Researcher in Scientific Machine Learning University of Tubingen

Researcher in scientific Machine Learning (m/f/d; TV-L E13, 100%) Cluster of Excellence "Machine Learning - New Perspectives for Science" Application deadline : 31.12.2020 Are you passionate about probabilistic machine learning (ML), scientific datasets and clean performant code? Would you like to feed your passion for science on cutting-edge research, from archaeology to quantum physics? Do you look forward to solving inference problems with the outstanding minds in the Tübingen ML community? The mlcolab (Machine Learning ⇌ Science Colaboratory) is looking for you! Researcher in scientific ML (m/f/d; TV-L E13, 100%) We are reaching out to enhance our team with a motivated, skilled researcher working at the intersection of science, engineering, and people. The position is for three years. About us We want to raise the power of scientific discovery by thoughtful application of machine learning techniques — closely working together with the ML researchers and the research community of the University, spanning the natural sciences, the social sciences and the humanities. We explain our mission in depth at https://mlcolab.org/mission. We are building a team to tackle this challenge from different angles. We develop, implement and deploy probabilistic models for varied research problems, from reconstructing bone surfaces from point-cloud data, to finding parameters for complex and realistic physical simulations, to classifying microscopic pollen grains, to analysing ancient texts. Have a look at https://mlcolab.org/projects we train and advise researchers on the best methods to obtain maximum insight from their data, from feature selection to model evaluation. we assess best practices in scientific machine learning, and share our progress with the community in conventional as well as interactive formats. finally, we distill recent literature into open-source machine learning code to facilitate realistic and unbiased algorithm benchmarking and to empower researchers across disciplines. Your role You will be contributing your experience towards developing models and software, coaching and giving advice, preparing publications, designing compelling explanations and delivering them to postgraduate audiences. You will interact with scientists and ML researchers to set up joint projects, sometimes leading teams to carry them out. Our group is collegial and collaborative with access to exciting datasets and ML expertise in our research network that facilitate formulating projects aligned with our mission and your interests. Your profile You possess an excellent M.Sc. or PhD degree in a quantitative discipline (mathematics, physics, computer science, etc), good programming skills and hands-on experience training ML models. All other qualifications below are just preferred: none of us walked in with all of them. If a few of these points apply to you, we want to talk to you! A command of probabilistic modelling enabling you to read and explain recent machine learning research. Applied software skills such as designing documented, composable API, vectorising/parallelising sequential code, leveraging developer tooling CI, git, docker...). Fluency with the Python and/or Julia data science and differentiable computing stacks (scikit-learn, pandas, pytorch, jax, pyro, mlj, flux, turing...). Willingness to communicate complex ML methods to domain scientists and domain problems to ML researchers, and a drive to improve on current explanation formats by using interactive media. Coaching and lateral leadership skills to interact with our own and other PhD and MSc students, as well as collaborators. We are looking for a balanced team and will help each other grow where required. Tübingen for research and life Tübingen is a scenic university town on the Neckar river in South-Western Germany with an exceptionally high quality of life and a welcoming, diverse and inclusive atmosphere. In Tübingen, you will find a young international environment where most locals speak English. Thanks to the University, four Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium, Tübingen offers an intellectually stimulating atmosphere. This network is a stone's throw away from your office at the brand-new Tübingen AI Research Center, where you can enjoy beautiful views, great coffee, lots of social interactions with friendly colleagues, and excellent hardware at your desk and in our powerful ML Cloud. What is important to us We care about caring — and look for people who deeply care about every member in the team and our joint endeavor, with an eye for detail and an appreciation of excellence. We are open-minded about how you organize your working schedule in order to accommodate different rhythms of life, including caring for the kids or the elderly. We strive to keep constantly learning and put time aside for that. To learn best not only from books but also from human interactions, we encourage kind, honest, and constructive feedback. We distribute work based on motivation and competence, not titles. And we stand behind our work as a team. We believe that diversity in age, abilities, sexuality, gender identity, ethnicity, perspectives and ideas makes not just for a richer life, but also for a better team outcome. And we know that people do their best work when they feel like they belong — included, valued, and equal. This is the environment we want to build, where everyone brings their full selves to work knowing that they’ll be supported to succeed. We hope you’ll join us. How to apply For questions about the job, write to Álvaro (alvaro.tejerospam prevention@uni-tuebingen.de). To apply, send a single pdf file <lastname>.pdf to Elena (elena.sizanaspam prevention@uni-tuebingen.de) including: a letter explaining why you'd like to be part of the team and how you can contribute, a transcript of records of your master degree (and PhD degree if applicable), your curriculum vitae and contact details of two or three people who have worked with you, and links to code you have written, talks you have given and papers you have published, if applicable. Where unavailable online you can add a separate file. Applications received until 31.12.2020 will receive full consideration. The university seeks to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference. The employment will be carried out by the central administration of the University of Tübingen. If you apply for this position please say you saw it on Computeroxy

Researcher in scientific Machine Learning (m/f/d; TV-L E13, 100%)

Cluster of Excellence "Machine Learning - New Perspectives for Science"

Application deadline : 31.12.2020

Are you passionate about probabilistic machine learning (ML), scientific datasets and clean performant code? Would you like to feed your passion for science on cutting-edge research, from archaeology to quantum physics? Do you look forward to solving inference problems with the outstanding minds in the Tübingen ML community?

