id: MDMxNjE5MDIwMDA0NjkgMjYx

reference: 03161902000469

documentId: 03161902000469

connectionPointId: 261

lastModificationDate: 1550257203696

Stillingstittel:
MSCA Fellow - Computation and Learning in Networks of Sparsely Connected Units, Trajectories and Attractors

Stillingsbeskrivelse:
MSCA Fellow - Computation and Learning in Networks of Sparsely Connected Units, Trajectories and Attractors
Call for Expression of Interest for mutual application under the Marie Sklodowska-Curie Individual Fellowship scheme
We hereby invite for top-class researchers of any nationality (at any stage in their career) in the study of Computation and Learning in Networks of Sparsely Connected Units, Trajectories and Attractors to apply for a EU-funded Marie Sklodowska Curie Action Individual Fellowship (MSCA-IF) to conduct research at OsloMet - Oslo Metropolitan University for a period of 1-2 years.

Areas of research
Research group for Applied Artificial Intelligence (AAI) at the Department of Computer Science. Research group for Applied Artificial Intelligence (AAI) at the Department of Computer Science. This work will be carried out at the Living Technology Lab, hosted by the OsloMet Artificial Intelligence Lab.

Recurrent neural networks (RNNs) have been a prominent concept within artificial intelligence. They are inspired by biological neural networks (BNNs) and provide an intuitive and abstract representation of how BNNs work. Derived from the more generic artificial neural networks (ANNs), the recurrent ones are meant to be used for temporal tasks, such as speech recognition, because they are capable of memorizing historic input. However, such networks are very time consuming to train as a result of their inherent nature. Recently, echo state networks and liquid state machines have been proposed as possible RNN alternatives, under the name of reservoir computing (RC). Reservoir computers are far easier to train. The Reservoir Computing (RC) paradigm utilizes a dynamical system, i.e., a reservoir, and a linear classifier, i.e., a read-out layer, to process data.

This project will investigate networks of sparsely connected units (Cellular Automata, Random Boolean Networks, Spiking Neural Networks, etc.) as reservoir of dynamics. The investigated reservoir substrates will include properties of living systems such as evolution and development (i.e. an artificial EvoDevo approach, artificial evolutionary and developmental system). We invite applicants to propose more detailed topics within the scope of this research as a part of their application. Candidates are encouraged to submit proposal that include aspects of artificial life systems, e.g. the emergence of cognition through local interactions and self-organization.

We encourage applicants with background in artificial intelligence, artificial life, and complex systems. Successful candidates will be supervised by Associate Prof. Stefano Nichele will be working as team member of the OsloMet research group of the Department of Information Technology.

Important information about lab abstractJV_descriptions and project abstractJV_descriptions HERE.

 

With this call for Expression of Interest, we invite researchers to submit their resumé in ERC format (including publication list) and a short project abstractJV_description, that will be the basis for selecting a maximum of three candidates with which we will collaborate in developing competitive MSCA-IF proposals. In this first phase, the cooperation will be carried out remotely, but with regular email and Skype communication, and one physical meeting, if convenient. If applicants are successful, the place of work will be at the main campus in the center of Oslo.

Starting Date
The EU informs the results on the MSCA-IF applications in January/February 2020. Successful candidate(s) are expected to be available to start within the following 2 months. The candidates must be assessed as in principle eligible for a Marie Curie Individual Fellowship.

Main duties of the position

The successful candidate will primarily work on the Marie Curie funded project, but will be integrated at the research group and the department in general, by taking part in regular meetings and discussion groups, but will specifically be introduced with Stefano Nichele national and international network. If agreed with the candidate, he/she may also be included in other ongoing projects or in proposal processes. 

Research Experience: 

Good individual scientific research capabilities; 
Preferably already the first author of several scientific journal research papers;

Language skills: English 

We are looking for applicants who have

An excellent track record in research, necessary for being able to develop a competitive Marie Curie Fellowship application
An open and cooperation oriented nature, but with strong abilities for independent academic work

It is important for OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active efforts to further develop as an inclusive workplace and to adapt the workplace if required. 

Evaluation Committee

Interested candidates should upload their resume and a 1 page note describing the project for which a Marie Curie grant will be applied.

Proposals will be pre-selected based on internal evaluation and the availability of suitable supervision. Candidates will be informed of the results of the pre-selection by March 8th, 2019.

Selected candidates may be invited to Master classes to meet the supervisor and visit the research environment at OsloMet to further develop the proposal organised by OsloMet 29.04 -30.04.2019.

The candidate(s) selected to proceed with a full Marie Curie Application will be supported by the OsloMet EU team and the leader of the research group. Deadline for submission of Application is September 11th, 2019. 

Originals must be presented if you are invited for an interview. OsloMet performs document inspections in order to give you as a candidate a proper evaluation and ensure fair competition.

We can offer you

Initially, we offer assistance in developing competitive Marie Curie Individual Fellowship proposals. For successful applicants to the Marie Curie program, we offer; 

An exciting job opportunity at Norway's third largest and most urban universityFlexible working conditions

An inclusive and friendly work environment

Unique academic network the possibility for the right candidate(s) to pursue his/her academic goals under the Associate Professor Stefano Nichele 

Free Norwegian language classes for both staff and partners

Several staff sports and cultural benefits

Location in the center of Oslo

Onboarding assistance and other services


OsloMet has implemented the Charter & Code for researchers and been granted HR Excellence in Research the by the EU Commission. 

The Euraxess Norway and OsloMet's International Career Site gives information on living and working in Oslo.

Other information

If you would like more information about the positon, feel free to contact:

Pavan K Sriram, Senior Adviser, R&D Department, pavan.sriram (at) oslomet.no, phone +47 4767235599
Stefano Nichele, Associate Professor, Dept of Information Technology, Stefano.nichele (at) oslomet.no

Remuneration

The competitive fellowship opportunities are 100% funded and include living and mobility allowances.

If you wish to apply for the position, please apply electronically by clicking the button at the bottom of the page.

Deadline for applications: March 7th, 2019

Ref.:                           19/02119

OsloMet has implemented the Charter & Code and been certified by the EU Commission with HR Excellence in Research (HRS4R) and is part of the EU network for mobility of Researchers Euraxess.




Gang per uke: 100

Send søknad


numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310

abstractJV_contact_0: See jobabstractJV_description

Arbeidsgiver Navn:
OsloMet - storbyuniversitetet - Externally funded research projects

source: NAV