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Research Assistant (m/f/d) with expected full time, salary grade E 13 TV-L HU (third-party funding limited for 3 years, intended to be hired as of 01.10.2022)

Reference number: SClol-C4-45B

The Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Department of  Computer Science, invites applications for a PhD position for the Cluster of Excellence “Science of Intelligence”.

 

What are the principles of intelligence, shared by all forms of intelligence, no matter whether artificial or biological, whether robot, computer program, human, or animal? And how can we apply these principles to create intelligent technology? Answering these questions - in an ethically responsible way - is the central scientific objective of the new Cluster of Excellence Science of Intelligence (https://www.scioi.de), where researchers from a large number of analytic and synthetic disciplines - artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, psychology, educational science, neuroscience, and philosophy - join forces to create a multi-disciplinary research program across universities and research institutes in Berlin. Interdisciplinary research projects have been defined (https://www.scienceofintelligence.de/research/projects), which combine analytic and synthetic research and which address key aspects of individual, social, and collective intelligence.

 

Working field

Project: Modeling Neurogenesis for Continuous Learning

Doctoral project: The role of plasticity in sensorimotor learning 

The doctoral project focuses on the role of plasticity in sensorimotor learning, in particular in open-ended learning. One starting point will be intrinsic motivation strategies and goal exploration (Oudeyer et al. 2007, Forestier et al. 2017). The second part of the project investigates aspects of restructuring and modularity in predictive computational models (Ciria et al. 2021).

Duties:

  • Conducting experimental research in machine learning
  • Modelling of behavior using deep neural networks
  • Interaction within the SCIoI cluster of excellence
  • Compilation of the results for presentations, project reports, and publications

Responsibilities include scientific research within the project and academic services in the Cluster. PhD position includes the enrollment in the Cluster's doctoral program. All positions require participation in research colloquia, lecture series and workshops, as well as an active engagement in the Cluster's research activities.

 

Requirements:

Applicants must - when the project begins in October 2022 - hold a diploma or masters degree in computer science, engineering, physics, mathematics or computational neuroscience. The ideal candidate has a background in robotics with strong expertise in machine learning.
 
The successful applicant should have
- excellent mathematical skills,
- in-depth programming skills in Python,
- very good command of English (spoken and written),
- strong interest in machine learning and a keen interest in understanding intelligence,
- the strong communicative skills required for interdisciplinary research,
- a conscientious work approach, flexibility, good time management, and ability to work in a team.
 
Please include a link to your GitHub profile in the application if available.

Application procedure:

Candidates should upload their application preferably via the portal http://jobs.scienceofintelligence.de in order to receive full consideration.

Applications should include: motivation letter, curriculum vitae, transcripts of records (for both BSc and MSc), copies of degree certificates (BSc, MSc), proof of English skills, abstracts of Bachelor- and Master-thesis, list of publications (if applicable), two names of qualified persons who are willing to provide references, and any documents candidates feel may help us assess their competence.

Please send your application until 25.11.2021 quoting the reference number

SClol-C4-45B to Technische Universität Berlin - The President – Cluster SClol, Sekr. SClol, Marchstr. 23, 10587 Berlin

HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Researchers from abroad are welcome to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply.

 

Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.

 

Contact person: Verena Hafner