The mlcolab (Machine Learning ⇌ Science Colaboratory) is looking for you!

Researcher in scientific ML (m/f/d; TV-L E13, 100%)

We are reaching out to enhance our team with a motivated, skilled researcher working at the intersection of science, engineering, and people. The position is for three years.

About us

We want to raise the power of scientific discovery by thoughtful application of machine learning techniques — closely working together with the ML researchers and the research community of the University, spanning the natural sciences, the social sciences and the humanities. We explain our mission in depth at https://mlcolab.org/mission.

We are building a team to tackle this challenge from different angles. We develop, implement and deploy probabilistic models for varied research problems, from reconstructing bone surfaces from point-cloud data, to finding parameters for complex and realistic physical simulations, to classifying microscopic pollen grains, to analysing ancient texts. Have a look at https://mlcolab.org/projects

we train and advise researchers on the best methods to obtain maximum insight from their data, from feature selection to model evaluation.
we assess best practices in scientific machine learning, and share our progress with the community in conventional as well as interactive formats.
finally, we distill recent literature into open-source machine learning code to facilitate realistic and unbiased algorithm benchmarking and to empower researchers across disciplines.

Your role

You will be contributing your experience towards developing models and software, coaching and giving advice, preparing publications, designing compelling explanations and delivering them to postgraduate audiences. You will interact with scientists and ML researchers to set up joint projects, sometimes leading teams to carry them out. Our group is collegial and collaborative with access to exciting datasets and ML expertise in our research network that facilitate formulating projects aligned with our mission and your interests.

Your profile

You possess an excellent M.Sc. or PhD degree in a quantitative discipline (mathematics, physics, computer science, etc), good programming skills and hands-on experience training ML models.
All other qualifications below are just preferred: none of us walked in with all of them. If a few of these points apply to you, we want to talk to you!

A command of probabilistic modelling enabling you to read and explain recent machine learning research.
Applied software skills such as designing documented, composable API, vectorising/parallelising sequential code, leveraging developer tooling CI, git, docker...).
Fluency with the Python and/or Julia data science and differentiable computing stacks (scikit-learn, pandas, pytorch, jax, pyro, mlj, flux, turing...).
Willingness to communicate complex ML methods to domain scientists and domain problems to ML researchers, and a drive to improve on current explanation formats by using interactive media.
Coaching and lateral leadership skills to interact with our own and other PhD and MSc students, as well as collaborators.

We are looking for a balanced team and will help each other grow where required.

Tübingen for research and life

Tübingen is a scenic university town on the Neckar river in South-Western Germany with an exceptionally high quality of life and a welcoming, diverse and inclusive atmosphere. In Tübingen, you will find a young international environment where most locals speak English.

Thanks to the University, four Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium, Tübingen offers an intellectually stimulating atmosphere.

This network is a stone's throw away from your office at the brand-new Tübingen AI Research Center, where you can enjoy beautiful views, great coffee, lots of social interactions with friendly colleagues, and excellent hardware at your desk and in our powerful ML Cloud.

What is important to us

We care about caring — and look for people who deeply care about every member in the team and our joint endeavor, with an eye for detail and an appreciation of excellence.

We are open-minded about how you organize your working schedule in order to accommodate different rhythms of life, including caring for the kids or the elderly.

We strive to keep constantly learning and put time aside for that. To learn best not only from books but also from human interactions, we encourage kind, honest, and constructive feedback. We distribute work based on motivation and competence, not titles. And we stand behind our work as a team.

We believe that diversity in age, abilities, sexuality, gender identity, ethnicity, perspectives and ideas makes not just for a richer life, but also for a better team outcome. And we know that people do their best work when they feel like they belong — included, valued, and equal. This is the environment we want to build, where everyone brings their full selves to work knowing that they’ll be supported to succeed. We hope you’ll join us.

How to apply

For questions about the job, write to Álvaro (alvaro.tejerospam prevention@uni-tuebingen.de). To apply, send a single pdf file <lastname>.pdf to Elena (elena.sizanaspam prevention@uni-tuebingen.de) including:

a letter explaining why you'd like to be part of the team and how you can contribute,
a transcript of records of your master degree (and PhD degree if applicable),
your curriculum vitae and contact details of two or three people who have worked with you, and
links to code you have written, talks you have given and papers you have published, if applicable. Where unavailable online you can add a separate file.

Applications received until 31.12.2020 will receive full consideration.

The university seeks to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference. The employment will be carried out by the central administration of the University of Tübingen.

If you apply for this position please say you saw it on Computeroxy