drjobs PhD 2024-18 NL - ICIQ Fully-Funded PhD Programme 2024 THIRD CALL

PhD 2024-18 NL - ICIQ Fully-Funded PhD Programme 2024 THIRD CALL

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Job Location drjobs

Tarragona - Spain

Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

The FullyFunded PhD Programme offered by The Institute of Chemical Research of Catalonia (ICIQ) is aimed at exceptional graduate students from all over the world to support their enrolment in a training and research programme in the field of chemistry ultimately leading to the completion of a Doctoral Thesis in partnership with the Universitat Rovira i Virgili (URV). The programme will also contribute to their professional career development in the fields of academia and industry.

This objective is achieved by:

The programme is addressed to highly qualified and talented graduate students with a keen interest in chemical research. Candidates should have an excellent academic record strong commitment to scientific research and a solid working knowledge of English.

Admission to the programme is on a competitive basis.

I. Available positions: See Annex 1

II. Application process

The entire application process will be completed online. Applicants must apply by accessing ICIQs Career Portal. Applications sent by email or any other means will not be eligible.

Only one application per person will be considered. In case of multiple applications only the first application submitted will be taken into consideration.

After completing the online form applicants must attach the following doents:

Please note that doents sent in hard copy cannot be processed.

Applicants should select only ONE PhD supervisor.

Once the application has been successfully completed an acknowledgement email will be automatically sent. Candidates must ensure that all the required doentation is included before submitting the application. Incomplete applications will not be considered.

III. Eligibility and evaluation criteria

The programme is open to graduate students from any nationality that fulfil the following eligibility criteria:

  1. Candidates must have a Masters or an equivalent degree in the areas of Chemistry Pharmacy Physics Chemical Engineering or related disciplines that must be completed by the time of enrolment in the PhD programme.

When in doubt regarding the eligibility criteria applicants should contact ICIQs People unit at prior to submission of the application.

Candidates who fulfil the eligibility criteria will be evaluated according to the following evaluation criteria:

  1. Curriculum vitae.
  2. Personal statement.
  3. Academic marks.
  4. English level.
  5. Personal interview for shortlisted candidates.

IV. Evaluation and Selection Process

The evaluation and selection of the candidates will be performed by the project supervisor supported by the People unit team and following the below procedure:

  1. Submitted applications will be checked for eligibility and those not fulfilling all the criteria will be rejected. It wont be possible to modify the application or to add missing doentation after the application has been submitted.
  2. The selection will be based on the evaluation criteria described in Section III.
  3. At the late stages of the selection process only shortlisted candidates will be contacted for a personal interview.
  4. All applicants will be notified of the final selection decision throughout the month of November 2024. The name of the awardees will be published on ICIQs website.

Successful candidates will be requested to inform ICIQ whether they accept or decline the offer within five business days after being notified. The offer will be considered declined in the event that the applicant does not respond during this time.

ICIQ follows in its selection process a gender equality opportunity policy and a nondiscrimination policy on the basis of age ethnic or social origin religion or belief sexual orientation language and disability.

ICIQ is committed to promoting a worklife balance for its employees and as such offers flexible working hours.

V. Grant Conditions

1. The awardees of an ICIQ FullyFunded PhD position will be considered research personnel in training and they will have an employment contract (a predoctoral contract) which is regulated in the Spanish Law 14/2011 of June 1st of Science Technology and Education.

2. Predoctoral contracts are renewed annually for up to 4 years. Renewal is subject to satisfactory performance in the PhD studies and related research activities.

3. The gross yearly salary of the contract shall be split into 12 monthly payments and distributed as shown below:


    4. The fellowship includes full social security coverage through the Spanish Social Security system providing access to the Spanish public health care system and pension and unemployment benefits.

    5. The grant holder is entitled to temporarily interrupt the fellowship in the following situations: temporary disability risk during pregnancy maternity paternity and adoption or foster care. The time elapsed during this interruption will not be accounted for against the total time.

    6. The contract will take effect on the date when the awarded student joins the centre.

    7. The FullyFunded PhD includes the costs of enrolment in the PhD programme. These costs will be paid by each beneficiary to the university and later they will be refunded by ICIQ. The PhD thesis has to be completed within 4 years.

    8. The PhD awardees will work fulltime at ICIQ and may not receive any other fellowship or regular income.

    9. The FullyFunded PhD position is incompatible with any other fellowship with the same purpose.

      Call opening

      September 30th 2024

      Call deadline

      October 27th 2024

      Notification to candidates

      As from October 28th 2024

      Start of fellowships:

      January 2024


      Supervisor: Prof. Nria Lpez

      Project Title: Machine Learning for the ysis of Experimental Data

      Number of positions: 1

      Description of the project:

      The student will employ the most advanced machine learning techniques to deconvolute and map the computational results to tridimensional structures for active materials. The project will be carried out in collaboration with the best experimental groups in Europe.

      Tasks to be performed by the PhD student:

      Preferred ss or background:


        Employment Type

        Full Time

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