Wireless Communications and Networks  Lab (WHYNET)

The Department of Computer Engineering, Chosun University (South Korea) has multiple openings for the 2024 fall and 2025 spring semesters Graduate Student Research Assistant. It is available to national and international students interested in pursuing a Master or Ph.D. degree in Computer Engineering. 

Chosun University, one of the top universities in the nation, has built sister relations with several outstanding international universities. Chosun is using the knowledge and experience gained over the past 77 years to move forward towards a better, brighter future. Chosun University aims to nurture talented students who can contribute to national and international welfare through providing opportunities of intensive academic research, teaching, and public service based on national educational ideals and the established ideals at our university.

Research Team Description

Wireless Communications and Networks Lab (WHYNET LAB) of the Chosun University is focused on Artificial Intelligence (AI) -based solutions for traditional wireless communication technologies. In a broader sense, the research at WHYNET is taking advantage of AI techniques to prepare current technologies for the next-generation wireless communication systems. Another aspect of the research is to ensure the users privacy when they outsource their privacy sensitive data either to avail computational resources or for collaboration in both centralized and distributed paradigms.

Research Areas

The MS/Ph.D. positions are targeted at the following topics including (but not limited to) possible research directions:

1. Semantic Communication

   •  High data rate image communication system

   • Leveraging transfer learning and incremental learning for Knowledge Base design in semantic communication

2.  Privacy-preserving Machine Learning (PPML)

   • Cryptographic approach towards PPML

   • End-to-end communication system design for PPML schemes

3. Deep learning-based communication system design

   • DL-based channel estimation techniques

   • DL-based constellation design for modulation techniques

   • Channel modeling (based on Generative Adversarial Network (GAN) and Reinforcement Learning (RL)) for DL-based end-to-end communication system

4. Wireless Communication Systems

   • AI-based IoT Connectivity Controls

   • AI-based resource allocation schemes in wireless communication systems

   • Low power communication protocols for body area sensor networks

5. Network Security and Privacy Techniques

   • Design of routing protocols (preferably, the design should be based on AI) to achieve a better tradeoff between source location privacy and energy efficiency in wireless sensor networks

Note: For topic (1) and (2), knowledge of basic image processing and computer vision techniques is beneficial. For topics (1) – (4), knowledge of DL algorithms such as autoencoders, GANs, RLs is beneficial. For topic (5), knowledge of unsupervised machine learning techniques such as clustering, and graph neural network is beneficial.

For details on current projects, please refer to: Google scholar

Role Description

This is a full-time on-site role for a Graduate Student Research Assistant at Chosun University in Gwangju, South Korea. The Research Assistant will be responsible for day-to-day tasks associated with the research project including conducting research, data analysis, laboratory skills, and communication with the research team. The successful candidate will be expected to work independently and as part of a team to assist with data collection, analysis, and manuscript preparation.

Eligibility

To qualify for this position, applicants must meet the following requirements

• M.S (for Ph.D. applicants)/ B.S (for MS applicants) in Electronic Engineering, Computer  Science, Information Communication Engineering or related field

• TOEFL (iBT 80/ CBT 213 or higher) or IELTS (6.5 or above)

• Must have superior CGPA

• Good programming and mathematical skills

• Familiarity with Python and/or MATLAB

• Good ability to cooperate with others in a multicultural environment

• Good ability for highly motivated independent research

• Candidates with background in Artificial Intelligence will be given priority

Scholarship Description

What does it cover?

• Supports all kinds of registration fees (admission fee + tuition fee)

• Supports living cost 

• Supports all kind of journal publication fees

• Incentives will be provided for all research accomplishments with outstanding publications

• Chance to present your work in selected national and international conferences with all expenses covered

• All research facilities such as computers, simulation tools, and office supplies are provided at WHYNET

How to Apply:

The mode of application is online. Interested applicants should email the following documents to Prof. Seokjoo Shin (sjshin [at] chosun [dot] ac [dot] kr) or Dr. Ijaz Ahmad (ahmadijaz [at] chosun  [dot] kr). In the subject of email, please put “Application for Graduate Student Research Assistant  2024/2025”.

• Study plan clearly stating the research topics you are interested in. We would like to know  your research interests and their relation to the WHYNET LAB’s research focus

• Copies of academic transcripts and graduation certificates/degrees

• Abstract or a brief summary of most recent thesis

• List of publications (if available) and their status (e.g. accepted, in progress, submitted)

• Proof of English proficiency

• Curriculum Vitae (include full name, date of birth, nationality, contact details, education,  work experience, publications etc.)

Scholarship Application Deadline: Open, until the positions are filled

Note: To register for a Master/ Doctorate degree at Chosun University: 

• Fall semester application deadline is 7th May.

• Spring semester application deadline is in November. (Must email the above mentioned documents by mid October)

• For more details, please visit our school admissions' website: https://www3.chosun.ac.kr/eng/index..do

Notification

The selected candidates will be notified via email.

Links 

• University website: 

https://www3.chosun.ac.kr/global/2668/subview.do [Korean]

https://www3.chosun.ac.kr/eng/index..do [English]

• Gwangju City: 

https://www.gwangju.go.kr/eng/

If you have any questions, please do not hesitate to email them to Dr. Ijaz Ahmad (ahmadijaz [at] chosun [dot] kr). In the subject of email, please put “Application for Graduate Student Research  Assistant 2024/2025”.