Doctoral student in Computational Neuroscience School of Electrical Engineering and Computer Science at KTH KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Project description Third-cycle subject: Computational Science and Technology Neuromodulators are crucial for the brain function and while the effect of neuromodulation is relatively well studied, little is known about how neuromodulators affect the network activity dynamics. In this project we want to quantify the effects of neuromodulators on neuron/synapse properties and network structure and dynamics. The doctoral student will be part of Dr. Kumar's research group. The research group uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. The research in the Kumar lab is aimed at understading: The role of oscillations and correlations in communication between different brain areas [e.g. see Hahn et al. Nature Rev. Neurosci. 2019] Control of brain activity dynamics [e.g. see Vlachos et al. PloS Comp Bio 2016] Interaction between neuron properties and network activity dynamics [Sahasranamam et al. Sci. Reports 2015, Spreizer et al. PloS Comp Bio 2010, Hahn et al. 2020] Neural coding [e.g. Tauffer and Kumar 2020]. The research group is also developing mathematical models of brain diseases to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in brain diseases. More info.: https://www.kth.se/profile/arvindku/ Supervision: The doctoral student will be supervised by: Dr. Arvind Kumar What we offer The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.Read more A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement. A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment. Work and study in Stockholm, close to nature and the water. Help to relocate and be settled in Sweden and at KTH. High performance computing facilities at KTH. A highly interdisciplinary research environment with close interactions between theoreticians and experimentalists. Eligibility To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following: passed a degree at advanced level, completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or in any other way acquired within or outside the country acquired essentially equivalent knowledge. Requirements for English equivalent to English B/6, read more here. We are looking for a student with an MSc. (or equivalent) degree in Physics or Engineering and a strong background in analysis and modeling of physical/biological systems. Previous knowledge of neuroscience is useful but not necessary. Students who expect to graduate by Summer 2021 can also apply. Selection The candidate should have a background in analysis of dynamical systems and scientific computing, and willingness to learn to conduct experiments and analyse experimental data obtained from rodents. In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyse and work with complex issues. After the qualification requirements, great emphasis will be placed on personal competency. Target degree: Doctoral degree Information regarding admission and employment Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. Union representatives You will find contact information for union representatives on KTH's website. Doctoral section (Students’ union on KTH Royal Institute of Technology) You will find contact information for doctoral section on the section's website. Application Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement. Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time). Applications must include the following elements: CV including your relevant professional experience and knowledge. Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long) Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages. Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text. Other information Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values. For information about processing of personal data in the recruitment process please read here. We firmly decline all contact with staffing and recruitment agencies and job ad salespersons. Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence. Type of employment Temporary position longer than 6 months Contract type Full time First day of employment According to agreement Salary Monthly salary according to KTH's doctoral student salary agreement Number of positions 1 Working hours 100% City Stockholm County Stockholms län Country Sweden Reference number J-2021-0912 Contact Dr. Arvind Kumar, Universitetslektor, arvkumar@kth.se Natasha Kapama, HR, kapama@kth.se Published 08.Apr.2021 Last application date 17.May.2021 11:59 PM CET If you apply for this position please say you saw it on Psychoneuroxy

Doctoral student in Computational Neuroscience

School of Electrical Engineering and Computer Science at KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Project description

Third-cycle subject: Computational Science and Technology

Neuromodulators are crucial for the brain function and while the effect of neuromodulation is relatively well studied, little is known about how neuromodulators affect the network activity dynamics. In this project we want to quantify the effects of neuromodulators on neuron/synapse properties and network structure and dynamics.

The doctoral student will be part of Dr. Kumar's research group. The research group uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. The research in the Kumar lab is aimed at understading:

The role of oscillations and correlations in communication between different brain areas [e.g. see Hahn et al. Nature Rev. Neurosci. 2019]
Control of brain activity dynamics [e.g. see Vlachos et al. PloS Comp Bio 2016]
Interaction between neuron properties and network activity dynamics [Sahasranamam et al. Sci. Reports 2015, Spreizer et al. PloS Comp Bio 2010, Hahn et al. 2020]
Neural coding [e.g. Tauffer and Kumar 2020].

The research group is also developing mathematical models of brain diseases to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in brain diseases. More info.: https://www.kth.se/profile/arvindku/

Supervision: The doctoral student will be supervised by: Dr. Arvind Kumar

What we offer

The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.Read more
A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
Work and study in Stockholm, close to nature and the water.
Help to relocate and be settled in Sweden and at KTH.
High performance computing facilities at KTH.
A highly interdisciplinary research environment with close interactions between theoreticians and experimentalists.

Eligibility

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

passed a degree at advanced level,
completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
in any other way acquired within or outside the country acquired essentially equivalent knowledge.
Requirements for English equivalent to English B/6, read more here.

We are looking for a student with an MSc. (or equivalent) degree in Physics or Engineering and a strong background in analysis and modeling of physical/biological systems. Previous knowledge of neuroscience is useful but not necessary. Students who expect to graduate by Summer 2021 can also apply.

Selection

The candidate should have a background in analysis of dynamical systems and scientific computing, and willingness to learn to conduct experiments and analyse experimental data obtained from rodents. In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

independently pursue his or her work
collaborate with others,
have a professional approach and
analyse and work with complex issues.

After the qualification requirements, great emphasis will be placed on personal competency.

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.

Union representatives

You will find contact information for union representatives on KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

Application

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Applications must include the following elements:

CV including your relevant professional experience and knowledge.
Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.
Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2021-0912
Contact
Dr. Arvind Kumar, Universitetslektor, arvkumar@kth.se
Natasha Kapama, HR, kapama@kth.se
Published 08.Apr.2021
Last application date 17.May.2021 11:59 PM CET