Doctoral students in Large Language Model inferencing - Get Hired Fast

We are hiring a competitive Doctoral students in Large Language Model inferencing to join our passionate team at Kth Royal Institute Of Technology in Uppsala Uppsala County
Growing your career as a Full Time Doctoral students in Large Language Model inferencing is an awesome opportunity to develop excellent skills.
If you are strong in presentation, persuasion and have the right personality for the job, then apply for the position of Doctoral students in Large Language Model inferencing at Kth Royal Institute Of Technology today!

Doctoral students in Large Language Model inferencing

School of Electrical Engineering and Computer Science at KTH

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.

• 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.

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

• 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

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyse and work with complex issues.

We highly value scientific curiosity and the desire to tackle hard, relevant problems in an effort to make important research contributions

We invite application from students with a widely varied computer science and engineering, data science, and machine learning background.

After the qualification requirements, great emphasis will be placed on personal competency.

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.

Union representatives

You will find contact information for union representatives on KTH's website .

Doctoral section (Students’ union on KTH Royal Institute of Technology)

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Applications must include the following elements:

• 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.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

The positionmay includesecurity-sensitive activities. To become authorized, you therefore need to pass a possible security check.

We firmly decline all contact with staffing, recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

About KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here

Monthly salary according to KTH's doctoral student salary agreement

#J-18808-Ljbffr

Benefits of working as a Doctoral students in Large Language Model inferencing in Uppsala Uppsala County:

● Excellent benefits
● Advancement opportunities
● Advantageous package