PhD Position in Probabilistic and Neuro-Symbolic AI (m/f/x)

Graz University of Technology

16 Sep 2023
Job Data

Graz College of Know-how
Institute of Theoretical Pc Science
Analysis Discipline
Pc science
Researcher Profile
First Stage Researcher (R1)
Software Deadline
30 Oct 2023 – 23:00 (UTC)
Sort of Contract
Non permanent
Job Standing
Hours Per Week
Provide Beginning Date
1 Dec 2023
Is the job funded by means of the EU Analysis Framework Programme?
Reference Quantity
7080 / 2023 / 7391
Is the Job associated to employees place inside a Analysis Infrastructure?

Provide Description
Your Duties

We’re in search of a extremely motivated PhD pupil within the space Probabilistic Machine Studying and Neuro-Symbolic AI, who will contribute to an EIC funded mission on the design of DNA-based knowledge storage programs.

Humankind is producing and storing knowledge at an unprecedented price, with all identified knowledge worldwide anticipated to develop to 250 Zettabytes by 2025. Nonetheless, all present archival storage media face elementary limitations that threaten our potential to even retailer all this knowledge. DNA has been posited as a novel storage media due to its advantages, similar to sturdiness and density, amongst others. The imaginative and prescient on this mission is to make use of DNA nanostructures to retailer knowledge, in the same method to a compact disc. Decoding the information might be based mostly on microscopy, laptop imaginative and prescient, machine studying and symbolic approaches, particularly error correcting codes. 

The profitable candidate might be based mostly on the Institute of Theoretical Pc Science (IGI, TU Graz) and work primarily on the machine studying and symbolic components of this pipeline. They are going to collaborate with the Institute of Pc Graphics and Imaginative and prescient (ICG, TU Graz) and different European companions within the consortium.

Analysis (90%)

  • analysis in probabilistic machine studying and neuro-symbolic AI (e.g. neural nets, logic circuits and probabilistic circuits)
  • publishing papers in main AI/ML conferences and journals
  • working in the direction of a PhD thesis in AI/ML
  • collaboration with mission companions on DNA-based storage
  • supervision of Bachelor and Grasp initiatives

Administrative Duties (10%)

  • organizational and administrative duties, mission administration

Educating (non-obligatory)

  • if desired, the profitable candidate can contribute to instructing actions within the group (e.g., machine studying, reinforcement studying)


In your software, please submit:

  • a quick motivation letter (max 1 web page)
  • your CV (together with a listing of publications, if accessible)
  • transcript of data
  • suggestion letters, if accessible (max 3)
  • writing samples (max 3), e.g. Grasp thesis, studies or revealed papers

Your Profile
Admission Necessities

  • Grasp in Pc Science, Machine Studying, Synthetic Intelligence, Arithmetic, or related (if the Grasp isn’t but accomplished, please submit a brief assertion by the supervisor regarding progress)
  • wonderful coding abilities (Python, Julia, C++, and so forth.)
  • wonderful communication abilities
  • wonderful English abilities

We Provide

  • Fascinating space of duty
  • Collegial and pleasant working environment
  • Versatile working schedule (e.g. risk for house workplace, paid lunch break – relying on working hours)
  • Worldwide coaching and instructing alternatives
  • Seal of high quality for in-house development of ladies
  • Award for being essentially the most family-friendly firm in Styria 2018
  • Subsidy for public transport
  • College’s sports activities program
  • Purchasing Reductions
  • Office Well being Administration
  • High analysis infrastructure and entry to the newest applied sciences
  • Thrilling alternatives for skilled and private growth
  • Protected and secure working surroundings
  • Firm pension funds

We provide an annual gross wage of not less than € 45,882.20 for a fulltime place. An overpayment based mostly on qualification and expertise is feasible.

Graz College of Know-how goals to extend the proportion of ladies, particularly in administration and educational employees, and due to this fact certified feminine candidates are explicitly inspired to use. Choice might be given to girls if candidates are equally certified.

Graz College of Know-how actively promotes variety and equal alternatives. Candidates are to not be discriminated in opposition to in personnel choice procedures on the grounds of gender, ethnicity, faith or ideology, age, sexual orientation (Anti-discrimination).
Folks with disabilities and who’ve the related {qualifications} are expressly invited to use.

Organisational Unit

The place is allotted to the Institute of Theoretical Pc Science, inside the Probabilistic Machine Studying Group (Ass Prof Robert Peharz)

About us

Graz College of Know-how is the longest-established college of expertise in Austria. Right here, profitable groups of scholars, gifted up-and-coming scientists, bold researchers and a energetic start-up scene get pleasure from an inspirational surroundings in addition to entry to top-quality gear. And all this in one of the crucial progressive and livable areas in Europe. TU Graz gives an inspiring working surroundings with excellent infrastructure and service-oriented college administration.


Ass Prof Robert Peharz

Please word that we solely settle for functions submitted by way of our on-line software portal. Functions despatched by e-mail or publish might be ignored.


Analysis Discipline
Pc science
Schooling Stage
Grasp Diploma or equal


  • sturdy background in machine studying/synthetic intelligence
  • expertise in probabilistic machine studying
  • expertise in neuro-symbolic approaches


Analysis Discipline
Pc science
Years of Analysis Expertise
1 – 4

Further Data

Web site for extra job particulars

Work Location(s)

Variety of gives accessible
Institute of Theoretical Pc Science
Postal Code
Rechbauerstraße 12

The place to use

Web site


Web site
Rechbauerstraße 12
Postal Code
(+43) 316 873


View or Apply
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Job Location