PhD & postdoc positions in causal inference and machine learning

Updated: about 8 hours ago

19.05.2021, Wissenschaftliches Personal

If you are interested in application-inspired methodology, such as uncertainty, missingness, causal effect, robust inference, or reliable machine learning, then you are the right person for this position.

We offer:
-- PhD or postdoc full-time position at Helmholtz Munich with affiliation at TUM.
-- Employed at Dr. Narges Ahmidi’s lab at Helmholtz: https://www.helmholtz-muenchen.de/icb/research/labs/optimization-of-patient-treatment/overview/index.html
-- Academic supervisor will be Prof. Dr. Mathias Drton’s Chair at TUM: https://www.professoren.tum.de/en/drton-mathias
-- The PhD position is for three years at 75% time with a flexible starting date.
-- Postdoc position (2-5 years, EG 13)
-- A competitive salary and benefits are paid in accordance with the public service wage agreement of the Free State of Bavaria (TV-L E 13).

*Candidate profile*:

-- Machine learning and statistics, probabilistic theory, uncertainty quantification, understanding of causal inference
-- Masters degree in computer science, stats, math, bio-informatik, or similar fields

*How to apply*:

Applications should be sent as a single PDF file to <pdt.lab.munich@gmail.com> (subject: "TUM Method Causal PhD"). The file should include:
-- your CV, Master and Bachelor transcripts, and a cover letter and contact information of two references. Please attach to the email, your main publications too (thesis, papers, …)

*The review of applications will begin on May 30, 2021 and continue until the position is filled.*

As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university's research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.

Data Protection: With your application for a position at the Technical University of Munich (TUM) you naturally send us personal data. Please observe our data protection information in accordance with Article 13 of the German Data Protection Law (DSGVO) under http://go.tum.de/554159 regarding the storage and usage of your personal data as submitted in connection with your application. By sending your application, you confirm that you acknowledge the data protection information of TUM.

Deadline: 31.08.2021

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: pdt.lab.munich@gmail.com


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