PhD within H2020 ITN programme "MATERIALS FOR NEUROMORPHIC CIRCUITS (MANIC)
PhD within H2020 ITN programme "MATERIALS FOR NEUROMORPHIC CIRCUITS (MANIC)
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• Do you have a background in Artificial Intelligence?
• Would you like to become part of the next generation of experts in materials for cognitive applications?
• Have you just grad
Job description
PhD position Adaptive random non-linear mappings for neural computing in ferroelastic films
• Do you have a background in Artificial Intelligence?
• Would you like to become part of the next generation of experts in materials for cognitive applications?
• Have you just graduated or are you in the first four years of your research career?
• Are you interested in doing your PhD in a joint network of high profile research institutes across Europe under guidance of renowned supervisors?
Apply for a position in our exciting research on “Materials for Neuromorphic Circuits” (MANIC), and become part of the next generation of neuromorphic experts!
Funded by the European Commission through the Horizon 2020 Marie Sklodowska-Curie ITN Programme, the MANIC network offers a high level fellowship for joint research on cognitive applications of novel materials. The most talented and motivated students will be selected for advanced multidisciplinary research training, preferably starting November 2020.
ABOUT THE PROJECT
This project will focus on the construction of computational models that allow exploiting the properties of oxide films with nanoscale conduction paths that resemble basic neural networks. Local variability of conduction patterns in oxide films offer functional potential. The PhD will describe the pattern capacity for a proposed basic input/output architecture (grid), yielding theoretical predictions of scalability. Machine learning will be used to determine the relation between the measured conductivity maps and the actual connectivity between given leads. The main part of the research will be performed at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, under the Supervision of Lambert Schomaker. Additionally, the PhD will spend the secondments at partner institutions.
For more information on the available position and more detailed project description, please visit https://etnmanic.eu.
BENEFITS OF DOING YOUR PHD IN AN ITN NETWORK
ITNs are financially supported by the European Commission because they provide excellent research, training and career aspects. The benefits of being a PhD student in an ITN network:
• You will get the chance to participate in specially developed lectures and courses (e.g. on specific techniques, academic soft skills, etc.);
• You can already at an early stage in your career start building your personal professional network due to the embedding of our PhD projects in a high profile consortium with renown universities and innovative companies (such as IBM Research Zurich);
• You will be exposed to research in a non-academic environment. You will spend at least one month in the non-academic sector. This will enhance your capacity to understand the strategies, requirements and skills for doing research in a business environment
• You will get the opportunity to spend some time in the labs of other partners in the consortium (thereby you will get familiar with other disciplines, techniques, cultures etc.);
• You will be advised by excellent group leaders who are outstanding in their research and experienced in doctorate training.
• Do you have a background in Artificial Intelligence?
• Would you like to become part of the next generation of experts in materials for cognitive applications?
• Have you just graduated or are you in the first four years of your research career?
• Are you interested in doing your PhD in a joint network of high profile research institutes across Europe under guidance of renowned supervisors?
Apply for a position in our exciting research on “Materials for Neuromorphic Circuits” (MANIC), and become part of the next generation of neuromorphic experts!
Funded by the European Commission through the Horizon 2020 Marie Sklodowska-Curie ITN Programme, the MANIC network offers a high level fellowship for joint research on cognitive applications of novel materials. The most talented and motivated students will be selected for advanced multidisciplinary research training, preferably starting November 2020.
ABOUT THE PROJECT
This project will focus on the construction of computational models that allow exploiting the properties of oxide films with nanoscale conduction paths that resemble basic neural networks. Local variability of conduction patterns in oxide films offer functional potential. The PhD will describe the pattern capacity for a proposed basic input/output architecture (grid), yielding theoretical predictions of scalability. Machine learning will be used to determine the relation between the measured conductivity maps and the actual connectivity between given leads. The main part of the research will be performed at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, under the Supervision of Lambert Schomaker. Additionally, the PhD will spend the secondments at partner institutions.
For more information on the available position and more detailed project description, please visit https://etnmanic.eu.
BENEFITS OF DOING YOUR PHD IN AN ITN NETWORK
ITNs are financially supported by the European Commission because they provide excellent research, training and career aspects. The benefits of being a PhD student in an ITN network:
• You will get the chance to participate in specially developed lectures and courses (e.g. on specific techniques, academic soft skills, etc.);
• You can already at an early stage in your career start building your personal professional network due to the embedding of our PhD projects in a high profile consortium with renown universities and innovative companies (such as IBM Research Zurich);
• You will be exposed to research in a non-academic environment. You will spend at least one month in the non-academic sector. This will enhance your capacity to understand the strategies, requirements and skills for doing research in a business environment
• You will get the opportunity to spend some time in the labs of other partners in the consortium (thereby you will get familiar with other disciplines, techniques, cultures etc.);
• You will be advised by excellent group leaders who are outstanding in their research and experienced in doctorate training.
