Postdoctoral Fellow in Experimental Particle Physics

Apply now Job no: 493063
Work type: Adjunct/Temp Faculty
Location: CERN (Switzerland)
Categories: Faculty/Instructor

Campus

OSU-Stillwater

Contact Name & Email

Dr. Flera Rizatdinova, flera.rizatdinova@okstate.edu

Dr. Joseph Haley, joseph.haley@cern.ch

Dr. Alexander Khanov, alexander.khanov@okstate.edu 

Work Schedule

TBD

Appointment Length

12 months or less

Hiring Range

$60,000 - $60,000

Salary

Priority Application Date

While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration.

Special Instructions to Applicants

Candidates should submit the following:
• Cover letter (including research interests)
• Curriculum Vitae
• They should also arrange for three letters of recommendation to be submitted.

About this Position

The Department of Physics in the College of Arts and Sciences at Oklahoma State University invites applications for a Postdoctoral Fellow position in the Experimental High-Energy Physics group to work on the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. This is a full-time, 12-month appointment with the possibility of renewal based on performance, funding availability, and group needs. The anticipated start date is by November 2025.

The successful candidate will join the Experimental High-Energy Physics group, which is actively involved in a broad range of physics analyses, including studies of top quarks, Higgs bosons, and searches for new physics beyond the Standard Model. We have a long-standing history of contributions to the development and calibration of b-tagging for long-lived particles, large-R jet identification, and jet energy calibration. In addition, we play a leading role in the ATLAS Phase-II Inner Tracker (ITk) upgrade, the optimization of b-tagging performance for the upgraded tracker.

Responsibilities

The successful candidate will:

  • Take a leading role in physics analyses.
  • Develop calibrations for heavy flavor tagging algorithms for the HL-LHC era.
  • Participate in ITk commissioning and integration.
  • Lead publications of physics analyses involving our group.
  • Mentor graduate students.
  • Present research at national and international conferences.

Required qualifications

Applicants must hold a Ph.D. in experimental particle physics by the time of appointment. Experience in data analysis, development of object identification or calibration methods in high-energy physics experiments, or hardware development is required. Excellent communication skills and the ability to work collaboratively in an international research environment are essential.

Preferred Qualifications

Prior experience with machine learning (ML) in high-energy physics is also highly desirable, though not required. 

Appointment details

The position is expected to be based primarily at CERN, with the possibility of being based in the US if preferred and compatible with project needs. The initial appointment will be for one year, with the expectation of renewal for a total duration of three to five years, contingent upon satisfactory performance and continued funding. Salary will be commensurate with experience and qualifications.

Application Instructions:

Candidates should submit the following:

  •  Cover letter (including research interests)
  •  Curriculum Vitae
  • They should also arrange for three letters of recommendation to be submitted.

Review of applications will begin around 20 days after posting and will continue until the position is filled.

Required Qualifications

  • Ph.D./Ed.D.

    Applicants must hold a Ph.D. in experimental particle physics by the time of appointment. 

  • Experience in data analysis, development of object identification or calibration methods in high-energy physics experiments, or hardware development is required.

  • Skills, Proficiencies, and/or Knowledge:

    Excellent communication skills and the ability to work collaboratively in an international research environment are essential.

Preferred Qualifications

  • Prior experience with machine learning (ML) in high-energy physics is also highly desirable, though not required. 

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