哥德堡大学

Physics (with focus on machine learning and robotics, Soft Matter Lab)

项目介绍

Göteborgs universitet möter samhällets utmaningar med mångsidig kunskap. 53 300 studenter och 6 500 medarbetare gör universitetet till en stor och inspirerande arbetsplats. Stark forskning och attraktiva utbildningar lockar forskare och studenter från hela världen. Med ny kunskap och nya perspektiv bidrar Göteborgs universitet till en bättre framtid.

The Department of Physics at the University of Gothenburg is located in the center of Gothenburg, with approximately 100 employees. The communication routes are good both nationally and internationally. The research focuses within the fields of Atom- and Molecular Physics, Condensed Matter Physics and Spintronics, and Complex Systems and Biophysics and is performed in an international environment with extensive national and international collaborations. The education programs at the Department include Bachelor- and Master programs in Physics, physics teacher-training programs, as well as outreach courses in Physics aimed for the general public. Gothenburg Physics Centre is a close collaboration with three other departments within the Faculty of Science and Chalmers University of Technology, which creates an innovative environment for all researchers and students at the department.

For further information about the Department of Physics, please visit our website at www.physics.gu.se/english. More information about Gothenburg Physics Centre can be found at www.chalmers.se/en/centres/gpc/Pages/default.aspx.

Information about the research group:

The research will be carried out in the group at the University of Gothenburg led by Giovanni Volpe. The group focuses on soft matter, optical tweezers, statistical physics and machine learning.

Job assignments

We are looking for a PhD student at the Department of Physics at the University of Gothenburg. The applicant will

  • Work at the development of DeepTrack 2.0 (https://aip.scitation.org/doi/10.1063/5.0034891 and https://github.com/softmatterlab/DeepTrack-2.0) in close cooperation with the existing developers’ team at Soft Matter Lab. DeepTrack 2.0 is a software framework we are developing to perform quantitative digital video microscopy using deep learning. The PhD student will actively contribute to the technical design and implementation of the components of DeepTrack. Precisely, the task involves the development, testing and application of optical simulation pipelines for training deep learning networks, as well as the development of collaborative projects with other groups interested in using DeepTrack.

  • Build and operate small robots to study swarm robotics with embedded intelligence. The task involves all stages of design, fabrication, testing and programming the robots for different experiments. The robot models (inspired by the Kilobots https://ssr.seas.harvard.edu/kilobots) are small programmable units capable of motion, short-range communications, neighbor detection and more.

Qualifications

To apply, you should have a master’s degree, or equivalent, in physics or in related disciplines. We are looking for someone with experience (possibly) in programming, machine learning, robotics.

We are looking for a motivated person who can work individually but at the same time have a good ability to collaborate with other researchers in this multidisciplinary collaboration.

Previous experience with programming, machine learning, robotics is an advantage. Previous practical projects involving electronics, robotics, control systems and/or experience in robot design and modelling are an advantage. For the first possibility, previous experience in simulating optical devices and physical systems is a major advantage.               Previous experience with high performance code or deep learning is also an advantage.

Being a PhD is a 4-year full-time studies and leads to a Doctoral Degree. Those who are employed as doctoral students must primarily devote themselves to their doctoral education. However, a doctoral student may to a limited extent work with education, research and administration. Such work may, before the doctoral degree is completed, not cover more than 20 % of full-time work.

Eligibility

To be eligible for third-cycle studies, the applicant must meet both the general and specific entry requirements:

A person meets the general entry requirements for third-cycle courses and study programs if he or she:
1. has been awarded a second-cycle qualification,
2. has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or
3. has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

To meet the specific entry requirements for third-cycle studies, applicants must: (i) have a second-cycle (advanced-level) degree in a relevant* subject area in the natural sciences, or (ii) have completed studies for at least 60 higher education credits at a second-cycle level in relevant subject areas in the natural sciences, or (iii) have completed a corresponding programme of relevance to the planned third-cycle programme, in Sweden or in another country, or have equivalent qualifications.

*Relevant for the planned third-cycle education

The specific entry requirements also include an acceptable command of spoken and written English. Guidelines for assessing English proficiency may include a minimum score of 550 on the TOEFL test (or 213 on the TOEFL-CBT, or 79 on the TOEFL-iBT).

Assessment

Regulations for the evaluation of qualifications for education on a doctoral level are given in SFS 1993:100.

Selection among applicants who meet the requirements for basic and special eligibility is based on the ability to assimilate the education at postgraduate level. In the assessment, special emphasis is placed on documented qualifications regarding:

You should have a good ability to express yourself in both written and spoken English.

You should be a motivated person who can work individually but at the same time have a good ability to collaborate with other researchers in this multidisciplinary collaboration.

In the assessment, special emphasis is placed on documented qualifications regarding programming, machine learning, robotics. Knowledge of Python, Matlab, C/C++ or similar programming language is an advantage. For the first possibility, strong experience with standard Python ML libraries (e.g., Tensorflow, Keras, PyTorch) and software development tooling (git and docker) is preferable. For the second possibility, basic knowledge of Python, C/C++ or other high performance, python compatible programming language is an advantage, as well as, importantly, hands-on experience with robotics and electronics.

Employment

A new employment as a PhD student applies for a maximum of one year. The employment may be prolonged for up to two years at a time. The total employment period may not be longer than the equivalent of four years of full time doctoral studies.

Type of employment: Fixed-term employment, 4 years full time
Extent: 100 %
Location: Department of Physics, Gothenburg
First day of employment:  1 Sep 2021, or as agreed

University applies a local salary agreement of graduate students.

Appointment procedure

Please apply online

The application shall include:

Cover letter with an explanation of why you apply for the position
CV including scientific publications
Copy of exam certificate
Two referees (name, telephone number, relation)

For further information regarding the position

Giovanni Volpe, Professor, 031-786 9137, giovanni.volpe@physics.gu.se

Unions

Union representatives at the University of Gothenburg: http://www.gu.se/english/about_the_university/job-opportunities/union-representatives

How to apply

In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline. The selection of candidates is made based of the qualifications registered in the application.

录取要求

  • A person meets the general entry requirements for third-cycle courses and study programs if he or she: 1. has been awarded a second-cycle qualification, 2. has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or 3. has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
  • To meet the specific entry requirements for third-cycle studies, applicants must: (i) have a second-cycle (advanced-level) degree in a relevant* subject area in the natural sciences, or (ii) have completed studies for at least 60 higher education credits at a second-cycle level in relevant subject areas in the natural sciences, or (iii) have completed a corresponding programme of relevance to the planned third-cycle programme, in Sweden or in another country, or have equivalent qualifications.
  • The specific entry requirements also include an acceptable command of spoken and written English. Guidelines for assessing English proficiency may include a minimum score of 550 on the TOEFL test (or 213 on the TOEFL-CBT, or 79 on the TOEFL-iBT).

申请亮点

  • Previous experience with programming, machine learning, robotics is an advantage.
  • Previous practical projects involving electronics, robotics, control systems and/or experience in robot design and modelling are an advantage.
  • For the first possibility, previous experience in simulating optical devices and physical systems is a major advantage.
  • Previous experience with high performance code or deep learning is also an advantage.

项目概览

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截止日期 2021-06-29
哥德堡大学

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哥德堡大学是瑞典的一所世界一流综合性研究型大学。
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