation, a CV, a publication list, and 2 reference contacts in one pdf
document and they should be sent via the button "Apply now".
What we offer
Our employees benefit from a wide range of attractive offers. More
What we offer
Work-Life Balance
- Flexible working models (such as part-time positions, mobile working, job-sharing)
- Childcare at the kihz foundation of UZH and ETH
More Learning and Development
- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich
More Food
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution
More Healthcare
- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower
More Discounts
- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations
More Conditions of Employment
- Policies of the UZH
- Most UZH staff are employed according to public law
More International Services
- Support for people from outside Switzerland
More Campuses
- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg
More
Location
Evolving Language
Affolternstrasse 56, 8050 Zürich, Switzerland
Further information
Questions about the job
Richard Hahnloser Contact Form
Contact question to: Richard Hahnloser
Your Name *Your Mail Address *Your question *I accept the privacy policySend Thank you for your message. We will get
back to you shortly. Working at UZH
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject
areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the
University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent
and skills to work with us. Find out more about UZH as an employer!
More → https://www.uzh.ch/en/explore/work.html
Please apply via our job portal www.jobs.uzh.ch.
Working at UZH
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject
areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the
University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent
and skills to work with us. Find out more about UZH as an employer! More