FAQs
What is the focus of the Systems Infrastructure Research (SIR) lab at Huawei Edinburgh?
The SIR lab focuses on next-generation data center technologies, specifically for both internal and external users. Current areas of interest include serverless systems, cluster scheduling, operating systems, heterogeneous hardware (CPU/GPU/NPU), and the application of machine learning to systems software.
What qualifications are required for the PhD internship position?
Candidates should be pursuing a PhD in a computer-related major and should have a strong interest in operating systems, distributed systems, cloud-native applications, and machine learning. Relevant project experience or academic research achievements are also important.
What type of projects might PhD interns work on during their internship?
PhD interns may work on projects related to serverless systems, cluster scheduling, operating systems, and machine learning applications within systems software, among other areas that align with the lab's focus on data center technologies.
Is previous experience in industry required for this internship?
Previous industry experience is not explicitly required, but relevant project experience or academic research achievements in the fields of interest will be beneficial for candidates applying for the internship.
Where is the PhD internship position located?
The PhD internship position is located in Edinburgh, at the Huawei office.
How can I apply for the PhD internship position?
Interested candidates should reach out to Huawei, expressing their interest and providing relevant information about their qualifications and experience, although specific application instructions are not detailed in the job description.
What is the duration of the PhD internship?
The job description does not specify the duration of the internship, so candidates are encouraged to inquire about this detail during the application process.
Is this internship position available for remote work?
The job description does not mention whether the internship is available for remote work, so candidates should clarify this when applying.
Are there any specific technologies or tools that PhD interns should be familiar with?
While the job description does not list specific technologies or tools, familiarity with operating systems, distributed systems, cluster scheduling techniques, and machine learning frameworks could be advantageous for candidates applying to the internship.
Can students in their final year of PhD studies apply for this internship?
While the job description does not specify, typically, students in their final year of PhD studies should be eligible to apply, especially if they have relevant experience in the required fields. Candidates are encouraged to verify this when applying.