Doctoral student in Physics with specialization in Astroparticle Physics

Welcome to Linnaeus University! A place for knowledge, ideas and development. For growth potential and a belief in the future. In Småland and in the world.

Welcome to Linnaeus University! A place for knowledge, ideas and development. For growth potential and a belief in the future. In Småland and in the world.

The ubiquity of sensor, computing, communication, and storage technologies provides us with access to previously unknown amounts of data—Big Data. It has revolutionized research communities and their scientific methodologies and innovated the approaches to knowledge and theory building, validation, and exploitation in the Sciences and the Humanities. With the foundation of a Linnaeus University Center on “Data Intensive Sciences and Applications” (DISA, https://lnu.se/disa) in Jan 2017, Big Data has officially become a research profile at Linnaeus University.

The advertised position will be physically placed in the Astroparticle Physics group and the candidate will work with Associate Professor Yvonne Becherini who is a member and key researcher of DISA. The thesis will be co-supervised by Associate Professor Sabri Pllana from the Computer Science Department.

The PhD candidate will work in Very-High-Energy gamma-ray astronomy and will participate in the international projects H.E.S.S. and the Cherenkov Telescope Array (CTA). In addition, the candidate will work in the framework of the construction and operation of ALTO, a wide-field and high-altitude gamma-ray observatory to be installed in the southern hemisphere, please visit the website lnu.se/en/ap for more information. All our projects are data intensive and pose huge challenges in data handling, data distribution and data analysis.

Field of subject for the position: Physics with specialization in Big Data in Astroparticle Physics

Placement: Department of Physics and Electrical Engineering, Faculty of Technology – Växjö Campus, Sweden

Extent: 100%

Work description

The focus of this advertised PhD position and the corresponding research project is on Big Data for Astroparticle Physics. The research will be performed within DISA, funded by Linnaeus University for five years. Overall aim of this DISA subproject is to better understand how to successfully manage, distribute and analyze large amount of data in Astroparticle Physics.

Duties will consist mainly of the following:


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Graduate studies in the field of Physics (with elective courses in Computer Science), with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks).


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Research in the field of Big Data in Very-High-Energy Astronomy. The position is part of DISA and its subproject in Astrophysics.


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Join the efforts in operating the Swedish CTA GRID node.


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Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.


• Close collaboration with the other project members in an interdisciplinary research environment as well as with domain experts
• At most 20% of the working time will be dedicated to teaching and other departmental tasks.

 More information about qualifications, asssesment criteria and contact persons:

https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=2743&rmlang=UK

 

Application must be marked with ref no: PA 2017/2252-2.2.1 and should be submitted online no later than 2017-06-01. The application must include a cover letter, a resume and the contact information of two referees. In addition, a link to the candidate’s Master’s thesis should be provided.


Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the "Apply" button at the bottom of the ad. Applicants are requested to the application resolving CV, cover letter , a copy of a relevant essay , grades and certificates and other relevant documents. The applicant also requested to submit with their application a proposed research plan within the current area of research. All documents must be attached to digital in the application. The application and other documents shall be marked with the reference number. All documents cited must be received by the University no later than 24.00 on the closing day.