Lead AI postdoctoral research fellow position within Cryptography and Security of AI

Location: Norway
Application Deadline: 25th November 2024
Published: 3 days ago

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Lead AI postdoctoral research fellow position within Cryptography and Security of AI

At the Department of Informatics, there is a vacancy for a postdoctoral research fellow position within the topic of cryptography and its applications to security of AI at the Selmer Center in Secure Communication.

The position is for a fixed term of 3 years and is associated with financing from the University of Bergen.

The position is open to either an incoming or an outgoing candidate, see LEAD AI mobility rules

About the host research group and research theme

This postdoctoral position is linked with a research effort aiming to apply cryptographic methods for studying the security aspects of Artificial Intelligence(AI). Cryptographic approaches will be tested for attacks on AI and existing protection methods in cryptography will be applied for security of AI. The candidate will have the freedom to explore new related topics and drive the research in the direction of security of AI and cryptographic elements.

The primary objectives of this project are to explore cryptographic methods and techniques for the security of AI. More concretely, there are three research objectives:

1) To analyze the security of machine learning (ML) models against modifications by using the principles of differential cryptanalysis.

2) To analyze the security of ML models against attacks that aim to recover the parameters of the model (e.g., weights of a neural network).

3) To investigate whether it is possible to improve the security of ML models to make them more resilient against attacks by adapting techniques which have been developed against differential and linear cryptanalyses.

The postdoc will work with a teamat the Selmer Center in Secure Communicationincluding among others Adj. Prof. Vincent RijmenandProf. Lilya Budaghyan.

About the LEAD AI fellowship programme

LEAD AI is the University of Bergen’s career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence.

The program has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560.

Qualifications and personal qualities

  • Applicants must hold a Norwegian PhD or an equivalent degree within cryptography or AI security or related areas, or must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded.
  • Applicants should have a genuine interest in AI, and the research proposal must be related to cryptography and its applications to security of AI.
  • Applicants cannot previously have been employed as a postdoctoral fellow at UiB and they cannot be employed by any other institution for the time of the fellowship.
  • Experience from cryptanalysis or AI security is a requirement
  • Experience with AI-related research and/or innovation is an advantage.
  • The LEAD AI mobility rules must be followed.
  • Outgoing fellowships require an uninterrupted stay of minimum 12 months at an institution outside of Norway, followed by a mandatory return period to the University of Bergen of at least 12 months.
  • Applicants must be able to work independently and in a structured manner and have the ability to cooperate with others.
  • Applicants must have excellent skills in oral and written English(self-assessed in the CV and demonstrated in the application).
  • The application and relevant documents must be in English.

Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also be considered during candidate evaluation.

Special requirements for the position

The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications.

About the position of postdoctoral research fellow

The position of postdoctoral research fellow is a fixed-term appointment with the primary objective of qualifying the appointee for work in top academic positions. The fixed-term period for this position is 3 years. The position may be extended by up to one year (maximum 4 years in total) if the appointee is granted externally financed research stays abroad. Individuals may not be hired for more than one fixed-term period as a postdoctoral research fellow at the same institution.

For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3of the fellowship, including a plan for the individual research budget, and information on additional funding where applicable.

It is a requirement that the project is completed in the course of the period of employment.

We can offer

  • An engaged and professionally stimulating working environment.
  • position as postdoctoral fellow (code 1352 in the basic collective agreement) and a gross annual salary of NOK 624500 (equivalent to pay grade 64) upon appointment. Further increases in salary are made according to length of service in the position. A higher salary may be considered for a particularly well-qualified applicant.
  • Welfare benefits* and social benefits including pension-savingin the Norwegian Public Service Pension Fund, occupational injury insurance, full salary during sick leave for 52 weeks,and paid parental leave**.
  • Extension of the position term (work contract) due to sick leave and parental leave.
  • Norwegian language courses free of charge.
  • High standardsfor working hours, holidays, place of work, health, and safety.
  • Access to specific training activities exclusively provided within the framework of the LEAD AI programme.

*) Subject to membership in the Norwegian National Insurance Scheme. For non-EU outgoing fellows, individual benefit agreement must be considered.

**) Right to paid parental leave requires 6 months paid work before first day of leave. See full requirements.

How to apply

Before starting the online application process, please familiarise yourself carefully with our application requirements in the Guide for Applicants and Application template. It is essential that all required attachments (see next section) are uploaded via our electronic recruiting system JobbNorge. Before uploading any documents in the portal (to minimise repetition of information):

  • In the ‘JobbNorge-application field’: Only write your name.
  • In the ‘JobbNorge-CV form’: Only fill in your 1) personal details, 2) information about your PhD-degree (in the field ‘Academic qualifications’) and 3) recent relevant work experience.
  • You do not need to fill in any other sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section.

Your application must include

  • A research proposal outlining your contribution towards the thematic area and host research group described above.
  • A brief account of your motivation for applying for the position.
  • CV with list of any works of scientific nature (publication list)
  • Mobility declaration
  • Ethics and security issues: self-assessment form
  • An initial self-assessment of opportunities for mandatory and recommended open science practices.
  • Only for outgoing fellowships: Match declaration signed by outgoing phase host institution.
  • Names and contact information for two referees. One of these should be the main PhD supervisor.
  • Letters of recommendation from the graduating university or previous employers are encouraged but not mandatory.
  • Transcripts and diplomas. If you have not yet completed your PhD degree, please submit a statement from your institution confirming that the thesis has been submitted.
  • Relevant certificates/references

The application and appendices with certified translations into English must be uploaded at JobbNorge.

Evaluation

We anticipate the whole evaluation procedure to take approximately 4 months from application deadline. Eligible applicants will be evaluated by three internationally renowned experts and assessed against criteria addressing excellence, impact, implementation, quality of the researcher and training, knowledge transfer (outgoing only), and networking opportunities (outgoing only). Details are stated in the Guide for applicants.

General information

For further details about the position, please contact:

Professor Lilya Budaghyan at the Department of Informatics, Lilya.Budaghyan@uib.no, +47 55 58 42 87or Head of Department Inge Jonassen, inge.jonassen@uib.no, +47 55584713.

For HR related questions contact:

HR adviser Karoline Christiansen at the Faculty of Science and Technology, karoline.christiansen@uib.no, +47 55 59 47 70.

The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.

Diversity is a strength that enables us to solve our tasks even better. UiB therefore needs qualified employees regardless of gender, ethnicity, religion, worldview, disability, sexual orientation, gender identity, gender expression, and age.

We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply.

The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.

Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.

We encourage applicants with disabilities, immigrant backgrounds, or gaps in their CV to apply. By indicating such circumstances in your application, you may receive favourable consideration. We ensure that at least one qualified applicant from each of these groups is invited for an interview as part of our commitment to inclusivity and equal opportunity.Further information about our employment process can be found here.

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