Specifications
- max. 38 hours per week
- Groningen View on Google Maps
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University of Groningen
Requirements
To comply with the funding rules of the Horizon 2020 Marie Sklodowska-Curie programme:
• You qualify as an Early Stage Researcher, meaning that - on the starting date of your employment with the host institute – you are in the first four years of your research career and have not (yet) been awarded a doctoral degree.
• You have not resided and/or have had your main activity (study, work, etc.) in the Netherlands for more than 12 months during the 3 years prior to the starting date of your employment with the respective host institute.
• The Call is open to any nationality, but please be informed the
• European Commission’s Research Executive Agency is entitled to request clarification for MSC researchers who are nationals of countries subjected to EU sanctions and doing research in particular fields (scientific) or raising specific ethics issues(dualuse/misuse).
In addition:
• You have research experience in artificial intelligence, computer science, mathematics, and/or engineering, or a combination thereof.
• You are proficient in English language (academic level).
Please also note that, while specific expertise can be a plus, methods can always be learned.
• You qualify as an Early Stage Researcher, meaning that - on the starting date of your employment with the host institute – you are in the first four years of your research career and have not (yet) been awarded a doctoral degree.
• You have not resided and/or have had your main activity (study, work, etc.) in the Netherlands for more than 12 months during the 3 years prior to the starting date of your employment with the respective host institute.
• The Call is open to any nationality, but please be informed the
• European Commission’s Research Executive Agency is entitled to request clarification for MSC researchers who are nationals of countries subjected to EU sanctions and doing research in particular fields (scientific) or raising specific ethics issues(dualuse/misuse).
In addition:
• You have research experience in artificial intelligence, computer science, mathematics, and/or engineering, or a combination thereof.
• You are proficient in English language (academic level).
Please also note that, while specific expertise can be a plus, methods can always be learned.
Conditions of employment
Marie Sklodowska Curie (MSC) projects offer highly competitive and attractive salary and working conditions.
• Selected candidates will have a fulltime employment contract for the duration of 36 months. Selected candidates will have an initial appointment of 12 months that will be extended by 24 months if they perform satisfactorily. Host institutes of which the standard PhD trajectory is more than 36 months may decide to offer an employment contract for a longer period.
• The salaries during the EU funded period of the fellowship comply with the H2020 Marie Sklodowska Curie Work Programme. More information can be found in the Information note for Marie Skłodowska-Curie Fellows inInnovative Training Networks (ITN) (version 2, 11/11/2019). Note that the total amount received may vary from employer to employer, even within the same country. This is because employer as well as employee payroll taxes and social security costs can be deducted from the gross salary.
• Selected candidates will enjoy at least the same standards and working conditions as those applicable to local researchers at the host institution holding a similar position.
MANIC is committed to the principles of the European Charter and Code of Conduct for the Recruitment of Researchers. (link: https://euraxess.ec.europa.eu/jobs/charter/code)
MANIC has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No 861153.
• Selected candidates will have a fulltime employment contract for the duration of 36 months. Selected candidates will have an initial appointment of 12 months that will be extended by 24 months if they perform satisfactorily. Host institutes of which the standard PhD trajectory is more than 36 months may decide to offer an employment contract for a longer period.
• The salaries during the EU funded period of the fellowship comply with the H2020 Marie Sklodowska Curie Work Programme. More information can be found in the Information note for Marie Skłodowska-Curie Fellows inInnovative Training Networks (ITN) (version 2, 11/11/2019). Note that the total amount received may vary from employer to employer, even within the same country. This is because employer as well as employee payroll taxes and social security costs can be deducted from the gross salary.
• Selected candidates will enjoy at least the same standards and working conditions as those applicable to local researchers at the host institution holding a similar position.
MANIC is committed to the principles of the European Charter and Code of Conduct for the Recruitment of Researchers. (link: https://euraxess.ec.europa.eu/jobs/charter/code)
MANIC has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No 861153.
Department
Faculty of Science and Engineering
ABOUT MANIC RESEARCHThe scientific aim of MANIC is to synthesize materials that can function as networks of neurons and synapses by integrating conductivity, plasticity and self-organization. Successes in deep learning show that the paradigm of neuromorphic computing is very attractive. However, current technology is based on the Turing/von Neumann architecture, requiring extensive communication and an excessive amount of energy for computing. The human brain performs pattern recognition tasks with a fraction of the power needed by supercomputers for similar tasks. In this multidisciplinary project, new (memristic) materials and architectures for neuromorphic computing will be investigated in order to develop materials that can learn. A network of 15 other Early Stage Researchers (ESRs) will work in the materials, devices and circuits aspects. Your AI expertise is needed to design the most fitting application.
