- Jobsuche
- martigny vs
- search term string
Search term string Jobs in Martigny vs
Doctoral Candidate (Marie Skłodowska-Curie Actions Project) / LLM robustness F / M
Human-AI TeamingMartigny, SuisseVenues Supervisor (Evening)
Marriott InternationalVerbier, VS, SwitzerlandWomen in Science Fellowship Program F / M
IDIAPMartigny, SuisseEntrepreneur in Residence F / M
Administrative servicesMartigny, SuisseConseiller en prévoyance (f / h / d) – poste également ouvert aux personnes venant d’autres branches – Agence générale Sion-Valais romand
Swiss LifeAG Sion-Valais romandFractional CSO / Advisor - mRNA biotech
hays-gcj-v4-pd-onlineFullyTrainee (5 months internship).
Kudelski Group’s Internet of ThingsCheseaux, SwitzerlandDoctoral Candidate (Marie Skłodowska-Curie Actions Project) / LLM robustness F / M
Human-AI TeamingMartigny, SuisseAbout the Job
Job Title : Doctoral Candidate (Marie Skłodowska-Curie Actions Project)
Location : Idiap Research Institute, Martigny, Switzerland
Contract Type : Full-time Employment Contract
Duration : 36 Months
Gross Salary : € 4372.40 per month (without employer’s social contribution)
Application Deadline : 18 November 2024
About the Project
We are seeking a highly motivated Doctoral Candidate (DC) to join our research team as part of a prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network (DN) project : AlignAI. The AlignAI Doctoral Network aims to train doctoral candidates in the interdisciplinary Large Language Model (LLM) research field. It focuses on aligning these models with human values to ensure their development and deployment are ethically sound and socially beneficial. By integrating expertise from social sciences, humanities, and technical disciplines, the project will address critical issues such as explainability and fairness, ensuring LLMs contribute positively to education, mental health, and news consumption.
The doctoral candidate will focus on the robustness of explanations via adversarial prompting, using adversarial refinement to robustify an LLM. The successful candidate will have the opportunity to work closely with leading experts in the field.
Eligibility Criteria
- Doctoral Status : Applicants must not own a doctoral degree at the date of recruitment.
- Mobility Rule : Candidates must not have resided or carried out their main activity (work, studies, etc.) in Switzerland for more than 12 months in the 36 months immediately before the recruitment date.
- Nationality : Open to all nationalities.
- Doctoral Programme Enrollment : You must be willing to enrol in a doctoral programme at EPFL.
- Full-Time Commitment : The position requires full-time commitment with a physical presence at the recruiting institution. Teleworking is not permitted.
- Educational Background / Training : Candidates would preferably hold a Master (or equivalent) degree in a relevant field, have gained experience with transformers and language models, and proficiency in Python and PyTorch / TensorFlow.
Key Responsibilities
Selection Process
Benefits
Application Procedure
How to Apply : Submit your certificate, CV, cover letter (e.g., why are you interested in this project and / or what will you bring to this project. Max two pages), and contact information for two references through https : / / www.idiap.ch / en / careers.
Documentation : Candidates may be required to provide proof of residency history and eligibility criteria.
Timeline : The successful candidates will be invited for interviews by the 6
December 2024, and the final decision will be made by the 13
December 2024.
Additional Information
For more information about the project and the application process, please contact Dr Barbara Huguenin at
Equal Opportunity : We are committed to diversity and inclusion in our recruitment process, and we encourage applications from underrepresented groups and all qualified individuals, regardless of nationality, gender, or background.
Note : The recruitment process will adhere strictly to the European Charter for Researchers principles and the Code of Conduct for the Recruitment of Researchers.