Postdoctoral Research Fellow – AI & Data Science

12 Apr 2024
Job Information

Organisation/Company

University of Tuebingen

Department

Applied Medical Informatics

Research Field

Computer science » Other
Computer science » Programming
Computer science » Informatics

Researcher Profile

Recognised Researcher (R2)

Country

Germany

Application Deadline

30 Apr 2024 - 23:59 (Europe/Berlin)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

39,5

Offer Starting Date

1 Sep 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

Yes

Offer Description

The University of Tübingen and Boehringer Ingelheim AI & Data Science Fellowship Program invite applications for:

 

Postdoctoral Research Fellow – AI & Data Science (f/m/d; E13 TV-L, 100%). 

 

Medical and pharmaceutical innovation relies on clinical trials as a crucial quality control step. Most trials are delayed or altogether fail due to unrealistic trial designs. This project aims to fundamentally change how clinical trials are designed, and recruited for, by:

• training and fine-tuning foundation models for trial design and matching,
• reducing model hallucinations via retrieval-augmented generation,
• providing additional context via multi-modal grounding.

This project will advance our basic scientific understanding of foundation models while having a considerable practical impact on life sciences.

 

Your host: Health NLP Lab, led by Prof. Carsten Eickhoff (https://health-nlp.com ).

 

Collaborating scientist: Carina Reinicke (Global Clinical Development & Operations) at Boehringer Ingelheim.

 

The ideal candidate  will bring:

• a Ph.D. or equivalent in Natural Language Processing, Computational Linguistics, Information Retrieval, Machine Learning, or a related discipline
• demonstrated experience in machine learning, deep learning, and NLP techniques, in particular generative language models
• proficiency in programming languages such as Python and experience with NLP frameworks (e.g., TensorFlow, PyTorch)
• a track record of publishing in high-impact journals and conferences
• excellent analytical, problem-solving, and communication skills
• the ability to work both independently and as part of a collaborative team

What this position offers you :

• exciting research at Europe’s leading AI campus
• access to state-of-the-art research facilities and computational resources -cooperation with a research-driven global pharmaceutical company
• opportunities for professional development, including conference attendance and collaboration with international researchers
• a collegial work atmosphere
• career mentoring-opportunity to gain leadership experience by supervising research assistants
• extensive visa and onboarding assistance

We value diversity in science and particularly look forward to receiving applications from women, non-binary people, and researchers from underrepresented groups across cultures, genders, ethnicities, and lifestyles. We actively promote the compatibility of science, work, studies, family life, and care work. In case of equal qualification and experience, physically challenged applicants are given preference.

 

How to apply :

Please send your application (including a cover letter, curriculum vitae, and the contact details of 2 academic references) with the subject “Application: UT/BI Postdoctoral Fellowship” via e-mail to Carsten Eickhoff:

 

[email protected]

 

Application deadline: April 30th, 2024

Requirements

Research Field

Computer science

Education Level

PhD or equivalent

Skills/Qualifications

• a Ph.D. or equivalent in Natural Language Processing, Computational Linguistics, Information Retrieval, Machine Learning, or a related discipline
• demonstrated experience in machine learning, deep learning, and NLP techniques, in particular generative language models
• proficiency in programming languages such as Python and experience with NLP frameworks (e.g., TensorFlow, PyTorch)
• a track record of publishing in high-impact journals and conferences
• excellent analytical, problem-solving, and communication skills
• the ability to work both independently and as part of a collaborative team

Languages

ENGLISH

Level

Excellent

Research Field

Computer science

Years of Research Experience

1 - 4

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Applied Medical Informatics - Health NLP Lab

Country

Germany

City

Tuebingen

Postal Code

72072

Street

Schaffhausenstr. 77

Geofield

Where to apply

E-mail

[email protected]

Contact

City

Tuebingen

Website

https://www.medizin.uni-tuebingen.de/de/das-klinikum/einrichtungen/institute/informationstechnologie-und-medizininformatik/angewandte-medizininformatik
https://health-nlp.com/

Street

Schaffhausentr. 77

Postal Code

72072

STATUS: EXPIRED