06/12/2018

PhD in Big data privacy - methods that provide privacy guarantees when big data is used for machine learning and data mining.

Save to favorites

  • ORGANISATION NAME
    Maynooth University
  • ORGANISATION COUNTRY
    Ireland
  • FUNDING TYPE
    Funding
  • DEADLINE DATE
    04/01/2019
  • RESEARCH FIELD
    Professions and applied sciences
  • CAREER STAGE
    First Stage Researcher (R1) (Up to the point of PhD)

Outline

The PhD student will conduct research within the area of data privacy for big data. The successful applicant will work on methods that provide privacy guarantees when big data is used for machine learning and data mining. The student is expected to be excellent in computer science (including programming) and mathematics. This PhD position is funded by Prof. Torra's initial start-up funds. Supervisor’s web page: http://www.mdai.cat/vtorra/ 

All applicants must have:

• Relevant 2:1 degree (or higher) in Mathematics, Engineering, Physics, Computer Science, Statistics, Machine Learning, Data Science, or similar qualification 

• Ability to code in one or more of Matlab, C, R or Python 

• Strong linear algebra and calculus skills 

• Excellent written and verbal communication and presentation skills in English 

The studentships are for 48 months and include a tax free stipend of €18,500 p.a. and the payment of academic fees up to a maximum of €5,500 per annum, as well as a computer and travel allowance. 

Application Procedure: send a curriculum vitae and a cover letter to hamilton@mu.ie with PHD X in the subject line indicating the desired PhD project. Candidates are allowed to express interest in multiple PhD proposals 

Interview: to be advised. Appointment April/May 2019. 

Closing date for applications: 1st March 2019. 

 

What is funded

The studentships are for 48 months and include a tax free stipend of €18,500 p.a. and the payment of academic fees up to a maximum of €5,500 per annum, as well as a computer and travel allowance.

Duration

The studentships are for 48 months.

Eligibility

All applicants must have:

• Relevant 2:1 degree (or higher) in Mathematics, Engineering, Physics, Computer Science, Statistics, Machine Learning, Data Science, or similar qualification

• Ability to code in one or more of Matlab, C, R or Python

• Strong linear algebra and calculus skills

• Excellent written and verbal communication and presentation skills in English

More Information

Disclaimer:

The responsibility for the funding offers published on this website, including the funding description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.