乌普萨拉大学

Software principle and technique

项目介绍

Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Technology, Department of Electrical Engineering

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 54,000 students, more than 7,500 employees and a turnover of around SEK 8 billion.

PhD position in software principle and technique for on-body sensory information processing 

Electrification and digitalisation are among the largest areas for the future in the conversion to sustainable societies. The Department of Electrical Engineering conducts successful research and education in the areas – renewable energy sources, electric vehicles, industrial IoT, 5G communication and wireless sensor networks as well as smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with around 130 employees that all contribute to important technical energy and health challenges at the Ångström Laboratory.

The position will be at the division Solid-State Electronics, at the Department of Electrical Engineering.

The Division conducts cutting-edge research in biosensors and sensor systems for biomedicine and healthcare; medical engineering and neuroprosthetics; nanoelectronics for next-generation (or brain-inspired) computing; energy scavenging and energy-efficiency electronics; advanced thin film technology. Read more here

Read more about our benefits and what it is like to work at Uppsala University

Background
Human body can be equipped with wearable electronic devices that generate, process and transmit data in real time to monitor health conditions and perform neurosurgical treatment for patients, e.g., suffering from Parkinson’s disease (PD), essential tremor, dystonia and other neurological conditions. One challenge to realizing such a system is to create a software toolkit for on-body secure, low-power processing and computing signals generated by sensors and actuators.

Project description
The research assigned to the PhD position has a focus on developing machine learning (ML) modules to process tactile and tremor signals generated by neuromorphic electronic skin (ne-skin). The ne-skin converts analog tactile signals into electrical pulses, thus encoding the mechanical signals in spike timing. The task of the position consists of generating signals relevant to tremor, developing ML algorithms based on spiking neural networks (SNN) for processing the data streams to extract useful features from the data streams, developing techniques for supervised and unsupervised learning, and studying network dynamics.

We have an exciting work environment designed by the doctoral student and the research team together. The doctoral student will be supervised by at least two supervisors. The Department of Electrical Engineering also gives a salary supplement in addition to the local guidelines for doctoral students at Uppsala University.

Duties

  • Generate data relevant to tremor using ne-skin technique
  • Develop machine learning algorithms based on SNN to process generated data
  • Develop learning techniques for SNN based on the generated data
  • Analyze network dynamics based on the input and output data
  • The main duties of doctoral students are to devote themselves to their research studies which includes participating in the research project and third cycle courses. The work duties can also include teaching and other departmental duties (no more than 20%).

Requirements
 

  • The applicant must hold a master degree (or equivalent) in physics, mathematics, computer science or electrical engineering.
  • Very good oral and written proficiency in English.
  • We will put an emphasise in your personal qualities, especially ability to work in teams 

Additional qualifications
Experience in data processing, programming, algorithm or similar is beneficial

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date xx or as agreed. Placement: Uppsala

Application: Please use the link below. You should include a brief description of previous experiences, research interest and envisioned contribution to the project, CV, copies of diplomas, degrees, university transcripts and grades, a copy of master thesis (or a draft thereof) and other relevant documents. The candidates are requested to provide contact information to two reference persons.

For further information about the position, please contact: (Dr. Zhibin Zhang, 018-4714146, e-mail zhibin.zhang@angstrom.uu.se.

Please submit your application by 30 November2022, UFV-PA 2022/3455.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.  

项目概览

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北欧, 瑞典 所在地点
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截止日期 2022-11-30
乌普萨拉大学

院校简介

乌普萨拉大学,是坐落于瑞典古都乌普萨拉市的一所国际顶尖的综合性大学,是北欧地区的第一所大学。
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联系方式

电话: +46 18 471 00 00

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