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Postdoctoral Position in Deep Learning Applied in Gamma Spectrometry – Linköping University, Sweden, May 2022

Sweden

Linköping University invites applications for a Postdoctoral position in the field of deep learning applied in gamma spectrometry at the Department of Health, Medicine and Caring Sciences (HMV), Sweden – May 2022

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General Info

Position: Postdoctoral Position
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 2 Years
Salary: https://web103.reachmee.com/ext/I011/853/apply?site=7&lang=UK&validator=d7a66c13be778ef950c393a904293789&ihelper=https%3A%2F%2Fliu.se%2Fen%2Fwork-at-liu%2Fvacancies&job_id=18946

Workplace:
Department of Health, Medicine and Caring Sciences (HMV)

Linköping University, Sweden

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Qualification Details

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree.  This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are looking for a candidate with a PhD in advanced gamma spectrometry, nuclear physics, computer science or machine learning. Experience with developing neural networks is expected. Experience with gamma ray spectrometry and emergency preparedness would be advantageous. We expect that you can work independently, that you are curious and have good collaborative skills, as the project is performed in collaboration with specialists in gamma spectrometry and the radiation protection authority (SSM). The language used within the project is English. The research group is international, therefore it’s important that you have communication skills in English.

Responsibilities/Job Description

Work assignments

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

Radiation emergencies occur infrequently, but when they do occur, they may affect a large fraction of the population. In such situations, fast response on radiation protection measures must be provided by the governmental authorities, like the Swedish radiation safety authority (SSM). One of the key input parameters for radiation protection measures is the radionuclide composition in the released material to the environment.

The postdoc project aims to develop artificial neural networks (ANNs) to identify and quantify radionuclides in gamma-ray spectroscopy (HPGe detectors) quickly and accurately. The trained ANN systems will mimic the expertise and experience of the spectroscopist. The ANN will use gamma ray spectra computed via Monte Carlo simulations of the HPGe detector response as training and validation data. Spectra measured by the device and spectra available in the literature will be used for the testing of the proposed neural network. Such an AI system would be an essential tool in radiological emergencies and provide the expert and the SSM with qualified estimates on the released radioactive material. In the future, such systems could be further developed in many other applications, e.g. field gamma spectroscopy, where in addition to identification, also determine the depth distribution of the radioactive material in the soils.

The project will be supported by the radiation physics group, the machine learning and artificial intelligence competence in LiU.

The workplace

You will work at the Department of Health, Medicine and Caring Sciences (health physics group), a department where many interesting projects are ongoing. You will have access to gamma spectrometry and state-of-the-art-hardware for deep learning, within the research group but also through Sweden National Supercomputer Center (NSC) at Linköping University.

How to Apply?

Application Method: Online Application
Ref. No.: LiU-2022-01798

Application Procedure

Apply for this position by clicking on the button labelled “Apply” below. Your application must reach Linköping University no later than May 11th 2022.

Applications received after the deadline will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.We look forward to receiving your application!Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

About the Department

The Department of Health, Medicine and Caring Sciences (HMV) conducts teaching and research across a wide range of medical disciplines and is noted for its interdisciplinary profile. The aim of the department’s operations is to provide relevant training against the backdrop of a rapidly evolving healthcare sector and a society in constant flux. HMV is located both in Linköping and Norrköping .Read more at: www.liu.se/en/organisation/liu/hmv

About the Employer:

Note or Other details

About this job

This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years.

Starting date

By agreement.

Salary

Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here

Trade union representatives

Information about trade union contacts can be found here

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Contact details

Mats Eriksson
Biträdande professor
+46 13 28 26 76
[email protected]

Nils Dahlström
Universitetslektor
+46 13 28 58 43
[email protected]

Christine Ericsson
HR Partner
+46 13 28 66 97
[email protected]

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