Like many computer systems, machine learning systems are bloated, with millions of lines of code being added to these systems every year. This bloat results in a technical debt when using these systems, where some resources (and energy) might be wasted due to this bloat. Besides the wasted resources, in general, code bloat leads to increased security vulnerabilities.

This project will investigate how to optimize machine learning systems, building on some of our recent results on removing code bloat where it exists. In addition, we will look at how to increase the modularity of these systems, to be more manageable, scalable, and efficient.

Project description
You will work in the intersection of computer systems, software engineering, and machine learning. Our aim will be to revolutionize how these systems operate, increasing their efficiency. This will enable you to develop a very unique set of skills in all three areas, while tackling interesting and challenging problems in all three areas.

The project is funded via WASP, the largest single project programme in the history of Sweden with over 5 Billion SEK (almost half a billion USD). The student will be part of the WASP graduate school and is required to take courses within the school. The perks of being a WASP student includes research visits to multiple top institutions, close collaboration with Swedish industry, and interacting with some of the best PhD students in Europe.

With 20 full time faculty, working on diverse problems related to computer systems and networking, our division Networks and Systems (CNS) at the Department of Computer Science and Engineering is one of the best places to do a PhD in computer systems in Europe. We are a collaborative environment, with collaborations within our division, but also with many others within Chalmers and beyond. We have access to cutting-edge equipments and labs.

Main responsibilities
Your major responsibilities are to pursue your own doctoral studies, while being active in WASP. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours. You will work closely with your supervisors in their respective areas of research with the aim of publishing in the best and most reputable venues in the field, e.g., EuroSys, NSDI, OSDI, HPDC, MLSys, ASPLOS, ICSE, and so on.

In addition, you will work in collaboration with KTH in Sweden, the University of Wisconsin Madisson and UMass Amherst in the USA.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
To qualify for this position, we would like you to have an M.Sc. with a focus on Computer Systems, Software Engineering, Machine learning, or related fields corresponding to at least 240 higher education credits.

WASP is highly competitive, and part of the evaluation process will be grades (specially in courses related to the project). That being said, we strongly encourage people with lower grades but strong relevant experience to apply.

You should preferably be able to code in C, C++ or Python. We expect you to become quickly confident in navigating and working with very-large code bases (Millions of lines of code), while being open to learning new technologies. Experience with Machine learning algorithms, or machine learning systems is a strong plus.

Industrial experience with software systems and large code basis can be a strong merit.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20210364 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 10 August, 2021

For questions, please contact:
Assistant professor Ahmed Ali-Eldin Hassan, CNS
ahmed.hassan@chalmers.se, +46 705577274

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   


Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!