+++ At DLR, we are always looking for bright minds – even during the current exceptional circumstances. Our current vacancies can be found here. +++

Researcher at DLR. Because I am who I am.

Bookmark
Scientific activities / projects

Causal inference and explainable AI

Starting date

1 February 2021

Duration of contract

3 years

Remuneration

up to the German TVöD 14

Type of employment

Full-time

The Climate Informatics working group at German Aerospace Center’s Institute of Data Science combines innovative data science methods from different fields (causal inference, nonlinear dynamics, deep learning) and closely works with experts in the climate sciences. Climate Informatics is a challenging and promising research field where a concentrated effort will have a high impact both to advance science and to address climate change topics of critical importance for the society. The core methodological topics include causal inference and causal discovery for spatio-temporal dynamical systems, nonlinear time series analysis, machine learning and deep learning. But the methods are flexible and open for your ideas!

Your tasks:

  • development of theory and methods for causal inference and its relation to explainable AI
  • implementation of methods in well-documented software
  • collaboration in the application of methods on observed and simulated Earth system data
  • publication of results in peer-reviewed journals
  • presentation of results on national and international conferences

To support your international research experience, the group has a generous travel budget for conferences and extended research stays. Currently, we have collaborators at Imperial College London, Oxford, Carnegie Mellon University, National Center for Atmospheric Research (NCAR), and California Institute of Technology, and more.

Your qualifications:

  • Master in mathematics, physics, statistics, or computer science
  • PhD in mathematics, physics, statistics, or computer science desirable
  • multiyear experience in independent work on highly complex research tasks
  • multiyear experience in the mathematical analysis of complex systems or machine learning, causal inference, statistical methods, or related areas
  • desire and ability to work in an interdisciplinary team
  • creativity and strong motivation to develop new methods for climate science applications
  • excellent pogramming skills
  • fluency in written and oral English

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

  • Apply online now
  • You can send this job advertisement via e-mail and complete your application on a personal computer or laptop.

    We need your digital application documents (PDF). The document upload function is not supported by all mobile devices. Please complete your application on a PC/laptop.

    Complete application on PC

Technical contact

Dr. Jakob Runge
Institute of Data Science

Phone: +49 3641 30960-112

Send message

Vacancy 53593

HR department Berlin

Send message

DLR site Jena

To location

DLR Institute of Data Science

To institute