PhD Candidates in Large Language Model inferencing
2 weeks ago
School of Electrical Engineering and Computer Science at KTH Project Third-cycle subject: Computer Science
The advertised doctoral student positions are within an ambitious, 5-year Wallenberg Scholar project titled "Scalable and adaptive inferencing for democratizing AI. In this 18 Million SEK project, we want to dramatically reduce the cost and power for serving large language models such as ChatGPT. Overall work will entail pruning and fine-tuning of large language models, as well as design, implementation, and evaluation of distributed systems and networks for machine learning inference. Supervision: Prof. Dejan Kostic What we offer- The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world .
- A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
- A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
- Work and study in Stockholm, close to nature and the water.
- Help to relocate and be settled in Sweden and at KTH .
- passed a second cycle degree (for example a master’s degree), or
- completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
- acquired, in some other way within or outside the country, substantially equivalent knowledge
- independently pursue his or her work
- collaborate with others,
- have a professional approach and
- analyse and work with complex issues.
- CV including your relevant professional experience and knowledge.
- Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above) . Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified .
- Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
dmk @kth.se
In your application, please refer to myScience.org and reference JobID 2883801 .
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