PhD or postdoctoral researcher positions (all genders welcome)

Georg-August-Universität Göttingen; Göttingen; On-site; EUR 54,000 - 70,000; Full time

Benefits offered by this job

Interdisciplinary and collaborative research environment

Opportunity for international collaboration

Family-friendly institution

Job summary

Georg-August-Universität Göttingen invites applications for PhD or postdoctoral researcher positions in the Neural Data Science Lab and Machine Learning Lab. These full-time roles focus on data science and computational neuroscience, applying machine learning and computer vision methods to analyze animal behavior and cognitive functions.

Qualified candidates should have a strong background in machine learning or cognitive science, along with analytical skills and proficiency in English. The positions offer an interdisciplinary research environment with opportunities for collaboration with leading scientific institutions.

Qualifications

• Strong background in machine learning and computer vision or cognitive science and computational neuroscience.
• Strong mathematical and analytical skills.
• Very good command of the English language.
• For postdoctoral researchers: PhD in a relevant field and ability to lead a small team of PhD students.

Responsibilities

• Develop and apply modern methods to analyze animal behavior.
• Conduct research in data science and computational neuroscience.

Skills

Machine learning (especially deep learning)

Computer vision

Cognitive science

Mathematical skills

Analytical skills

English language proficiency

Education

PhD in a relevant field

Job description

Overview

The Neural Data Science Lab (Prof. Ecker) and the Machine Learning Lab (Prof. Sinz) of the Institute of Computer Science at the University of Göttingen invite applications for PhD or postdoctoral researcher positions (all genders welcome).

Position details

Positions are full-time (currently 39,8 hours/week) up to salary level TV-L E14 initially for three years, with the possibility of extension. Projects are in the area of data science and computational neuroscience. You will develop and apply modern methods from machine learning and computer vision to analyze animal behavior or fundamental cognitive functions and their neural mechanisms.

Your profile

• Strong background in either machine learning (especially deep learning) and computer vision or cognitive science and computational neuroscience to solve challenging scientific problems
• Strong mathematical and analytical skills
• Very good command of the English language
• For postdoctoral researchers: PhD in a relevant field and ability to lead a small team of PhD students

What we offer

• A highly interdisciplinary and collaborative, team-oriented research environment.
• You will be integrated into a thriving scientific environment with several Collaborative Research Centers, the Campus Institute Data Science. Collaboration with the Max Planck Institute for Dynamics and Self-Organization, German Primate Center and international partners at Stanford University is possible and encouraged.
• We value diversity and equality, and provide a family-friendly, diverse and international environment.

Application process

Please submit your application as a single pdf with the usual documents (motivation letter, curriculum vitae, university degrees, transcript of records, contact details of up to two referees) electronically to:

• Ecker Lab (eckerlab@ uni-goettingen.de) if you are interested in joining the Neural Data Science Lab
• Sinz Lab ([e-mail]) if you are interested in joining the Machine Learning Lab

For questions about the position, please contact the respective principal investigator at the email addresses stated above.

Equal opportunity and data protection

The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.

Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo