PhD student (f/m/x) in AI for Biomedicine

Updated: 27 days ago
Location: Bonn, NORDRHEIN WESTFALEN
Job Type: FullTime
Deadline: 07 Jun 2024

22 May 2024
Job Information
Organisation/Company

Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE)
Department

Human Resources
Research Field

Computer science
Researcher Profile

First Stage Researcher (R1)
Country

Germany
Application Deadline

7 Jun 2024 - 23:59 (Europe/Brussels)
Type of Contract

Temporary
Job Status

Full-time
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?

No

Offer Description

The German Center for Neurodegenerative Diseases (DZNE) is a world-leading, internationally oriented center for cutting-edge research into diseases of the nervous system. With its outstanding research personalities and state-of-the-art infrastructure, it offers the best conditions for publications and results at the highest level.

Around 1,200 employees at 10 locations in Germany are working together on new approaches to better understand and effectively combat diseases such as Alzheimer's, Parkinson's and ALS.

That is our goal - maybe soon yours too? Become part of the DZNE and support us in realizing our research strategy!

 

Support us full-time at the site Bonn as

 

PhD student (f/m/x) in AI for Biomedicine – Code 1316/2024/5

 

 

Your role in detail

 

The group of Prof Sach Mukherjee has an opening for a PhD candidate in the area of artificial intelligence (AI) for biomedicine. Our research efforts centre on AI, machine learning (ML) and high-dimensional modelling for next-generation biomedicine. Current methodological foci include deep neural networks for causal learning; robust, scientifically-constrained AI; and high-dimensional learning. Applications span large-scale molecular biology and "omics" as well as precision medicine. The focus of the position is on novel methodology for complex, high-dimensional data.

 

 

Your qualifications

 

We are looking for a highly motivated candidate with a degree in a mathematical or computational field (e.g. mathematics or computer science). A strong academic background and experience in one or more relevant programming languages (Python, R, Julia etc.) are important as well as a clear interest in the data sciences (AI, ML, statistics) per se. A strong background in AI, ML or statistics or related topics (e.g. probability, optimization, stochastic processes etc.) would be relevant. Prior exposure to biomedical research is not required. Strong scientific communication and writing skills are important.

 

 

What our employees value

 

  • Innovation and internationality - a forward-looking infrastructure, modern laboratory and office equipment, software tools and the opportunity for international exchange with your colleagues from 65 nations
  • Work-life balance - we reconcile work and private life with flexible working hours, mobile working, 30 days' holiday (On top free on Christmas Eve and New Year's Eve) and subsidised job/ Germany ticket options
  • Family-conscious corporate culture - because we know that family is important, we support you with parent-child offices, family services and daycare co-operations
  • Health promotion – through our extensive range of company health programmes, in cooperation with Sozialwerk.Bund
  • Focus on development - training programmes tailored to your individual needs and annual HR-development meetings for concrete prospects and potential development
  • Job with prospects - the position, which is initially limited to three years, offers the opportunity for extension
  • Personalised Onboarding - for a good start to your new professional challenge
  • A feel-good working environment - our Bonn employees enjoy a campus surrounded by greenery, with on-site parking and public transport connections as well our company restaurant

You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE. The DZNE is an equal opportunity employer. It especially welcomes and encourages disabled individuals to apply.

Applications should consist of a single PDF file including a curriculum vitae, degree transcripts two referees.

Please submit your application online via: Link tbd

For questions prior to your application, please contact: sach.mukherjee

 


Requirements
Research Field
Computer science
Education Level
Master Degree or equivalent

Languages
ENGLISH
Level
Excellent

Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE)
Country
Germany
City
Bonn
Geofield


Where to apply
Website

https://jobs.dzne.de/en/jobs/101339/form

Contact
City

Bonn
Website

http://www.dzne.de
Postal Code

53127

STATUS: EXPIRED