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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.
Description
The Large Hadron Collider (LHC) at CERN is the world’s most powerful particle accelerator. The ALICE experiment (http://alice-collaboration.web.cern.ch/) is the dedicated heavy-ion detector at the LHC, built to explore the unique physics potential of nucleus-nucleus interactions at high energies. Our aim is to study the physics of strongly interacting matter at extreme energy densities, where the formation of a new phase of matter, the quark-gluon plasma (QGP), is expected. The existence of such a phase and its properties are key issues in QCD. For this purpose, we are carrying out a comprehensive study of particles (mainly hadrons) produced in the collision of heavy nuclei. ALICE is also studying proton-proton (pp) collisions both as a comparison with lead-lead (Pb-Pb) collisions and in physics areas where ALICE is competitive with other LHC experiments.
We are currently looking for one PhD student to join us in this research, as part of the MSCA European Training Network SMARTHEP (https://www.smarthep.org/). This PhD student will study and commission the upgraded ALICE Time Projection Chamber (TPC) detector, learn about machine learning through secondments at CERN (to work on TPC performance optimization) and at XIMANTIS (to work on hybrid networks), and perform a physics analysis of data from the ALICE detector at CERN.
Synergies between Machine learning, Real-Time analysis and Hybrid architectures for efficient Event Processing and decision making (SMARTHEP) will train 12 Early Stage Researchers (ESRs) across 10 host institutions across Europe to use real-time decision-making effectively leading to data-collection and analysis becoming synonymous, aided by machine learning and hybrid computing architectures. As part of SMARTHEP, you will join a dynamic research team that values science, technology, creativity and quality. We encourage the exploration of new ideas and innovations. You will work with a supportive international consortium which includes other enthusiastic young scientists as well as some of the world's leaders in the development of Real-Time Analysis (RTA) and key specialists from computer science and industry.
For a more detailed description of this project (ESR10), as well as other SMARTHEP positions, please see https://www.smarthep.org/positions/
Job assignment
The doctoral student will participate in research education which includes performing research but also advanced course work. The successful candidate would have the possibility to help with supervising Master students.
The activities are located at the Department of Physics at Lund University, with secondments at CERN (near Geneva, Switzerland) and at XIMANTIS (Lund). The six-month secondment at CERN will require temporary relocation to Switzerland. Other short visits at CERN and travel to international conferences are anticipated.
Employment contracts are expected to start as of October 1, 2022, at the latest.
Entry requirements
A formal requirement for doctoral studies in physics at Lund University is:
Furthermore, the acceptance is based on the estimated ability to accomplish postgraduate studies.
Other requirements
As the funding for this position comes from the MSCA ETN SMARTHEP, the following additional requirements also apply:
At the time of recruitment, the candidate must
Good knowledge of spoken and written English is a requirement.
Basis of Assessment
Selection to postgraduate studies is based on the candidate’s expected ability to perform well in the studies. The evaluation of the ability to perform well is based primarily on the results of studies at the basic and advanced levels, in particular:
Other assessment criteria:
The selection of the successful candidate will be based on the results of studies at the basic and advanced levels, the evaluation criteria indicated above, and the ability to cope with the challenges in the anticipated assignments. Special attention will be given to the master’s project.
Terms of employment
A PhD position is an employment with the main duty to be engaged in PhD studies according to the study plan. The duration of PhD studies is 4 years full time, with a status as MSCA ESR covering the first three years which includes a competitive salary, family and mobility and travel/training allowance. In addition, those appointed to doctoral student positions may be required to work with educational tasks, research and technical/administrative duties at a level of at most 20% of full time. The position is then extended correspondingly, however not longer than corresponding to 5 years full time employment. PhD positions are subject to special regulations. These can be found in the Swedish Higher Education Ordinance (SFS 1993:100, chapter 5, with updates). Only those who are or have been admitted to PhD-studies may be appointed to a PhD position.
Application procedure
Applicants should apply online via Lund University’s recruitment system Varbi (see link below).
Applicants are additionally requested, if possible, to upload their application to the SMARTHEP system (https://www.smarthep.org/positions/esr10/), where they can express a preference for up to three ESR projects, and specify that they are interested in “ESR10”. In accordance with Swedish law, the hiring decision for ESR10 will be based on the application materials submitted through Varbi.
All documents are to be uploaded in the recruitment system as pdf, Word or similar files.
Applications must include the following and can be considered incomplete and not possible to evaluate otherwise:
Type of employment | Temporary position |
---|---|
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100 |
City | Lund |
County | Skåne län |
Country | Sweden |
Reference number | PA2022/374 |
Published | 17.Feb.2022 |
Last application date | 17.Mar.2022 11:59 PM CET |