PhD student in computational modeling of highdimensional visual category learning (m/f/x)

Ruhr-Universität Bochum; Bochum; Vor Ort; EUR 50.000 - 70.000; Teilzeit

Zusammenfassung

Die Ruhr-Universität Bochum sucht einen PhD-Studenten (m/w/x) für ein Forschungsprojekt in der kognitiven Neurobiologie. Diese Position beinhaltet die Entwicklung von digitalen Zwillingsmodellen für das Lernen von hochdimensionalen visuellen Kategorien und fördert die interdisziplinäre Zusammenarbeit in einem internationalen Umfeld. Es wird ein ausgezeichneter wissenschaftlicher Hintergrund sowie Teamfähigkeit erwartet. Gute Englischkenntnisse sind erforderlich.

Leistungen

Herausfordernde und abwechslungsreiche Aufgaben

Teamorientierte Zusammenarbeit

Dynamisches Umfeld

Flexibles Arbeitszeitmodell

Qualifikationen

• Abschluss (Master, Diplom oder äquivalent) in Computational Neuroscience, Informatik, Kognitionswissenschaft oder Maschinelles Lernen.
• Starke Programmierkenntnisse, insbesondere in Python.
• Kenntnis von rekurrenten neuronalen Netzwerkmodellen.

Aufgaben

• Entwicklung digitaler Zwillingsmodelle für die Kategorielernforschung.
• Analyse von Modelleingaben zur Testung theoretischer Rahmenbedingungen über visuelles Kategorielernen.
• Zusammenarbeit mit experimentellen Teammitgliedern zur Validierung rechnerischer Vorhersagen.

Kenntnisse

Programmierung

Deep Learning

Neurobiologie

Kommunikation

Teamarbeit

Ausbildung

Masterabschluss in relevantem Bereich

Tools

Python

PyTorch

TensorFlow

Jobbeschreibung

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Faculty of Biology and Biotechnology:
Cognitive Neurobiology

In order to fill afixed-term position in part-time (26,6861 hrs/week = 67%) at the earliest possible date, we are looking for 1

PhD student in computational modeling of highdimensional visual category learning (m/f/x)

The lab seeks to understand the cortical basis and computational principles of perception and experience-dependent plasticity in the brain. To this end, we use a multimodal approach including fMRI-guided electrophysiological recordings in rodents and non-human primates, and fMRI and iEEG in humans. See https://doi.org/10.1016/j.cub.2023.01.011 and https://doi.org/10.1038/s41467-024-51543-y for recent examples of our work. The PhD student will play a key role in our research efforts in this area.The lab is located at Ruhr-University Bochum (https://www.rub.de) and the German Primate Center (http://www.dpz.eu). At both locations, the lab is embedded into interdisciplinary research centers with international faculty and students pursuing cutting-edge research in cognitive and computational neuroscience. The PhD student will have access to dedicated computing infrastructure, including high performance computing clusters. The project will be conducted in close collaboration with the labs of Fabian Sinz (https://sinzlab.org), Alexander Gail (https://www.dpz.eu/sensomotorik), and Igor Kagan (http://igorkagan.org).The main site for this part of the project will be Bochum. Ruhr-University Bochum provides a vibrant and stimulating neuroscience community with a strong community in computational as well as experimental neurosciences. The PhD student will have the opportunity to join the International Graduate School for Neuroscience (https://www.ruhr-uni-bochum.de/igsn/index.html) or the International Graduate School of Biosciences (https://www.biologie.ruhr-uni-bochum.de/biodek/promotion/index.html.en).

The Department of Cognitive Neurobiology of Caspar Schwiedrzik at Ruhr-University Bochum is looking for an outstanding PhD student with expertise in computational cognitive neuroscience and/or deep learning to join our team to the neural basis of mental flexibility. The project investigates neural mechanisms of high-dimensional visual category learning, utilizing computational approaches as well as neuroimaging and neurophysiology in humans and macaque monkeys, respectively. It is funded by an ERC Consolidator Grant (Acronym DimLearn; “Flexible Dimensionality of Representational Spaces in Category Learning”). The PhD student’s project will focus on developing deep learning “digital twin” models based on neural and/or behavioral data to investigate flexible multi-task learning.

Scope:	part-time
Duration:	fixed-term,3 years
Start:	at the earliest possible date
Apply by:	2025-06-27

Your tasks:

• Develop cutting-edge digital twin models for category learning from neural and behavioral data
• Analyze model outputs to test theoretical frameworks about visual category learning
• Contribute to the development of a toolbox for digital twin modelling
• Work closely with experimental team members in DimLearn to validate computational predictions
• Presentation and publication of results through conference contributions and per-reviewed scientific publications

Your profile:

• A degree (master, diploma or equivalent) in a relevant field (e.g., Computational Neuroscience, Computer Science, Cognitive Science, Machine Learning)
• Strong programming skills, particularly in Python and deep learning frameworks (PyTorch, TensorFlow, or similar)
• Knowledge ofrecurrent neural network models
• A passion for understanding the neural basis of visual perception and its plasticity
• Excellent communication and teamwork skills
• Fluency in spoken and written English (a good command of English is a requirement, but fluency in German is not essential. The working language in the group is English)

We offer:

• Challenging and varied tasks with a high level of personal responsibility
• Team-oriented collaboration in a committed, international and appreciative team
• A dynamic environment
• An open working atmosphere
• Fair and flexible working hours

Further information:

The position is salaried and based on the collective agreement of the Länder (TV-L).If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.

Further information can be found at https://oeffentlicher-dienst.info/ (in German).

The place of work is Ruhr University Bochum.

Interested candidates (m/f/x) should submit their curriculum vitae, a description of their scientific interests (with a particular focus on the topic of the project) and the names and contact information of two references who are able to comment on your academic background and who agreed to be contacted.If the position is funded by third-party funds the employee has no teaching obligation.

German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF).https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en

The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact [e-mail].

The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim.

The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

Contact persons for further information:

Prof. Dr. Caspar M. SchwiedrzikTel.: [phone]

Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.

We look forward to receiving your application via our online application portal by 2025-06-27. Please make sure to mention the reference number ANR 4647.

Online application

RUHR-UNIVERSITÄT BOCHUM 44801 Bochum Universitätsstraße 150

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